3 papers
cs.CV2026
SimBEV2X: A Large-Scale Dataset and Data Generation Tool for Multi-Task Vehicle-to-Everything Cooperative Perception
Goodarz Mehr, Sepideh Gohari, Montasir Abbas +1
Cooperative perception through vehicle-to-everything (V2X) communication can overcome the inherent physical limitations of individual autonomous vehicles, such as occlusions and li…
cs.RO2026
Autonomous Vehicle Collision Avoidance With Racing Parameterized Deep Reinforcement Learning
Shathushan Sivashangaran, Vihaan Dutta, Apoorva Khairnar +2
Road traffic accidents are a leading cause of fatalities worldwide. In the US, human error causes 94% of crashes, resulting in excess of 7,000 pedestrian fatalities and $500 billio…
cs.RO2026
Physics-Informed Reinforcement Learning of Spatial Density Velocity Potentials for Map-Free Racing
Shathushan Sivashangaran, Apoorva Khairnar, Sepideh Gohari +2
Autonomous racing without prebuilt maps is a grand challenge for embedded robotics that requires kinodynamic planning from instantaneous sensor data at the acceleration and tire fr…