Method and system for determining road frictions of autonomous driving vehicles using learning-based model predictive control

作者: Zhu Fan , Kong Qi , Yang Guang , Luo Qi , Zhu Zhenguang

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摘要: In one embodiment, planning data is received, for example, from a module, to drive an autonomous driving vehicle (ADV) starting location and destination location. response, series of control commands are generated based on the data, where be applied at different points in time A cost calculated by applying function commands, first road friction estimated current trip, second during prior trip The using view termination such that reaches minimum.

参考文章(17)
Erik Coelingh, Marcus Nils Gunnar Rothoff, Anders Tylman-Mikiewicz, Per Rodjer, Douglas Hall Frasher, Jonas Soderqvist, Jesper Andreasson, Apparatus and method for prediction of time available for autonomous driving, in a vehicle having autonomous driving capabilities ,(2015)
Nathaniel Fairfield, Dmitri A. Dolgov, Andreas Wendel, Jens-Steffen Ralf Gutmann, Donald Jason Burnette, Traffic signal response for autonomous vehicles ,(2014)
Xiaodong Lan, Stefano Di Cairano, System and Method for Controlling Semi-Autonomous Vehicles ,(2015)
Jinesh J. Jain, Daniel Levine, Formulating lane level routing plans ,(2015)
Ilya Blayvas, Ron Fridental, Shengwei Da, Systems and Methods for Autonomous Vehicle Navigation ,(2015)
Jon Andersson, Tom Nyström, Joseph Ah-King, Control system for autonomous vehicles, and a method for the control system ,(2014)