Abstract. Air pollution, energy consumption, and human safety
issues have aroused people's concern around the world. This phenomenon could
be significantly alleviated with the development of automatic driving
techniques, artificial intelligence, and computer science. Autonomous
vehicles can be generally modularized as environment perception, path
planning, and trajectory tracking. Trajectory tracking is a fundamental part
of autonomous vehicles which controls the autonomous vehicles effectively
and stably to track the reference trajectory that is predetermined by the
path planning module. In this paper, a review of the state-of-the-art trajectory
tracking of autonomous vehicles is presented. Both the trajectory tracking
methods and the most commonly used trajectory tracking controllers of
autonomous vehicles, besides state-of-art research studies of these controllers,
are described.
Review article: State-of-the-art trajectory tracking of autonomous vehicles
