@inproceedings{9d279c13ca5d4f43a82784681278a266,
title = "The automated lane-keeping design for an intelligent vehicle",
abstract = "In this paper, a vision-based lane-keeping automated steering system is proposed and is successfully verified in our vehicle platform, TAIWAN /TS-1. The proposed steering system can achieve the accurate detection of the complicated road environment information; and more, the closed-loop automated lane-keeping steering system with virtual look-ahead is stable under varying speed operation. Furthermore, to achieve more manlike driving behavior such as smooth tuning, a fuzzy gain schedule technology is proposed to concern with lateral offset and instant-speed of the vehicle, and hence, to compensate the feedback controller for adapting to the steering wheel command appropriately. The proposed steering system is demonstrated via TAIWAN iTS-1 on the standard testing road in Automotive Research and Testing Center (ARTC) and highway road.",
keywords = "Automated lane-keeping, Fuzzy gain scheduling, Intelligent vehicle, Vehicle lateral control, Vision-based",
author = "Wu, {Shinq Jen} and Chiang, {Hsin Han} and Perng, {Jau Woei} and Lee, {Tsu Tian} and Chen, {Chao Jung}",
year = "2005",
language = "English",
isbn = "0780389611",
series = "IEEE Intelligent Vehicles Symposium, Proceedings",
pages = "508--513",
booktitle = "2005 IEEE Intelligent Vehicles Symposium, Proceedings",
note = "2005 IEEE Intelligent Vehicles Symposium ; Conference date: 06-06-2005 Through 08-06-2005",
}