Tootfinder

The battery-electric vehicle boom in 🇧🇪 Belgium:
“In one year, their number jumped by 55.4%, from 254,240 in 2024 to 395,188 in 2025.”
The changes to the company car taxation scheme appear to be the main driver:
“The vast majority of these vehicles (81.8%) are registered in the name of a company”
https://

Rich Vehicle Routing Problem with diverse Vertices allowing Hierarchical and Multimodal Time-Dependant Transhipment of multiple Node- Vehicle- compatible Cargo with Cascaded Time-Minimization Objective for Emergency Decision Support Systems
Santanu Banerjee, Goutam Sen, Siddhartha Mukhopadhyay
https://arxiv.org/abs/2509.13227

Rich Vehicle Routing Problem with diverse Vertices allowing Hierarchical and Multimodal Time-Dependant Transhipment of multiple Node- Vehicle- compatible Cargo with Cascaded Time-Minimization Objective for Emergency Decision Support Systems
A rich vehicle routing problem is considered allowing multiple trips of heterogeneous vehicles stationed at distributed vehicle depots spread across diverse geographies having access to different modes of transportation. The problem arises from the real world requirement of optimizing the disaster response/preparedness time and minimizes the route duration of the vehicles to achieve the solution with the minimum highest-vehicle-route-duration. Multiple diversely-functional vertices are consider…

A Game-Theoretic Predictive Control Framework with Statistical Collision Avoidance Constraints for Autonomous Vehicle Overtaking
Sheng Yu, Boli Chen, Imad M. Jaimoukha, Simos A. Evangelou
https://arxiv.org/abs/2509.13545

A Game-Theoretic Predictive Control Framework with Statistical Collision Avoidance Constraints for Autonomous Vehicle Overtaking
This work develops a control framework for the autonomous overtaking of connected and automated vehicles (CAVs) in a mixed traffic environment, where the overtaken vehicle is an unconnected but interactive human-driven vehicle. The proposed method, termed the Game-Theoretic, PRedictive Overtaking (GT-PRO) strategy, successfully decouples the longitudinal and lateral vehicle dynamics of the CAV and comprehensively coordinates these decoupled dynamics via innovative longitudinal and lateral model…

“Rising number of charging cables trailing across London’s pavements is heightening trip hazards and posing risks to pedestrian safety
London Councils’ new guidance details cross-pavement EV charging solutions offering safer way for Londoners without driveways to charge at home”

Requirements for Early Quantum Advantage and Quantum Utility in the Capacitated Vehicle Routing Problem
Chinonso Onah, Kristel Michielsen
https://arxiv.org/abs/2509.11469 https:…

Requirements for Early Quantum Advantage and Quantum Utility in the Capacitated Vehicle Routing Problem
We introduce a transparent, encoding-agnostic framework for determining when the Capacitated Vehicle Routing Problem (CVRP) can achieve early quantum advantage. Our analysis shows this is unlikely on noisy intermediate scale quantum (NISQ) hardware even in best case scenarios that use the most qubit-efficient direct encodings. Closed-form resource counts, combined with recent device benchmarks, yield three decisive go/no-go figures of merit: the quantum feasibility point and the qubit- and gate…

A Domain Knowledge Informed Approach for Anomaly Detection of Electric Vehicle Interior Sounds
Deepti Kunte, Bram Cornelis, Claudio Colangeli, Karl Janssens, Brecht Van Baelen, Konstantinos Gryllias
https://arxiv.org/abs/2509.13390

A Domain Knowledge Informed Approach for Anomaly Detection of Electric Vehicle Interior Sounds
The detection of anomalies in automotive cabin sounds is critical for ensuring vehicle quality and maintaining passenger comfort. In many real-world settings, this task is more appropriately framed as an unsupervised learning problem rather than the supervised case due to the scarcity or complete absence of labeled faulty data. In such an unsupervised setting, the model is trained exclusively on healthy samples and detects anomalies as deviations from normal behavior. However, in the absence of…

Predicting and Explaining Traffic Crash Severity Through Crash Feature Selection
Andrea Castellani, Zacharias Papadovasilakis, Giorgos Papoutsoglou, Mary Cole, Brian Bautsch, Tobias Rodemann, Ioannis Tsamardinos, Angela Harden
https://arxiv.org/abs/2508.11504

Predicting and Explaining Traffic Crash Severity Through Crash Feature Selection
Motor vehicle crashes remain a leading cause of injury and death worldwide, necessitating data-driven approaches to understand and mitigate crash severity. This study introduces a curated dataset of more than 3 million people involved in accidents in Ohio over six years (2017-2022), aggregated to more than 2.3 million vehicle-level records for predictive analysis. The primary contribution is a transparent and reproducible methodology that combines Automated Machine Learning (AutoML) and explain…

A Task Equalization Allocation Algorithm Incorporating Blocking Estimation and Resource Similarity Analysis for Vehicle Control Real-Time Systems
Qianlong Duan, Bide Hao, Fan Zhou, Chen Fei, Shichun Yang
https://arxiv.org/abs/2509.14086

A Task Equalization Allocation Algorithm Incorporating Blocking Estimation and Resource Similarity Analysis for Vehicle Control Real-Time Systems
In multi-core real-time vehicle control systems, synchronization blocking and resource contention pose critical challenges due to increasing task parallelism and shared resource access. These issues significantly degrade system schedulability and real-time performance, as traditional task allocation algorithms often overlook blocking impacts, leading to high scheduling failure rates under heavy loads. To address this, we propose the BR-WFD algorithm, which integrates blocking time estimation an…

Two Utah men are arrested and charged with attempted aggravated arson after an incendiary device was found under a vehicle belonging to KSTU Fox 13 News (Annabelle Timsit/Washington Post)
https://www.washingtonpost.com/business/2025/09/15/fox-13-news-ut…

Utah men arrested after incendiary device is left under TV news vehicle
Investigators also found “two hoax weapons of mass destruction” at the residence of Adeeb and Adil Nasir, which the men said were real, according to an affidavit.

"China’s exports of electric vehicles doubled in September as competition at home intensifies"
#China #EV #ElectricVehicles

China’s exports of electric vehicles doubled in September as competition at home intensifies
HONG KONG (AP) — China has reported that its electric vehicle exports doubled in September from a year earlier as its automakers expanded further into overseas markets. The China Association of Automobile Manufacturers said Tuesday that exports of “new energy vehicles,” which include battery electric vehicles and plug-in hybrids, jumped 100% last month to 222,000 […]

Multimodal Mathematical Reasoning Embedded in Aerial Vehicle Imagery: Benchmarking, Analysis, and Exploration
Yue Zhou, Litong Feng, Mengcheng Lan, Xue Yang, Qingyun Li, Yiping Ke, Xue Jiang, Wayne Zhang
https://arxiv.org/abs/2509.10059

Multimodal Mathematical Reasoning Embedded in Aerial Vehicle Imagery: Benchmarking, Analysis, and Exploration
Mathematical reasoning is critical for tasks such as precise distance and area computations, trajectory estimations, and spatial analysis in unmanned aerial vehicle (UAV) based remote sensing, yet current vision-language models (VLMs) have not been adequately tested in this domain. To address this gap, we introduce AVI-Math, the first benchmark to rigorously evaluate multimodal mathematical reasoning in aerial vehicle imagery, moving beyond simple counting tasks to include domain-specific knowl…

CAMNet: Leveraging Cooperative Awareness Messages for Vehicle Trajectory Prediction
Mattia Grasselli, Angelo Porrello, Carlo Augusto Grazia
https://arxiv.org/abs/2510.12703 http…

CAMNet: Leveraging Cooperative Awareness Messages for Vehicle Trajectory Prediction
Autonomous driving remains a challenging task, particularly due to safety concerns. Modern vehicles are typically equipped with expensive sensors such as LiDAR, cameras, and radars to reduce the risk of accidents. However, these sensors face inherent limitations: their field of view and line of sight can be obstructed by other vehicles, thereby reducing situational awareness. In this context, vehicle-to-vehicle communication plays a crucial role, as it enables cars to share information and rema…

Deep Bilinear Koopman Model for Real-Time Vehicle Control in Frenet Frame
Mohammad Abtahi, Farhang Motallebi Araghi, Navid Mojahed, Shima Nazari
https://arxiv.org/abs/2507.12578

Deep Bilinear Koopman Model for Real-Time Vehicle Control in Frenet Frame
Accurate modeling and control of autonomous vehicles remain a fundamental challenge due to the nonlinear and coupled nature of vehicle dynamics. While Koopman operator theory offers a framework for deploying powerful linear control techniques, learning a finite-dimensional invariant subspace for high-fidelity modeling continues to be an open problem. This paper presents a deep Koopman approach for modeling and control of vehicle dynamics within the curvilinear Frenet frame. The proposed framewo…

reading more about the energia rockets at https://russianspaceweb.com

Somewhat belatedly (sorry!), this week’s #ThursdayFiveList theme is #ZenAndMotorcycles: songs about motorbikes.
1. Papewancalavera, “Hells Angels”—https://

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion
Santiago Montiel-Mar\'in, Angel Llamazares, Miguel Antunes-Garc\'ia, Fabio S\'anchez-Garc\'ia, Luis M. Bergasa
https://arxiv.org/abs/2509.10139

CaR1: A Multi-Modal Baseline for BEV Vehicle Segmentation via Camera-Radar Fusion
Camera-radar fusion offers a robust and cost-effective alternative to LiDAR-based autonomous driving systems by combining complementary sensing capabilities: cameras provide rich semantic cues but unreliable depth, while radar delivers sparse yet reliable position and motion information. We introduce CaR1, a novel camera-radar fusion architecture for BEV vehicle segmentation. Built upon BEVFusion, our approach incorporates a grid-wise radar encoding that discretizes point clouds into structured…

DEV: A Driver-Environment-Vehicle Closed-Loop Framework for Risk-Aware Adaptive Automation of Driving
Ana\"is Halin, Christel Devue, Marc Van Droogenbroeck
https://arxiv.org/abs/2508.10618

DEV: A Driver-Environment-Vehicle Closed-Loop Framework for Risk-Aware Adaptive Automation of Driving
The increasing integration of automation in vehicles aims to enhance both safety and comfort, but it also introduces new risks, including driver disengagement, reduced situation awareness, and mode confusion. In this work, we propose the DEV framework, a closed-loop framework for risk-aware adaptive driving automation that captures the dynamic interplay between the driver, the environment, and the vehicle. The framework promotes to continuously adjusting the operational level of automation base…

Life on Different Paths III🚶🚶‍♀️🚶‍♂️
生活诸多路径 III🚶🚶‍♀️🚶‍♂️
📷 Nikon FE
🎞️FOMAPAN Action 400
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

An Optimization Framework for the Time-Dependent Electric Vehicle Routing Problem with Shared Mobility: A Step Toward Smart Cities
Alireza Yazdiani, Shayan Bafandkar, Amir Elmi, Yousef Shafahi
https://arxiv.org/abs/2509.12623

An Optimization Framework for the Time-Dependent Electric Vehicle Routing Problem with Shared Mobility: A Step Toward Smart Cities
This paper aims to introduce a mathematical model to solve the time-dependent electric vehicles routing problem in shared travels. Shared mobility has gained significance recently due to its contribution to the alleviation of traffic congestion and air pollution. In this study, a MIP model has been developed and solved for a toy problem using the CPLEX solver to indicate the efficiency of shared mobility compared to private mode. We have considered practical constraints, such as considering the…

China's vision for its autonomous vehicle industry, backed by state support and infrastructure investment, is driving its lead in ADAS and robotaxi deployment (Yi-Ling Liu/Rest of World)
https://restofworld.org/2025/china-ai-powered-self-driving-cars/

China’s vision for a driverless future is miles ahead of everyone else’s
Strong government backing and strict regulatory oversight of the Chinese autonomous vehicle industry contrasts sharply with the piecemeal laws and slower adoption in the U.S.

Reducing (some of) the #EV benefits is never a popular measure. Perhaps that is why it is being introduced now, after the recent elections.
At the same time, the incentive remains in place, because the purchase tax on fossil fuel engines is also increasing, as are fuel taxes.

Norway to phase out electric vehicle VAT exemption from 2027 - electrive.com
In its 2026 state budget, Norway’s government has proposed reducing the VAT exemption threshold for electric cars from NOK 500,000 to NOK 300,000, before

Congenitally blind user of The vOICe: "I cannot feel the vehicle with the large diesel engine moving next to me but with The vOICe, I can see that it has many windows so is a bus as opposed to a truck."
What would a congenitally blind Neuralink Blindsight brain implant recipient see? #BCI #blindness

Low-Altitude UAV Tracking via Sensing-Assisted Predictive Beamforming
Yifan Jiang, Qingqing Wu, Hongxun Hui, Wen Chen, Derrick Wing Kwan Ng
https://arxiv.org/abs/2509.12698 http…

Low-Altitude UAV Tracking via Sensing-Assisted Predictive Beamforming
Sensing-assisted predictive beamforming, as one of the enabling technologies for emerging integrated sensing and communication (ISAC) paradigm, shows significant promise for enhancing various future unmanned aerial vehicle (UAV) applications. However, current works predominately emphasized on spectral efficiency enhancement, while the impact of such beamforming techniques on the communication reliability was largely unexplored and challenging to characterize. To fill this research gap and tackl…

SWA-PF: Semantic-Weighted Adaptive Particle Filter for Memory-Efficient 4-DoF UAV Localization in GNSS-Denied Environments
Jiayu Yuan, Ming Dai, Enhui Zheng, Chao Su, Nanxing Chen, Qiming Hu, Shibo Zhu, Yibin Cao
https://arxiv.org/abs/2509.13795

SWA-PF: Semantic-Weighted Adaptive Particle Filter for Memory-Efficient 4-DoF UAV Localization in GNSS-Denied Environments
Vision-based Unmanned Aerial Vehicle (UAV) localization systems have been extensively investigated for Global Navigation Satellite System (GNSS)-denied environments. However, existing retrieval-based approaches face limitations in dataset availability and persistent challenges including suboptimal real-time performance, environmental sensitivity, and limited generalization capability, particularly in dynamic or temporally varying environments. To overcome these limitations, we present a large-s…

Impact Analysis of Optimal EV Bi-directional Charging with Spatial-temporal Constraints
Xian-Long Lee, Adel N. Toosi, Peter Pudney, Ian McLeod, Muhammad Aamir Cheema, Hao Wang
https://arxiv.org/abs/2507.12877

Impact Analysis of Optimal EV Bi-directional Charging with Spatial-temporal Constraints
The growth in Electric Vehicle (EV) market share is expected to increase power demand on distribution networks. Uncoordinated residential EV charging, based on driving routines, creates peak demand at various zone substations depending on location and time. Leveraging smart charge scheduling and Vehicle-to-Grid (V2G) technologies offers opportunities to adjust charge schedules, allowing for load shifting and grid support, which can reduce both charging costs and grid stress. In this work, we de…

A security researcher said
flaws in a carmaker’s online dealership portal
exposed the private information
and vehicle data of its customers,
and could have allowed hackers to remotely break into any of its customers’ vehicles.
Eaton Zveare, who works as a security researcher at software delivery company Harness,
told TechCrunch the flaw he discovered
allowed the creation of an admin account
that granted “unfettered access” to the unnamed carma…

Security flaws in a carmaker's web portal let one hacker remotely unlock cars from anywhere | TechCrunch
Security researcher Eaton Zveare told TechCrunch that the flaws he discovered in the carmaker's centralized dealer portal exposed vast access to customer and vehicle data. With this access, Zveare said he could remotely take over a customer's account and unlock their cars, and more.

🚛 Eco-driving measures could significantly reduce vehicle emissions
#cars …

Eco-driving measures could significantly reduce vehicle emissions
Any motorist who has ever waited through multiple cycles for a traffic light to turn green knows how annoying signalized intersections can be. But sitting at intersections isn't just a drag on drivers' patience—unproductive vehicle idling could contribute as much as 15% of the carbon dioxide emissions from U.S. land transportation.

Embodied Intelligence in Disassembly: Multimodal Perception Cross-validation and Continual Learning in Neuro-Symbolic TAMP
Ziwen He, Zhigang Wang, Yanlong Peng, Pengxu Chang, Hong Yang, Ming Chen
https://arxiv.org/abs/2509.11270

Embodied Intelligence in Disassembly: Multimodal Perception Cross-validation and Continual Learning in Neuro-Symbolic TAMP
With the rapid development of the new energy vehicle industry, the efficient disassembly and recycling of power batteries have become a critical challenge for the circular economy. In current unstructured disassembly scenarios, the dynamic nature of the environment severely limits the robustness of robotic perception, posing a significant barrier to autonomous disassembly in industrial applications. This paper proposes a continual learning framework based on Neuro-Symbolic task and motion plann…

From Movement YVR
Cars expensive! Transit cheap!A new study finds that high transportation costs are driven largely by owning vehicles and people who live by rapid transit have a lower cost of living. We're absolutely shocked! (Just kidding, we aren't surprised at all.)The Metro Vancouver Housing and Transportation Cost Burden Study
Update just dropped, check it out here:

Aw, flat tires, so sad. Hopefully that's not a sign of low quality tires, it would be tough situation if that became a common problem for ICE! https://kolektiva.social/@615ANTIFASCIST/115180400255033086

ANTIFASCIST 615 (@615ANTIFASCIST@kolektiva.social)
Attached: 1 image Crowd Jeers as Border Patrol vehicle with flattened tires leaves Rochester neighborhood. https://13wham.com/news/local/crowd-jeers-as-border-patrol-vehicle-with-flattened-tires-leaves-rochester-neighborhood-park-avenue-westminster-road-us-ice-customs-and-border-protection-federal-agents-trump-administration-immigration

City Features V 🌆
城市特征 V 🌆
📷 Nikon FE
🎞️Ilford FP4 Plus, expired 1994
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

Crosslisted article(s) found for eess.AS. https://arxiv.org/list/eess.AS/new
[1/1]:
- A Domain Knowledge Informed Approach for Anomaly Detection of Electric Vehicle Interior Sounds
Kunte, Cornelis, Colangeli, Janssens, Van Baelen, Gryllias

Ghost Points Matter: Far-Range Vehicle Detection with a Single mmWave Radar in Tunnel
Chenming He, Rui Xia, Chengzhen Meng, Xiaoran Fan, Dequan Wang, Haojie Ren, Jianmin Ji, Yanyong Zhang
https://arxiv.org/abs/2509.06639

Ghost Points Matter: Far-Range Vehicle Detection with a Single mmWave Radar in Tunnel
Vehicle detection in tunnels is crucial for traffic monitoring and accident response, yet remains underexplored. In this paper, we develop mmTunnel, a millimeter-wave radar system that achieves far-range vehicle detection in tunnels. The main challenge here is coping with ghost points caused by multi-path reflections, which lead to severe localization errors and false alarms. Instead of merely removing ghost points, we propose correcting them to true vehicle positions by recovering their signal…

ChatGPT on the Road: Leveraging Large Language Model-Powered In-vehicle Conversational Agents for Safer and More Enjoyable Driving Experience
Yeana Lee Bond (Computer Science, Virginia Tech, Blacksburg, Virginia, USA), Mungyeong Choe (Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia, USA), Baker Kasim Hasan (Computer Science, Virginia Tech, Blacksburg, Virginia, USA), Arsh Siddiqui (Computer Science, Virginia Tech, Blacksburg, Virginia, USA), Myounghoon Jeon (Com…

ChatGPT on the Road: Leveraging Large Language Model-Powered In-vehicle Conversational Agents for Safer and More Enjoyable Driving Experience
Studies on in-vehicle conversational agents have traditionally relied on pre-scripted prompts or limited voice commands, constraining natural driver-agent interaction. To resolve this issue, the present study explored the potential of a ChatGPT-based in-vehicle agent capable of carrying continuous, multi-turn dialogues. Forty drivers participated in our experiment using a motion-based driving simulator, comparing three conditions (No agent, Pre-scripted agent, and ChatGPT-based agent) as a with…

The question for Europe's car industry is not whether to reach "2035" a year earlier or later, or what the market will look like in a decade. The question should be: what will the car market look like in a fortnight?
Fresh comparison Thailand - EU from the #ICCT earlier figure from the #IEA

US gov vehicle with no agency ID on cap crrscent trail north of Fletchers boathouse. white pickup. drove away when I stopped & took out camera

Active Inference Framework for Closed-Loop Sensing, Communication, and Control in UAV Systems
Guangjin Pan, Liping Bai, Zhuojun Tian, Hui Chen, Mehdi Bennis, Henk Wymeersch
https://arxiv.org/abs/2509.14201

Active Inference Framework for Closed-Loop Sensing, Communication, and Control in UAV Systems
Integrated sensing and communication (ISAC) is a core technology for 6G, and its application to closed-loop sensing, communication, and control (SCC) enables various services. Existing SCC solutions often treat sensing and control separately, leading to suboptimal performance and resource usage. In this work, we introduce the active inference framework (AIF) into SCC-enabled unmanned aerial vehicle (UAV) systems for joint state estimation, control, and sensing resource allocation. By formulatin…

The Silverado is such a grandpa vehicle. #roadtripthoughts

DashCam Video: A complementary low-cost data stream for on-demand forest-infrastructure system monitoring
Durga Joshi (Department of Natural Resources and the Environment, Eversource Energy Center, University of Connecticut, Storrs, CT, USA), Chandi Witharana (Department of Natural Resources and the Environment, Eversource Energy Center, University of Connecticut, Storrs, CT, USA), Robert Fahey (Department of Natural Resources and the Environment, Eversource Energy Center, University o…

DashCam Video: A complementary low-cost data stream for on-demand forest-infrastructure system monitoring
Our study introduces a novel, low-cost, and reproducible framework for real-time, object-level structural assessment and geolocation of roadside vegetation and infrastructure with commonly available but underutilized dashboard camera (dashcam) video data. We developed an end-to-end pipeline that combines monocular depth estimation, depth error correction, and geometric triangulation to generate accurate spatial and structural data from street-level video streams from vehicle-mounted dashcams. D…

i2Nav-Robot: A Large-Scale Indoor-Outdoor Robot Dataset for Multi-Sensor Fusion Navigation and Mapping
Hailiang Tang, Tisheng Zhang, Liqiang Wang, Xin Ding, Man Yuan, Zhiyu Xiang, Jujin Chen, Yuhan Bian, Shuangyan Liu, Yuqing Wang, Guan Wang, Xiaoji Niu
https://arxiv.org/abs/2508.11485

i2Nav-Robot: A Large-Scale Indoor-Outdoor Robot Dataset for Multi-Sensor Fusion Navigation and Mapping
Accurate and reliable navigation is crucial for autonomous unmanned ground vehicle (UGV). However, current UGV datasets fall short in meeting the demands for advancing navigation and mapping techniques due to limitations in sensor configuration, time synchronization, ground truth, and scenario diversity. To address these challenges, we present i2Nav-Robot, a large-scale dataset designed for multi-sensor fusion navigation and mapping in indoor-outdoor environments. We integrate multi-modal senso…

Turns out there's a way to keep bike lanes.. what a surprise
https://www.torontotoday.ca/local/city-hall/ontario-adding-vehicle-lane-keeping-bike-lanes-500m-bloor-11326886

The economic, social & Environmental impact of Electric Vehicle (EV) adaptation on Bangladeshi Society
Abdullah Al Noman, Hasibul Hassan Siam
https://arxiv.org/abs/2508.08398

The economic, social & Environmental impact of Electric Vehicle (EV) adaptation on Bangladeshi Society
This study examines the economic social and environmental impacts of electric vehicle adoption in Bangladesh using survey data from 57 respondents and secondary research. Findings show strong public perception of electric vehicles as cost effective with ninety three percent agreement and environmentally beneficial with eighty two point five percent agreement. Electric vehicles have potential to reduce fuel imports lower operational costs and create over fifty thousand jobs by 2030. Socially ele…

#USpol

I watched "Thief" (1981), directed by Michael Mann. Sort of a heist movie, sort of a mob movie, but aspires to be a Cassavetes movie. An interesting mix, and really well shot. Ryan Coogler said this was the film that made "wet-downs" a thing, and judging by all of the wet streets & sidewalks, I believe it.
Features Willie Nelson in a minor role. Also features a soundtrack by Tangerine Dream.

Autonomous real-time control of turbulent dynamics
Junjie Zhang, Chengwei Xia, Xianyang Jiang, Isabella Fumarola, Georgios Rigas
https://arxiv.org/abs/2509.11002 https://…

Autonomous real-time control of turbulent dynamics
Mastering turbulence remains one of physics' most intractable challenges, with its chaotic, multi-scale dynamics driving energy dissipation across transport and energy systems. Here we report REACT (Reinforcement Learning for Environmental Adaptation and Control of Turbulence), a fully autonomous reinforcement learning framework that achieves real-time, adaptive, closed-loop turbulence control in real-world environments. Deployed on a road vehicle model equipped solely with onboard sensors and …

NEEEEEEEEE!!
EU cave in on vehicle trade rules will cost European lives as… | T&E
https://www.transportenvironment.org/articles/eu-cave-in-on-vehicle-trade-rules-will-cost-european-lives…

Sources: Chord Music Partners, a music rights investment vehicle, raised $2B so far in a round due to close in October; Searchlight Capital has invested $400M (Murray Stassen/Music Business Worldwide)
https://www.musicbusiness…

Exclusive: Chord Music Partners raises $2 billion+ in investable capital… with another $1 billion+ on
Chord has raised the sum via a funding round due to close in October…

Military vehicle crashes into car in DC as states send more national guard troops;
Incident comes as six states pledge to send at least 1,200 troops to Washington DC despite falling crime rate
https://www.theguardian.com/us-news/2025/aug/20/military-vehicle-cras…

Mit dem neuen #BMW iX3 (ab 68.900 Euro 🤪) und einer DC-Wallbox startet das erste kommerzielle Vehicle-to-Grid-Angebot-Angebot für Privatkunden in #Deutschland.
Gemeinsam mit #EON können
EAutos k…

BMW und E.ON starten V2G-Angebot für Privatkunden - electrive.net
Der auf der IAA vorgestellte BMW iX3 ist für das bidirektionale Laden vorbereitet. Wenige Tage nach der Premiere des Autos haben BMW und E.ON das erste

Has anybody done any research into how vehicles (and i guess other products but vehicle are the main thing i can think of) named after a place sell in that place, compared to other comparable cities?
For example is the Toyota Tacoma noticeably more (or less) popular in the Tacoma, WA area compared to other parts of the country?

Study of Robust Features in Formulating Guidance for Heuristic Algorithms for Solving the Vehicle Routing Problem
Bachtiar Herdianto, Romain Billot, Flavien Lucas, Marc Sevaux
https://arxiv.org/abs/2508.06129

Study of Robust Features in Formulating Guidance for Heuristic Algorithms for Solving the Vehicle Routing Problem
The Vehicle Routing Problem (VRP) is a complex optimization problem with numerous real-world applications, mostly solved using metaheuristic algorithms due to its $\mathcal{NP}$-Hard nature. Traditionally, these metaheuristics rely on human-crafted designs developed through empirical studies. However, recent research shows that machine learning methods can be used the structural characteristics of solutions in combinatorial optimization, thereby aiding in designing more efficient algorithms, pa…

Design and Optimization of EV Charging Infrastructure with Battery in Commercial Buildings
Quan Nguyen, Christine Holland, Siddharth Sridhar
https://arxiv.org/abs/2509.12160 htt…

Design and Optimization of EV Charging Infrastructure with Battery in Commercial Buildings
The installation of electric vehicle (EV) charging stations in buildings is inevitable, as states push for increased EV adoption to support decarbonization efforts. This transition could force the need for grid infrastructure upgrades and enhanced controls to support reliable power delivery to end-use loads, and overall economic operation. This paper evaluates strategies that address these needs on two fronts: i) optimal sizing of service transformers and battery energy storage systems (BESS), …

Towards Fully Onboard State Estimation and Trajectory Tracking for UAVs with Suspended Payloads
Martin Jirou\v{s}ek, Tom\'a\v{s} B\'a\v{c}a, Martin Saska
https://arxiv.org/abs/2508.11547

Towards Fully Onboard State Estimation and Trajectory Tracking for UAVs with Suspended Payloads
This paper addresses the problem of tracking the position of a cable-suspended payload carried by an unmanned aerial vehicle, with a focus on real-world deployment and minimal hardware requirements. In contrast to many existing approaches that rely on motion-capture systems, additional onboard cameras, or instrumented payloads, we propose a framework that uses only standard onboard sensors--specifically, real-time kinematic global navigation satellite system measurements and data from the onboa…

🔋 Reusing EV batteries for energy storage can offer greater carbon savings than direct recycling
https://techxplore.com/news/2025-07-reusing-ev-batteries-energy-storage.html

Reusing EV batteries for energy storage can offer greater carbon savings than direct recycling
When electric vehicle (EV) batteries reach the end of their service life, they can be recycled to recover valuable raw materials for the production of new batteries. Alternatively, retired EV batteries can be repurposed for use as stationary energy storage systems, helping to integrate renewable energy into the power grid, manage peak loads, and enhance energy security.

Pony AI says it rolled out 200 Gen-7 Robotaxis since mass production started two months ago, putting it on track for its 1,000-vehicle goal by the end of 2025 (Bloomberg)
https://www.bloomberg.com/news/articles/2025-08-13/po…

GLIDE: A Coordinated Aerial-Ground Framework for Search and Rescue in Unknown Environments
Seth Farrell, Chenghao Li, Hongzhan Yu, Hesam Mojtahedi, Sicun Gao, Henrik I. Christensen
https://arxiv.org/abs/2509.14210

GLIDE: A Coordinated Aerial-Ground Framework for Search and Rescue in Unknown Environments
We present a cooperative aerial-ground search-and-rescue (SAR) framework that pairs two unmanned aerial vehicles (UAVs) with an unmanned ground vehicle (UGV) to achieve rapid victim localization and obstacle-aware navigation in unknown environments. We dub this framework Guided Long-horizon Integrated Drone Escort (GLIDE), highlighting the UGV's reliance on UAV guidance for long-horizon planning. In our framework, a goal-searching UAV executes real-time onboard victim detection and georeferenci…

Control Analysis and Design for Autonomous Vehicles Subject to Imperfect AI-Based Perception
Tao Yan, Zheyu Zhang, Jingjing Jiang, Wen-Hua Chen
https://arxiv.org/abs/2509.12137 …

Control Analysis and Design for Autonomous Vehicles Subject to Imperfect AI-Based Perception
Safety is a critical concern in autonomous vehicle (AV) systems, especially when AI-based sensing and perception modules are involved. However, due to the black box nature of AI algorithms, it makes closed-loop analysis and synthesis particularly challenging, for example, establishing closed-loop stability and ensuring performance, while they are fundamental to AV safety. To approach this difficulty, this paper aims to develop new modeling, analysis, and synthesis tools for AI-based AVs. Inspir…

You have entered the Ice Agt
The largest-ever single-site immigration raid in U.S. history unfolded Thursday
when federal agents arrested nearly 500 workers at a Hyundai facility in Georgia.
Most workers were Korean nationals who were building an electric vehicle battery plant.
Hyundai is investing over $12 billion in a record-setting economic development deal with the state,
and the South Korean government recently agreed to invest hundreds of billions more in t…

ICE Conducts Largest-Ever Raid at Georgia Hyundai Plant: 475 Arrested, Mostly Korean
We get an update on the largest-ever single-site immigration raid in U.S. history that unfolded Thursday when federal agents arrested nearly 500 workers at a Hyundai facility in Georgia. Most workers were Korean nationals who were building an electric vehicle battery plant. Hyundai is investing over $12 billion in a record-setting economic development deal with the state, and the South Korean government recently agreed to invest hundreds of billions more in the U.S. in exchange for lower tariff…

"Vehicle-integrated photovoltaics for biofuel-powered transport trucks"
#Vehicles #Trucks #Biofuel #SolarPower

Vehicle-integrated photovoltaics for biofuel-powered transport trucks
DHL Freight Sweden and Denmark-based Green Energy Group announced a one year nationwide pilot in Sweden to test the use of vehicle integrated PV with a fleet of biofuel-powered transport trucks.

Electric Vehicle Scheduling and Vehicle-to-Grid Integration in Microgrids
Nathan Cho, Andrea Lodi, Anna Scaglione
https://arxiv.org/abs/2508.06752 https://…

Electric Vehicle Scheduling and Vehicle-to-Grid Integration in Microgrids
The logistical challenges and high costs associated with procuring and transporting fuel to remote military bases underscore the need for sustainable and resilient energy solutions. Integrating renewable energy sources and electric vehicles into military microgrids offers a promising approach to enhance energy security and operational readiness. This paper explores the optimization of travel, charging, and discharging schedules for a fleet of military electric trucks, aiming to minimize relianc…

Relative Position Matters: Trajectory Prediction and Planning with Polar Representation
Bozhou Zhang, Nan Song, Bingzhao Gao, Li Zhang
https://arxiv.org/abs/2508.11492 https://

Relative Position Matters: Trajectory Prediction and Planning with Polar Representation
Trajectory prediction and planning in autonomous driving are highly challenging due to the complexity of predicting surrounding agents' movements and planning the ego agent's actions in dynamic environments. Existing methods encode map and agent positions and decode future trajectories in Cartesian coordinates. However, modeling the relationships between the ego vehicle and surrounding traffic elements in Cartesian space can be suboptimal, as it does not naturally capture the varying influence …

Approaches to Analysis and Design of AI-Based Autonomous Vehicles
Tao Yan, Zheyu Zhang, Jingjing Jiang, Wen-Hua Chen
https://arxiv.org/abs/2509.12169 https://

Approaches to Analysis and Design of AI-Based Autonomous Vehicles
Artificial intelligence (AI) models are becoming key components in an autonomous vehicle (AV), especially in handling complicated perception tasks. However, closing the loop through AI-based feedback may pose significant risks on reliability of autonomous driving due to very limited understanding about the mechanism of AI-driven perception processes. To overcome it, this paper aims to develop tools for modeling, analysis, and synthesis for a class of AI-based AV; in particular, their closed-loo…

Moody Urbanity - Oracles 🈳
情绪化城市 - 谕 🈳
📷 Nikon FE
🎞️ Ilford HP5 Plus 400, expired 1993
#filmphotography #Photography #blackandwhite

AccidentBench: Benchmarking Multimodal Understanding and Reasoning in Vehicle Accidents and Beyond
Shangding Gu, Xiaohan Wang, Donghao Ying, Haoyu Zhao, Runing Yang, Ming Jin, Boyi Li, Marco Pavone, Serena Yeung-Levy, Jun Wang, Dawn Song, Costas Spanos
https://arxiv.org/abs/2509.26636

AccidentBench: Benchmarking Multimodal Understanding and Reasoning in Vehicle Accidents and Beyond
Rapid advances in multimodal models demand benchmarks that rigorously evaluate understanding and reasoning in safety-critical, dynamic real-world settings. We present AccidentBench, a large-scale benchmark that combines vehicle accident scenarios with Beyond domains, safety-critical settings in air and water that emphasize spatial and temporal reasoning (e.g., navigation, orientation, multi-vehicle motion). The benchmark contains approximately 2000 videos and over 19000 human-annotated question…

VRPAgent: LLM-Driven Discovery of Heuristic Operators for Vehicle Routing Problems
Andr\'e Hottung, Federico Berto, Chuanbo Hua, Nayeli Gast Zepeda, Daniel Wetzel, Michael R\"omer, Haoran Ye, Davide Zago, Michael Poli, Stefano Massaroli, Jinkyoo Park, Kevin Tierney
https://arxiv.org/abs/2510.07073

VRPAgent: LLM-Driven Discovery of Heuristic Operators for Vehicle Routing Problems
Designing high-performing heuristics for vehicle routing problems (VRPs) is a complex task that requires both intuition and deep domain knowledge. Large language model (LLM)-based code generation has recently shown promise across many domains, but it still falls short of producing heuristics that rival those crafted by human experts. In this paper, we propose VRPAgent, a framework that integrates LLM-generated components into a metaheuristic and refines them through a novel genetic search. By u…

Vibroseis Vehicle Routing Problem with Spatio-Temporal Coupled Constraints
Kexin Zhu, Jialong Shi, Jianyong Sun, Heng Zhou, Mingen Kuang, Ye Fan
https://arxiv.org/abs/2508.06172

Vibroseis Vehicle Routing Problem with Spatio-Temporal Coupled Constraints
Simultaneous multi vibroseis vehicle operations are central to modern land seismic exploration and can be modeled as a Vehicle Routing Problem (VRP). A critical distinction from classical VRPs, however, is the need for a minimum start-time interval between nearby sources to prevent signal interference. This constraint introduces strong spatio-temporal coupling, as one vehicle's route directly impacts the schedules of others, leading to potential forced waits. This paper defines this novel probl…

Joint Price and Power MPC for Peak Power Reduction at Workplace EV Charging Stations
Thibaud Cambronne, Samuel Bobick, Wente Zeng, Scott Moura
https://arxiv.org/abs/2507.12703

Joint Price and Power MPC for Peak Power Reduction at Workplace EV Charging Stations
Demand charge often constitutes a significant portion of electricity costs for commercial electric vehicle charging station operators. This paper explores control methods to reduce peak power consumption at workplace EV charging stations in a joint price and power optimization framework. We optimize a menu of price options to incentivize users to select controllable charging service. Using this framework, we propose several solutions to achieve a reduction in both demand charge and overall oper…

Cooperative UAV-mounted RISs-assisted Energy-efficient Communications
Hongyang Pan, Yanheng Liu, Geng Sun, Qingqing Wu, Tierui Gong, Pengfei Wang, Dusit Niyato, Chau Yuen
https://arxiv.org/abs/2509.11533

Cooperative UAV-mounted RISs-assisted Energy-efficient Communications
Cooperative reconfigurable intelligent surfaces (RISs) are promising technologies for 6G networks to support a great number of users. Compared with the fixed RISs, the properly deployed RISs may improve the communication performance with less communication energy consumption, thereby improving the energy efficiency. In this paper, we consider a cooperative unmanned aerial vehicle-mounted RISs (UAV-RISs)-assisted cellular network, where multiple RISs are carried and enhanced by UAVs to serve mul…

“More than 9,000 low carbon assets were registered, including smart electric vehicle (EV) chargers, batteries and heat pumps.
The results highlight a maturing flexibility market, where customers and businesses are helping to strengthen the electricity network while cutting costs and supporting Net Zero.”

MCOP: Multi-UAV Collaborative Occupancy Prediction
Zefu Lin, Wenbo Chen, Xiaojuan Jin, Yuran Yang, Lue Fan, Yixin Zhang, Yufeng Zhang, Zhaoxiang Zhang
https://arxiv.org/abs/2510.12679

MCOP: Multi-UAV Collaborative Occupancy Prediction
Unmanned Aerial Vehicle (UAV) swarm systems necessitate efficient collaborative perception mechanisms for diverse operational scenarios. Current Bird's Eye View (BEV)-based approaches exhibit two main limitations: bounding-box representations fail to capture complete semantic and geometric information of the scene, and their performance significantly degrades when encountering undefined or occluded objects. To address these limitations, we propose a novel multi-UAV collaborative occupancy predi…

QTCAJOSA: Low-Complexity Joint Offloading and Subchannel Allocation for NTN-Enabled IoMT
Alejandro Flores C., Konstantinos Ntontin, Ashok Bandi, Symeon Chatzinotas
https://arxiv.org/abs/2507.13242

QTCAJOSA: Low-Complexity Joint Offloading and Subchannel Allocation for NTN-Enabled IoMT
In this work, we consider the resource allocation problem for task offloading from Internet of Medical Things (IoMT) devices, to a non-terrestrial network. The architecture considers clusters of IoMT devices that offload their tasks to a dedicated unmanned aerial vehicle (UAV) serving as a multi-access edge computing (MEC) server, which can compute the task or further offload it to an available high-altitude platform station (HAPS) or to a low-earth orbit (LEO) satellite for remote computing. W…

Lyft partners with Ann Arbor-based May Mobility to let riders in Atlanta request an autonomous minivan, with a safety driver, first in a seven square-mile area (Andrew J. Hawkins/The Verge)
https://www.theverge.com/news/775074/lyft-may-mobility-robotaxi-atlanta…

Lyft’s first ‘robotaxis’ are live in Atlanta
Lyft is launching its first commercial robotaxi service with May Mobility in Atlanta. The vehicles will have safety monitors in the driver seat who may manually operate the vehicle in the initial stages.

VeMo: A Lightweight Data-Driven Approach to Model Vehicle Dynamics
Girolamo Oddo, Roberto Nuca, Matteo Parsani
https://arxiv.org/abs/2510.07447 https://arx…

VeMo: A Lightweight Data-Driven Approach to Model Vehicle Dynamics
Developing a dynamic model for a high-performance vehicle is a complex problem that requires extensive structural information about the system under analysis. This information is often unavailable to those who did not design the vehicle and represents a typical issue in autonomous driving applications, which are frequently developed on top of existing vehicles; therefore, vehicle models are developed under conditions of information scarcity. This paper proposes a lightweight encoder-decoder mod…

LinguaSim: Interactive Multi-Vehicle Testing Scenario Generation via Natural Language Instruction Based on Large Language Models
Qingyuan Shi, Qingwen Meng, Hao Cheng, Qing Xu, Jianqiang Wang
https://arxiv.org/abs/2510.08046

LinguaSim: Interactive Multi-Vehicle Testing Scenario Generation via Natural Language Instruction Based on Large Language Models
The generation of testing and training scenarios for autonomous vehicles has drawn significant attention. While Large Language Models (LLMs) have enabled new scenario generation methods, current methods struggle to balance command adherence accuracy with the realism of real-world driving environments. To reduce scenario description complexity, these methods often compromise realism by limiting scenarios to 2D, or open-loop simulations where background vehicles follow predefined, non-interactive…

Online IMU-odometer Calibration using GNSS Measurements for Autonomous Ground Vehicle Localization
Baoshan Song, Xiao Xia, Penggao Yan, Yihan Zhong, Weisong Wen, Li-Ta Hsu
https://arxiv.org/abs/2510.08880

Online IMU-odometer Calibration using GNSS Measurements for Autonomous Ground Vehicle Localization
Accurate calibration of intrinsic (odometer scaling factors) and extrinsic parameters (IMU-odometer translation and rotation) is essential for autonomous ground vehicle localization. Existing GNSS-aided approaches often rely on positioning results or raw measurements without ambiguity resolution, and their observability properties remain underexplored. This paper proposes a tightly coupled online calibration method that fuses IMU, odometer, and raw GNSS measurements (pseudo-range, carrier-phase…

Helion 🇨🇭 has announced the pricing for the DC bidirectional wallbox, available as of early next year. CHF 3,300 (€ 3,500) excluding installation, CHF 5,700 with.
https://www.helion.ch/de/produkte/ladestationen/bidirektionales-laden/

Bidirektionales Laden | Helion
Bidirektionales Laden – die Zukunft der Elektromobilität und der Energieversorgung ✓ Vehicle-to-Grid ✓ Vehicle-to-Home ✓ BiDi-ready ➤ Jetzt anmelden!

Two-Stage Swarm Intelligence Ensemble Deep Transfer Learning (SI-EDTL) for Vehicle Detection Using Unmanned Aerial Vehicles
Zeinab Ghasemi Darehnaei, Mohammad Shokouhifar, Hossein Yazdanjouei, S. M. J. Rastegar Fatemi
https://arxiv.org/abs/2509.08026

Two-Stage Swarm Intelligence Ensemble Deep Transfer Learning (SI-EDTL) for Vehicle Detection Using Unmanned Aerial Vehicles
This paper introduces SI-EDTL, a two-stage swarm intelligence ensemble deep transfer learning model for detecting multiple vehicles in UAV images. It combines three pre-trained Faster R-CNN feature extractor models (InceptionV3, ResNet50, GoogLeNet) with five transfer classifiers (KNN, SVM, MLP, C4.5, Naïve Bayes), resulting in 15 different base learners. These are aggregated via weighted averaging to classify regions as Car, Van, Truck, Bus, or background. Hyperparameters are optimized with t…

China opens an investigation into Qualcomm's acquisition of Autotalks, a chipmaker specializing in vehicle communications, over potential antitrust violations (Vlad Savov/Bloomberg)
https://www.bloomberg.com/news/articles/2025-1…

ZS-Puffin: Design, Modeling and Implementation of an Unmanned Aerial-Aquatic Vehicle with Amphibious Wings
Zhenjiang Wang, Yunhua Jiang, Zikun Zhen, Yifan Jiang, Yubin Tan, Wubin Wang
https://arxiv.org/abs/2508.08690

ZS-Puffin: Design, Modeling and Implementation of an Unmanned Aerial-Aquatic Vehicle with Amphibious Wings
Unmanned aerial-aquatic vehicles (UAAVs) can operate both in the air and underwater, giving them broad application prospects. Inspired by the dual-function wings of puffins, we propose a UAAV with amphibious wings to address the challenge posed by medium differences on the vehicle's propulsion system. The amphibious wing, redesigned based on a fixed-wing structure, features a single degree of freedom in pitch and requires no additional components. It can generate lift in the air and function as…

Superadditivity properties and new valid inequalities for the vehicle routing problem with stochastic demands
Robin Legault, Panca Jodiawan, Jean-Fran\c{c}ois C\^ot\'e, Leandro C. Coelho
https://arxiv.org/abs/2508.05877

Superadditivity properties and new valid inequalities for the vehicle routing problem with stochastic demands
Over the past thirty years, the vehicle routing problem with stochastic demands has emerged as a canonical application of the integer L-shaped method, leading to an extensive body of literature and several methodological refinements. Recently, the disaggregated integer L-shaped (DL-shaped) method, which decomposes the recourse function by customer rather than treating it as an aggregate cost, has been proposed and successfully applied under the detour-to-depot recourse policy. However, the vali…

Fuel Consumption in Platoons: A Literature Review
Oumaima Barhoumi, Ghazal Farhani, Taufiq Rahman, Mohamed H. Zaki, Sofi\`ene Tahar, Fadi Araji
https://arxiv.org/abs/2508.10891 …

Fuel Consumption in Platoons: A Literature Review
Platooning has emerged as a promising strategy for improving fuel efficiency in automated vehicle systems, with significant implications for reducing emissions and operational costs. While existing literature on vehicle platooning primarily focuses on individual aspects such as aerodynamic drag reduction or specific control strategies, this work takes a more comprehensive approach by bringing together a wide range of factors and components that contribute to fuel savings in platoons. In this li…

“Extensive bidirectional charging functions are also available for the new BMW iX3, meaning that it can be used as an energy supply source for a variety of applications. The Vehicle-to-Load (V2L) function turns the new BMW iX3 into a mobile powerbank, which can supply electric devices with power while on the move. Vehicle-to-Home (V2H) hands it the role of storage unit for solar energy generated by home-fitted photovoltaic systems. [1/2]

The start of a new era. The new BMW iX3.
BMW presents the first series-produced Neue Klasse model. The new-generation BMW iX3 is a fully electric Sports Activity Vehicle (SAV) that gives customers their first on-the-road taste of a whole new era of Sheer Driving Pleasure. An all-new design language gives the car a character-rich appearance that faithfully conveys the technological progress made by the new model. With sixth-generation BMW eDrive technology, a range of up to 805 kilometres (500 miles) and a peak charging rate of 400 kW,…

VRAE: Vertical Residual Autoencoder for License Plate Denoising and Deblurring
Cuong Nguyen, Dung T. Tran, Hong Nguyen, Xuan-Vu Phan, Nam-Phong Nguyen
https://arxiv.org/abs/2509.08392

VRAE: Vertical Residual Autoencoder for License Plate Denoising and Deblurring
In real-world traffic surveillance, vehicle images captured under adverse weather, poor lighting, or high-speed motion often suffer from severe noise and blur. Such degradations significantly reduce the accuracy of license plate recognition systems, especially when the plate occupies only a small region within the full vehicle image. Restoring these degraded images a fast realtime manner is thus a crucial pre-processing step to enhance recognition performance. In this work, we propose a Vertica…

Autonomous Air-Ground Vehicle Operations Optimization in Hazardous Environments: A Multi-Armed Bandit Approach
Jimin Choi, Max Z. Li
https://arxiv.org/abs/2508.08217 https://

Autonomous Air-Ground Vehicle Operations Optimization in Hazardous Environments: A Multi-Armed Bandit Approach
Hazardous environments such as chemical spills, radiological zones, and bio-contaminated sites pose significant threats to human safety and public infrastructure. Rapid and reliable hazard mitigation in these settings often unsafe for humans, calling for autonomous systems that can adaptively sense and respond to evolving risks. This paper presents a decision-making framework for autonomous vehicle dispatch in hazardous environments with uncertain and evolving risk levels. The system integrates…

On vehicle routing problems with stochastic demands -- Part I: Generic integer L-shaped formulations
Matheus J. Ota, Ricardo Fukasawa
https://arxiv.org/abs/2510.04043 https://…

On vehicle routing problems with stochastic demands -- Part I: Generic integer L-shaped formulations
We study a broad class of vehicle routing problems in which the cost of a route is allowed to be any nonnegative rational value computable in polynomial time in the input size. To address this class, we introduce a unifying framework that generalizes existing integer L-shaped (ILS) formulations developed for vehicle routing problems with stochastic demands (VRPSDs). This framework and subsequent analysis allow us to generalize previous ILS cuts and pinpoint which assumptions are needed to apply…

Multi-View Camera System for Variant-Aware Autonomous Vehicle Inspection and Defect Detection
Yash Kulkarni, Raman Jha, Renu Kachhoria
https://arxiv.org/abs/2509.26454 https://

Multi-View Camera System for Variant-Aware Autonomous Vehicle Inspection and Defect Detection
Ensuring that every vehicle leaving a modern production line is built to the correct \emph{variant} specification and is free from visible defects is an increasingly complex challenge. We present the \textbf{Automated Vehicle Inspection (AVI)} platform, an end-to-end, \emph{multi-view} perception system that couples deep-learning detectors with a semantic rule engine to deliver \emph{variant-aware} quality control in real time. Eleven synchronized cameras capture a full 360° sweep of each vehi…

A Highly Compact Direct-Injection Power-Flow Controller and Line-Voltage Regulator with Shared Magnetics and Partial-Power Conversion for Full-Power Control
Davood Keshavarzi, Alexander Koehler, Stefan M. Goetz
https://arxiv.org/abs/2509.10955

A Highly Compact Direct-Injection Power-Flow Controller and Line-Voltage Regulator with Shared Magnetics and Partial-Power Conversion for Full-Power Control
An increasing integration of photovoltaic units, electric vehicle chargers, heat pumps, and energy storage systems challenges low-voltage power grids and can cause voltage range violation, loss of stability, (local) overload of lines, and power management problems. Research suggested universal power-flow control (UPFC) to solve power management problems. In contrast to bulky, slow, and costly conventional UPFCs with their shunt and series transformers, this paper presents a highly compact and c…

Kinetostatics and Particle-Swarm Optimization of Vehicle-Mounted Underactuated Metamorphic Loading Manipulators
Nan Mao, Guanglu Jia, Junpeng Chen, Emmanouil Spyrakos-Papastavridis, Jian S. Dai
https://arxiv.org/abs/2509.09093

Kinetostatics and Particle-Swarm Optimization of Vehicle-Mounted Underactuated Metamorphic Loading Manipulators
Fixed degree-of-freedom (DoF) loading mechanisms often suffer from excessive actuators, complex control, and limited adaptability to dynamic tasks. This study proposes an innovative mechanism of underactuated metamorphic loading manipulators (UMLM), integrating a metamorphic arm with a passively adaptive gripper. The metamorphic arm exploits geometric constraints, enabling the topology reconfiguration and flexible motion trajectories without additional actuators. The adaptive gripper, driven en…

A comparison of 🇳🇴 Norway and 🇿🇦 South Africa when it comes to electric vehicle taxation: “There, cars drive on the left side of the road, the sun is in the north at midday and the cars that pollute the least, namely electric cars, have the highest taxes.”
https://elbil.no/those-who-do-not-poll

Analysis and Design of Spare Strategy for Large-Scale Satellite Constellation Using Direct Insertion under (r,q) Policy
Seungyeop Han, Zachary Grieser, Shoji Yoshikawa, Takumi Noro, Takumi Suda, Koki Ho
https://arxiv.org/abs/2509.10585

Analysis and Design of Spare Strategy for Large-Scale Satellite Constellation Using Direct Insertion under (r,q) Policy
This paper introduces a Markov chain-based approach for the analysis and optimization of spare-management policies in large-scale satellite constellations. Focusing on the direct strategy, we model spare replenishment as a periodic-review reorder-point/order-quantity policy, where spares are deployed directly to constellation planes. The stochastic behavior of satellite failures and launch vehicle lead times is captured through Markov representations of both failure and replenishment dynamics. …

@… the problem with the Octopus one is that it’s tied to the vehicle lease. So if you sign up for more miles, you’ll get more free.

Replaced article(s) found for cs.RO. https://arxiv.org/list/cs.RO/new
[1/3]:
- Model Predictive Inferential Control of Neural State-Space Models for Autonomous Vehicle Motion P...
Iman Askari, Ali Vaziri, Xuemin Tu, Shen Zeng, Huazhen Fang

Electric Vehicle Routing Problem with Time Windows and Station-based or Route-based Charging Options
Tran Trung Duc, Vu Duc Minh, Nguyen Ngoc Doanh, Pham Gia Nguyen, Laurent El Ghaoui, Ha Minh Hoang
https://arxiv.org/abs/2509.07402

Electric Vehicle Routing Problem with Time Windows and Station-based or Route-based Charging Options
The Electric Vehicle Routing Problem with Time Windows and Station-based or Route-based Charging Options addresses fleet optimization incorporating both conventional charging stations and continuous wireless charging infrastructure. This paper extends Schneider et al.'s foundational EVRP-TW model with arc-based dynamic wireless charging representation, partial coverage modeling, and hierarchical multi-objective optimization prioritizing fleet minimization. Computational experiments on Schneider…

HYPE: Hybrid Planning with Ego Proposal-Conditioned Predictions
Hang Yu, Julian Jordan, Julian Schmidt, Silvan Lindner, Alessandro Canevaro, Wilhelm Stork
https://arxiv.org/abs/2510.12733

HYPE: Hybrid Planning with Ego Proposal-Conditioned Predictions
Safe and interpretable motion planning in complex urban environments needs to reason about bidirectional multi-agent interactions. This reasoning requires to estimate the costs of potential ego driving maneuvers. Many existing planners generate initial trajectories with sampling-based methods and refine them by optimizing on learned predictions of future environment states, which requires a cost function that encodes the desired vehicle behavior. Designing such a cost function can be very chall…

Robust Radar SLAM for Vehicle Parking Applications
Luis Diener, Jens Kalkkuhl, Markus Enzweiler
https://arxiv.org/abs/2509.07683 https://arxiv.org/pdf/2509…

Robust Radar SLAM for Vehicle Parking Applications
We address ego-motion estimation for automated parking, where centimeter-level accuracy is crucial due to tight spaces and nearby obstacles. Traditional methods using inertial-measurement units and wheel encoders require calibration, making them costly and time-consuming. To overcome this, we propose a radar-based simultaneous localization and mapping (SLAM) approach that leverages the robustness of radar to adverse weather and support for online calibration. Our robocentric formulation fuses f…

V2V-GoT: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multimodal Large Language Models and Graph-of-Thoughts
Hsu-kuang Chiu, Ryo Hachiuma, Chien-Yi Wang, Yu-Chiang Frank Wang, Min-Hung Chen, Stephen F. Smith
https://arxiv.org/abs/2509.18053

V2V-GoT: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multimodal Large Language Models and Graph-of-Thoughts
Current state-of-the-art autonomous vehicles could face safety-critical situations when their local sensors are occluded by large nearby objects on the road. Vehicle-to-vehicle (V2V) cooperative autonomous driving has been proposed as a means of addressing this problem, and one recently introduced framework for cooperative autonomous driving has further adopted an approach that incorporates a Multimodal Large Language Model (MLLM) to integrate cooperative perception and planning processes. Howe…