Road edge and obstacle detection on the SmartGuard navigation system

Li Li, Binhai Wang, Haipeng Wang, Jingjing Zhang, Yiqing Luan, Wanguo Wang, Rui Guo
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引用次数: 5

Abstract

This paper discusses an application of the IPM (inverse perspective mapping) geometrical transform on the inspection power robot (SmartGuard). The SmartGuard is an autonomous robotic system for inspection substation equipment instead of people. Based on the stereo vision system, we proposed a Vision base road edge and obstacle detection system. Firstly, we construct the IPM( Inverse perspective mapping) structure from the vision system structure and the road plane in the substation. Secondly, make the monocular image transform of IPM, and get the edge of the road based on the line detection. Thirdly, do the stereo images IPM, based the transformed images, detect the different of the stereo remapping images to get the probable obstacle. Continues, we give a hypothesis testing obstacle detection approach to make the obstacle information more exactly. At last, we make the 2D map both the road edge and obstacle which could provide enough information for the robot navigation in the substation.
SmartGuard导航系统的道路边缘和障碍物检测
本文讨论了逆透视映射几何变换在巡检机器人SmartGuard上的应用。SmartGuard是一种自动机器人系统,用于代替人工检查变电站设备。基于立体视觉系统,提出了一种基于视觉的道路边缘和障碍物检测系统。首先,从视觉系统结构和变电站道路平面出发,构建了IPM(Inverse perspective mapping)结构。其次,对单眼图像进行IPM变换,在线检测的基础上得到道路边缘;第三,对立体图像进行IPM,基于变换后的图像,检测立体重映射图像的差异,得到可能的障碍物;接着,我们给出了一种假设检验障碍检测方法,使障碍信息更加准确。最后,制作了道路边缘和障碍物的二维地图,为机器人在变电站内导航提供了足够的信息。
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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