首页> 外文学位 >Autonomous landing and road following using two-dimensional visual cues.
【24h】

Autonomous landing and road following using two-dimensional visual cues.

机译:使用二维视觉提示进行自主着陆和跟踪。

获取原文
获取原文并翻译 | 示例

摘要

This dissertation deals with vision-based perception-action closed-loop control systems based on 2-D visual cues. These visual cues are used to calculate the relevant control signals required for autonomous landing and road following.; In the landing tasks it has been shown that nine 2-D visual cues can be extracted from a single image of the runway. Seven of these cues can be used to accomplish parallel flight and glideslope tracking tasks of the landing. For the road following task, three different algorithms based on two different 2-D visual cues are developed. One of the road following algorithms can be used to generate steering and velocity commands for the vehicle.; Glideslope tracking of the landing task has been implemented in real-time on a six-degree-of-freedom flight simulator. It has been shown that the relevant information computed from 2-D visual cues is robust and reliable for the landing tasks. Road following algorithms were tested successfully up to 50km/h on a US Army High Mobility and Multipurpose Wheeled Vehicle (HMMWV) equipped with a vision system and on a Denning mobile robot. The algorithms have also been tested successfully using PC-based software simulation programs.
机译:本文研究了基于视觉的基于二维视觉线索的感知动作闭环控制系统。这些视觉提示用于计算自主着陆和道路跟踪所需的相关控制信号。在着陆任务中,已显示可以从跑道的单个图像中提取九个2-D视觉提示。这些提示中的七个可以用于完成着陆的平行飞行和滑坡跟踪任务。对于道路跟踪任务,基于两种不同的2D视觉提示,开发了三种不同的算法。道路跟踪算法之一可用于生成车辆的转向和速度命令。降落任务的滑坡跟踪已在六自由度飞行模拟器上实时实施。已经表明,从2-D视觉线索计算出的相关信息对于着陆任务是鲁棒且可靠的。在配备视觉系统的美国陆军高机动多用途轮式车辆(HMMWV)和Denning移动机器人上,以高达50 km / h的速度成功测试了道路跟踪算法。使用基于PC的软件仿真程序也已成功测试了算法。

著录项

  • 作者

    Yakali, Huseyin Hakan.;

  • 作者单位

    Florida Atlantic University.;

  • 授予单位 Florida Atlantic University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 1994
  • 页码 267 p.
  • 总页数 267
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号