Tootfinder

Robotaxi company Motional loses capital support from automotive supplier Aptiv, the other half of a $4B joint venture with Hyundai that created Motional in 2019 (Kirsten Korosec/TechCrunch)
https://techcrunch.com/2024/01/31/auto…

Autonomous vehicle company Motional is about to lose a key backer | TechCrunch
Motional, the autonomous vehicle company created in a joint venture, is losing financial support from Aptiv.

AI robot tank. Hope it's hallucination-free.
https://www.techspot.com/news/102769-darpa-unleashes-20-foot-autonomous-robo-tank-glowing.html

Cybersecurity Pathways Towards CE-Certified Autonomous Forestry Machines
Mazen Mohamad, Ramana Reddy Avula, Peter Folkesson, Pierre Kleberger, Aria Mirzai, Martin Skoglund, Marvin Damschen
https://arxiv.org/abs/2404.19643

Cybersecurity Pathways Towards CE-Certified Autonomous Forestry Machines
The increased importance of cybersecurity in autonomous machinery is becoming evident in the forestry domain. Forestry worksites are becoming more complex with the involvement of multiple systems and system of systems. Hence, there is a need to investigate how to address cybersecurity challenges for autonomous systems of systems in the forestry domain. Using a literature review and adapting standards from similar domains, as well as collaborative sessions with domain experts, we identify challe…

This https://arxiv.org/abs/2310.05041 has been replaced.
link: https://scholar.google.com/scholar?q=a

An Anomaly Behavior Analysis Framework for Securing Autonomous Vehicle Perception
As a rapidly growing cyber-physical platform, Autonomous Vehicles (AVs) are encountering more security challenges as their capabilities continue to expand. In recent years, adversaries are actively targeting the perception sensors of autonomous vehicles with sophisticated attacks that are not easily detected by the vehicles' control systems. This work proposes an Anomaly Behavior Analysis approach to detect a perception sensor attack against an autonomous vehicle. The framework relies on tempor…

A look at the autonomous truck industry's challenges, including a lack of federal regulation, as Aurora and Kodiak plan a major expansion in Texas this year (Trisha Thadani/Washington Post)
https://wapo.st/3xlJxje

Ready or not, self-driving semi-trucks are coming to America’s highways
As several self-driving truck companies gain momentum around the country, state and federal lawmakers are grappling with how to regulate the new technology.

This https://arxiv.org/abs/2310.05041 has been replaced.
link: https://scholar.google.com/scholar?q=a

An Anomaly Behavior Analysis Framework for Securing Autonomous Vehicle Perception
As a rapidly growing cyber-physical platform, Autonomous Vehicles (AVs) are encountering more security challenges as their capabilities continue to expand. In recent years, adversaries are actively targeting the perception sensors of autonomous vehicles with sophisticated attacks that are not easily detected by the vehicles' control systems. This work proposes an Anomaly Behavior Analysis approach to detect a perception sensor attack against an autonomous vehicle. The framework relies on tempor…

Unifying F1TENTH Autonomous Racing: Survey, Methods and Benchmarks
Benjamin David Evans, Raphael Trumpp, Marco Caccamo, Hendrik Willem Jordaan, Herman Arnold Engelbrecht
https://arxiv.org/abs/2402.18558

Unifying F1TENTH Autonomous Racing: Survey, Methods and Benchmarks
The F1TENTH autonomous racing platform, consisting of 1:10 scale RC cars, has evolved into a leading research platform. The many publications and real-world competitions span many domains, from classical path planning to novel learning-based algorithms. Consequently, the field is wide and disjointed, hindering direct comparison of methods and making it difficult to assess the state-of-the-art. Therefore, we aim to unify the field by surveying current approaches, describing common methods and pr…

This https://arxiv.org/abs/2311.17681 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

A low-cost Framework for Decentralized Autonomous Intersection Management
This paper addresses the traffic management problem for autonomous vehicles at intersections without traffic signals. In the current system, a road junction has no traffic signals when the traffic volume is low to medium. Installing infrastructure at each unsignalled crossing to coordinate autonomous cars can be formidable. We propose a novel low-cost solution strategy where the vehicles use a harmony matrix to find the best possible combination of the cars to cross the intersection without any…

This https://arxiv.org/abs/2311.17681 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

A low-cost Framework for Decentralized Autonomous Intersection Management
This paper addresses the traffic management problem for autonomous vehicles at intersections without traffic signals. In the current system, a road junction has no traffic signals when the traffic volume is low to medium. Installing infrastructure at each unsignalled crossing to coordinate autonomous cars can be formidable. We propose a novel low-cost solution strategy where the vehicles use a harmony matrix to find the best possible combination of the cars to cross the intersection without any…

This https://arxiv.org/abs/2311.03484 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Osprey: Multi-Session Autonomous Aerial Mapping with LiDAR-based SLAM and Next Best View Planning
Aerial mapping systems are important for many surveying applications (e.g., industrial inspection or agricultural monitoring). Aerial platforms that can fly GPS-guided preplanned missions semi-autonomously are already widely available but fully autonomous systems can significantly improve efficiency. Autonomously mapping complex 3D structures requires a system that performs online mapping and mission planning. This paper presents Osprey, an autonomous aerial mapping system with state-of-the-art…