@inproceedings{467b392b017a49c887986765db91924c,
title = "An improved path tracking algorithm for intelligent vehicle in automatic parking conditions",
abstract = "A feedforward and feedback path tracking algorithm appropriate for automatic parking is proposed in this paper. This algorithm is composed of feedforward control and feedback control. In the path tracking, vehicle position and reference path information are used to calculate the lateral and heading error of the vehicle as well as the curvature of reference path. We make these three as the system inputs and the steering angel of the vehicle as the output. The system parameters are determined by multiple tests. Experiments show that, this method has a high performance in path tracking and meets the requirements of vehicle parking in both low speed situation and narrow spaces.",
keywords = "Auto Parking, Autonomous Driving Vehicle, Feedforward and Feedback control, Path Tracking, Pure Pursuit",
author = "Xu, \{Da Lu\} and Gong, \{Jian Wei\} and Yan Jiang and Ning Li and Sun, \{Yin Jian\} and Wang, \{Jin Hang\}",
year = "2014",
doi = "10.4028/www.scientific.net/AMM.571-572.326",
language = "English",
isbn = "9783038351399",
series = "Applied Mechanics and Materials",
publisher = "Trans Tech Publications Ltd.",
pages = "326--330",
booktitle = "Computers and Information Processing Technologies I",
address = "Switzerland",
}