8 citations · 9 across the 4 of their papers we have counts for
4 papers · 1 filter
DBF-MA: A Differential Bayesian Filtering Planner for Multi-Agent Autonomous Racing Overtakes
Trent Weiss, Amar Kulkarni, Madhur Behl
A significant challenge in autonomous racing is to generate overtaking maneuvers. Racing agents must execute these maneuvers on complex racetracks with little room for error. Optim…
Probabilistic Collision Risk Estimation through Gauss-Legendre Cubature and Non-Homogeneous Poisson Processes
Trent Weiss, Madhur Behl
Overtaking in high-speed autonomous racing demands precise, real-time estimation of collision risk; particularly in wheel-to-wheel scenarios where safety margins are minimal. Exist…
This is the Way: Differential Bayesian Filtering for Agile Trajectory Synthesis
Trent Weiss, Madhur Behl
One of the main challenges in autonomous racing is to design algorithms for motion planning at high speed, and across complex racing courses. End-to-end trajectory synthesis has be…
DeepRacing: Parameterized Trajectories for Autonomous Racing
Trent Weiss, Madhur Behl
We consider the challenging problem of high speed autonomous racing in a realistic Formula One environment. DeepRacing is a novel end-to-end framework, and a virtual testbed for tr…