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GPS-based Automatic Driving Control in Local Area with Course of Large Curvature and Parking Space

机译:基于GPS的大曲率停车位区域的自动驾驶控制。

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摘要

Vehicle motion control algorithms for fully automatic driving in a local area are proposed and investigated in this paper. Current automotive technologies for automatic driving have encountered the problems of system reliability, human factors and responsibility of accident. A fully automatic driving system, however, can be realized relatively easily as long as it is operated in a local area such as a campus or a site of an institute. This study is aiming at investigating human factors, system reliability and methodology of system management by operating a fully automatic driving system in the campus. In this paper, experimental studies are carried out for developing such a fully automatic driving system using a precise GPS. Two control algorithms for automatic driving in a local area is proposed. One is control algorithm for tracking a trajectory with small radius of curvature, and the other is that for automatic parking. Experimental results clarified that a controlled vehicle can track a trajectory with curvature of more than 0.2, and can accurately park in a parking space with reverse movement by the proposed control algorithms.
机译:提出并研究了用于局部区域全自动驾驶的车辆运动控制算法。当前用于自动驾驶的汽车技术已经遇到系统可靠性,人为因素和事故责任的问题。但是,只要在诸如校园或研究所的场所之类的本地区域中操作,就可以相对容易地实现全自动驾驶系统。本研究旨在通过在校园内运行全自动驾驶系统来调查人为因素,系统可靠性和系统管理方法。在本文中,进行了使用精密GPS开发这样的全自动驾驶系统的实验研究。提出了两种在局部区域自动驾驶的控制算法。一种是用于跟踪曲率半径较小的轨迹的控制算法,另一种是用于自动停车的算法。实验结果表明,所提出的控制算法可以使受控车辆跟踪曲率大于0.2的轨迹,并且能够以逆向运动准确地停放在停车位中。

著录项

  • 来源
    《Vehicle System Dynamics》 |2004年第2期|p.59-73|共15页
  • 作者单位

    Faculty of Environmental Information, Keio University, 5322, Endo, Fujisawa, Kanagawa 252-8520, Japan;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 汽车工程;
  • 关键词

  • 入库时间 2022-08-17 23:46:39

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