Title
Toward integrated motion planning and control using potential fields and torque-based steering actuation for autonomous driving
Abstract
This paper proposes an integrated motion planning and control approach for autonomous car navigation. Existing approaches to autonomous vehicle navigation typically plan a trajectory and pass it on to a steering controller that commands steering wheel angle (SWA) or curvature at every timestep to minimize tracking error. However, this approach exhibits large amounts of control effort, and ignores other criteria such as smoothness or the importance of staying on plan at different times. Conversely, our proposed approach leverages the concept of potential fields to represent a driving corridor with a desired tracking error tolerance and direct torque-based steering control to smoothly steer the vehicle with a much smaller control effort. Further, using potential fields allows us to naturally incorporate obstacles in the driving corridor to circumvent them, with typically no need for explicit trajectory planning. We compare our approach to a standard steering controller in experiments with a real-world autonomous vehicle platform. Results show that our proposed approach achieves similar path tracking performance as a high-gain SWA controller, but with much less actuator effort.
Year
DOI
Venue
2015
10.1109/IVS.2015.7225703
2015 IEEE Intelligent Vehicles Symposium (IV)
Keywords
Field
DocType
potential field,torque-based steering actuation,autonomous driving,integrated motion planning and control,autonomous car navigation,autonomous vehicle navigation,steering controller,steering wheel angle,control effort,tracking error tolerance,direct torque-based steering control,trajectory planning,real-world autonomous vehicle platform,path tracking performance,high-gain SWA controller
Motion planning,Control theory,Torque,Control theory,Steering wheel,Control engineering,Engineering,Smoothness,Trajectory,Actuator,Tracking error
Conference
ISSN
Citations 
PageRank 
1931-0587
2
0.45
References 
Authors
14
3
Name
Order
Citations
PageRank
Enric Galceran123613.50
Ryan M. Eustice2122083.69
Edwin Olson395365.24