Tootfinder

DRCP: Diffusion on Reinforced Cooperative Perception for Perceiving Beyond Limits
Lantao Li, Kang Yang, Rui Song, Chen Sun
https://arxiv.org/abs/2509.24903 https://

DRCP: Diffusion on Reinforced Cooperative Perception for Perceiving Beyond Limits
Cooperative perception enabled by Vehicle-to-Everything communication has shown great promise in enhancing situational awareness for autonomous vehicles and other mobile robotic platforms. Despite recent advances in perception backbones and multi-agent fusion, real-world deployments remain challenged by hard detection cases, exemplified by partial detections and noise accumulation which limit downstream detection accuracy. This work presents Diffusion on Reinforced Cooperative Perception (DRCP)…

British electric vehicle innovator Bedeo partners with Monarch Defender to bring the world's first Land Rover Defender EV retrofit to the U.S., delivering 483 horsepower and up to 153 miles of range with a 75 kWh battery. #climatechange #climatesolutions

Company sparks buzz with high-tech upgrade to iconic off-road vehicle: 'Great design'
British electric vehicle innovator Bedeo has partnered with Iowa-based Monarch Defender to bring the world’s first Land Rover Defender EV retrofit powered by in-wheel motors to the U.S.

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…

Towards solving industrial integer linear programs with Decoded Quantum Interferometry
Francesc Sabater, Ouns El Harzli, Geert-Jan Besjes, Marvin Erdmann, Johannes Klepsch, Jonas Hiltrop, Jean-Francois Bobier, Yudong Cao, Carlos A. Riofrio
https://arxiv.org/abs/2509.08328

Towards solving industrial integer linear programs with Decoded Quantum Interferometry
Optimization via decoded quantum interferometry (DQI) has recently gained a great deal of attention as a promising avenue for solving optimization problems using quantum computers. In this paper, we apply DQI to an industrial optimization problem in the automotive industry: the vehicle option-package pricing problem. Our main contributions are 1) formulating the industrial problem as an integer linear program (ILP), 2) converting the ILP into instances of max-XORSAT, and 3) developing a detaile…