Title
Stochastic model predictive controller with chance constraints for comfortable and safe driving behavior of autonomous vehicles
Abstract
In this paper, we address the application of stochastic model predictive control with chance constraints to autonomous driving. We use a condensed formulation of a linearized vehicle model to setup a quadratic program with nonlinear chance constraints, which can be solved with off-the-shelf optimization algorithms. We further show how obstacle information in the path planning stage can be converted into a set of linear state constraints that can be directly used in the control algorithm. The resulting controller is potentially real-time capable and achieves a tradeoff between safety and comfort in its control behavior.
Year
DOI
Venue
2015
10.1109/IVS.2015.7225701
2015 IEEE Intelligent Vehicles Symposium (IV)
Keywords
Field
DocType
stochastic model predictive controller,chance constraint,driving behavior,autonomous vehicle,autonomous driving,condensed formulation,linearized vehicle model,quadratic program,off-the-shelf optimization algorithm,obstacle information,path planning stage,linear state constraint,control algorithm
Motion planning,Control algorithm,Obstacle,Control theory,Mathematical optimization,Nonlinear system,Control theory,Stochastic modelling,Optimization algorithm,Quadratic programming,Engineering
Conference
ISSN
Citations 
PageRank 
1931-0587
4
0.42
References 
Authors
14
3
Name
Order
Citations
PageRank
David Lenz171.83
tobias kessler241.44
Alois Knoll Knoll31700271.32