The automated lane-keeping design for an intelligent vehicle

被引:0
|
作者
Wu, SJ [1 ]
Chiang, HH [1 ]
Perng, JW [1 ]
Lee, TT [1 ]
Chen, CJ [1 ]
机构
[1] Da Yeh Univ, Dept Elect Engn, Changhua, Taiwan
来源
2005 IEEE Intelligent Vehicles Symposium Proceedings | 2005年
关键词
intelligent vehicle; automated lane-keeping; vehicle lateral control; vision-based; fuzzy gain scheduling;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, a vision-based lane-keeping automated steering system is proposed and is successfully verified in our vehicle platform, TAIWAN iTS-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.
引用
收藏
页码:508 / 513
页数:6
相关论文
共 50 条
  • [41] Personalized Ground Vehicle Lane-Keeping Assist System Design: An Adaptive Sliding Mode Control Formulation With L1+α Reachability
    Zhou, Xingyu
    Shen, Heran
    Wang, Zejiang
    Ahn, Hyunjin
    Kung, Yung-Chi
    Wang, Junmin
    IFAC PAPERSONLINE, 2023, 56 (03): : 361 - 366
  • [42] Indirect and direct training of spiking neural networks for end-to-end control of a lane-keeping vehicle
    Bing, Zhenshan
    Meschede, Claus
    Chen, Guang
    Knoll, Alois
    Huang, Kai
    NEURAL NETWORKS, 2020, 121 : 21 - 36
  • [43] An embedded real-time automatic lane-keeping system
    Vitabile, Salvatore
    Bono, Salvatore
    Sorbello, Filippo
    KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS: KES 2007 - WIRN 2007, PT I, PROCEEDINGS, 2007, 4692 : 647 - +
  • [44] Lane Keeping of Intelligent Vehicle under Crosswind Based on Visual Navigation
    Li, Zeng
    Cui, Gaojian
    Li, Shaosong
    Wu, Xiaodong
    Li, Zheng
    2018 5TH INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING (ICISCE 2018), 2018, : 290 - 294
  • [45] V2V-Based Vehicle Risk Assessment and Control for Lane-Keeping and Collision Avoidance
    Fahmy, Hazem M.
    Baumann, Gerd
    Abd El Ghany, Mohamed A.
    Mostafa, Hassan
    2017 29TH INTERNATIONAL CONFERENCE ON MICROELECTRONICS (ICM), 2017, : 61 - 65
  • [46] An Advanced Lane-Keeping Assistance System With Switchable Assistance Modes
    Bian, Yougang
    Ding, Jieyun
    Hu, Manjiang
    Xu, Qing
    Wang, Jianqiang
    Li, Keqiang
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 21 (01) : 385 - 396
  • [47] A driver-distraction-based lane-keeping assistance system
    Pohl, J.
    Birk, W.
    Westervall, L.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2007, 221 (I4) : 541 - 552
  • [48] Identification of driver state for lane-keeping tasks: Experimental results
    Pilutti, T
    Ulsoy, AG
    PROCEEDINGS OF THE 1997 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 1997, : 3370 - 3374
  • [49] Stability Analysis of a Hierarchical Lane-keeping Controller with Feedback Delay
    Voros, Illes
    Takacs, Denes
    IFAC PAPERSONLINE, 2022, 55 (36): : 300 - 305
  • [50] Comparison of Rectangular and Elliptical Alert Limits for Lane-Keeping Applications
    Kigotho, Olivier N.
    Rife, Jason H.
    PROCEEDINGS OF THE 34TH INTERNATIONAL TECHNICAL MEETING OF THE SATELLITE DIVISION OF THE INSTITUTE OF NAVIGATION (ION GNSS+ 2021), 2021, : 93 - 104