J. Christian Gerdes
Chris Gerdes is a Professor of Mechanical Engineering at Stanford University and Director of the Center for Automotive Research at Stanford (CARS). His laboratory studies how cars move, how humans drive cars and how to design future cars that work cooperatively with the driver or drive themselves. When not teaching on campus, he can often be found at the racetrack with students, instrumenting race cars or trying out their latest prototypes for the future. Professor Gerdes and his team have been recognized with a number of awards including the Presidential Early Career Award for Scientists and Engineers, the Ralph Teetor award from SAE International and the Rudolf Kalman Award from the American Society of Mechanical Engineers.
Industry Experience
Daimler-Benz Research and Technology North America, Senior Research Engineer (1996-1998) Peloton Technology, Founder and Principal Scientist (2011-2016). Board Member (2017-present)
Government Experience
United States Department of Transportation, Chief Innovation Officer (2016-2017)
Publications
Towards Automated Vehicle Control Beyond the Stability Limits: Drifting Along a General Path
From the Racetrack to the Road: Real-time Trajectory Replanning for Autonomous Driving
A Controller for Automated Drifting Along Complex Trajectories
Speed Control for Robust Path-Tracking for Automated Vehicles at the Tire-Road Friction Limit
Vehicle control synthesis using phase portraits of planar dynamics
Mind Over Motor Mapping: Driver response to changing vehicle dynamics
Value Sensitive Design for Autonomous Vehicle Motion Planning
Neural, physiological, and behavioral correlates of visuomotor cognitive load using functional NIRS
Path-Tracking for Autonomous Vehicles at the Limit of Friction
A Synthetic Input Approach to Slip Angle Based Steering Control for Autonomous Vehicles
Insights into vehicle trajectories at the handling limits: analysing open data from race car drivers
Motor learning affects car-to-driver handover in automated vehicles
Incorporating Ethical Considerations Into Automated Vehicle Control
Simultaneous Stabilization and Tracking of Basic Automobile Drifting Trajectories
A Sequential Two-Step Algorithm for Fast Generation of Vehicle Racing Trajectories
Prescriptive and proscriptive moral regulation for autonomous vehicles in approach and avoidance
Implementable Ethics for Autonomous Vehicles (2016)
Safe driving envelopes for path tracking in autonomous vehicles
Design of Variable Vehicle Handling Characteristics Using Four-Wheel Steer-by-Wire
A Sequential Two-step Algorithm for Fast Generation of Vehicle Racing Trajectories
Path Tracking of Highly Dynamic Autonomous Vehicle Trajectories via Iterative Learning Control
Autonomous Vehicle Control for Emergency Maneuvers: The Effect of Topography
Optimal tire force allocation for trajectory tracking with an over-actuated vehicle
Implementable Ethics for Autonomous Vehicles (2015)
The virtual wheel concept for supportive steering feedback during active steering interventions
An autonomous lanekeeping system for vehicle path tracking and stability at the limits of handling
A Controller Framework for Autonomous Drifting: Design, Stability, and Experimental Validation
Designing Steering Feel for Steer-by-Wire Vehicles Using Objective Measures
Incorporating non-linear tire dynamics into a convex approach to shared steering control
Low friction emulation of lateral vehicle dynamics using four-wheel steer-by-wire
Hybrid Model Predictive Control of Exhaust Recompression HCCI