基于视频图像的远程全方位车辆平台SLAM配置

2020 International Conference on Advanced Robotics and Intelligent Systems (ARIS) Pub Date : 2020-08-01 DOI:10.1109/ARIS50834.2020.9205779

P. I. Chang, Y. Shi, S. C. Fan-Chiang, C. Lan

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引用次数: 1

摘要

本文试图利用三维商业摄像机对机器人车辆平台的局部地图进行完全重建。利用先验知识对周围环境进行全局定位，验证重构后的SLAM。而整个全向车辆是内部设计和制造的，以最大限度地利用系统提供的所有信号。2D定位的映射误差估计为5%，显示出这种方法的前景。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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SLAM Configuration from Video Images for Remote Omni-direction Vehicle Platform

This paper attempts to fully reconstruct a local mapping for robotic vehicle platforms, by use of 3D commercial camera. The reconstructed SLAM is verified by the global positioning of the surrounding with a-priori knowledge. While the whole omni-directional vehicle is designed and built in-house to maximize utility of all the signals available from the system. The mapping error for 2D for localization is estimated at 5% showing promise for this approach.

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2020 International Conference on Advanced Robotics and Intelligent Systems (ARIS)

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