Author: Haotian Cao, Hunan University, China
Mingjun Li, Hunan University, China
Song Zhao, University of Waterloo, Canada
Xiaolin Song, Hunan University, China
Keywords: intelligent vehicle, decision making, path planning, speed planning, robust trajectory tracking control, driving intention, human-automation cooperative driving, deep Q-learning, driving hazard potential, convex optimization, dynamical game theory
Abstract: The intelligent vehicle will play a crucial and essential role in the development of the future intelligent transportation system, which is developing toward the connected driving environment, ultimate driving safety, and comforts, as well as green efficiency. While the decision making, planning, and control are extremely vital components of the intelligent vehicle, these modules act as a bridge, connecting the subsystem of the environmental perception and the bottom-level control execution of the vehicle as well. This short book covers various strategies of designing the decision making, trajectory planning, and tracking control, as well as share driving, of the human-automation to adapt to different levels of the automated driving system.