使用里程表和房屋角落位置信息的基于视觉的室内自动驾驶车辆导航

Kai-Li Chiang, Wen-Hsiang Tsai
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引用次数: 2

摘要

针对室内环境下基于视觉的车辆导航,提出了一种基于里程表和房屋角落位置信息的车辆导航方法。一辆具有无线控制和图像抓取能力的小型车辆被用作测试平台。车辆上配备了具有大变焦能力的照相机。车辆被引导沿着一条由预先学习的节点组成的路径行驶,这些节点包括里程表提供的行驶距离和转弯角度信息。提出了一种利用屋角估计车辆位置的方法,并利用该方法对车辆位置进行校正,避免了远程导航中机械误差的积累。良好的实验结果表明了该方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vision-Based Autonomous Vehicle Guidance in Indoor Environments Using Odometer and House Corner Location Information
An approach to vehicle guidance using odometer and house corner location information is proposed for visionbased vehicle navigation in indoor environments. A small vehicle with wireless control and image grabbing capabilities is used as a test bed. A camera with the pantilt- zoom capability is equipped on the vehicle. The vehicle is guided to follow a path consisting of nodes learned in advance, which include the information of travel distances and turning angles provided by the odometer. A vehicle location method using house corners is proposed to estimate vehicle location which can be used to correct vehicle location, thus preventing mechanic error accumulation in long-distance navigation. Good experimental results show the feasibility of the proposed approach.
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