John Subosits, Mechanical Engineering graduate student, works to model the stability and performance limits of vehicles more aggressively and accurately. He started by improving the ability of autonomous cars to drive at the friction limits on roads with significant topography, but has since turned his attention to control strategies for safely operating at the limits while positioning the car very precisely. This work is tested at Thunderhill Raceway using the lab's autonomous race car to measure how close we are to exceeding the performance of the best human drivers, professional racers. We believe an autonomous car should have the ability to avoid collisions whenever physically possible.
From the Racetrack to the Road: Real-time Trajectory Replanning for Autonomous Driving
A Synthetic Input Approach to Slip Angle Based Steering Control for Autonomous Vehicles
A Sequential Two-Step Algorithm for Fast Generation of Vehicle Racing Trajectories
A Sequential Two-step Algorithm for Fast Generation of Vehicle Racing Trajectories
Autonomous Vehicle Control for Emergency Maneuvers: The Effect of Topography