3 papers
eess.SY2024
Neural Network Tire Force Modeling for Automated Drifting
Nicholas Drake Broadbent, Trey Weber, Daiki Mori +1
Automated drifting presents a challenge problem for vehicle control, requiring models and control algorithms that can precisely handle nonlinear, coupled tire forces at the frictio…
eess.SY2024
Trajectory Planning Using Tire Thermodynamics for Automated Drifting
Takao Kobayashi, Trey P. Weber, J. Christian Gerdes
Automated vehicles need to estimate tire-road friction information, as it plays a key role in safe trajectory planning and vehicle dynamics control. Notably, friction is not solely…
cs.RO2020
On Infusing Reachability-Based Safety Assurance within Planning Frameworks for Human-Robot Vehicle Interactions
Karen Leung, Edward Schmerling, Mengxuan Zhang +4
Action anticipation, intent prediction, and proactive behavior are all desirable characteristics for autonomous driving policies in interactive scenarios. Paramount, however, is en…