Modelling mobile robot navigation in 3D environments: camera-based stairs recognition in Gazebo

Maksim Mustafin, T. Tsoy, E. Martínez-García, R. Meshcheryakov, E. Magid
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引用次数: 1

Abstract

The task of sensory-based autonomous navigation of mobile robots requires data fusion from multiple sources in order to properly detect and recognize environmental obstacles. One of important issues mobile robots deal in a typical multi-level indoor environment is a stair well detection and negotiation. This paper presents ROS-based stairs detection implementation using onboard cameras of the Russian mobile crawler robot Servosila Engineer. Virtual experiments were performed in Gazebo environment with a single camera and a stereo camera.
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三维环境中移动机器人导航建模:Gazebo中基于摄像头的楼梯识别
基于感知的移动机器人自主导航任务需要多源数据融合才能正确检测和识别环境障碍物。在典型的多层室内环境中,移动机器人处理的一个重要问题是楼梯井的检测和协商。本文介绍了利用俄罗斯移动履带机器人Servosila Engineer的机载摄像机实现基于ros的楼梯检测。采用单摄像机和立体摄像机在凉亭环境下进行虚拟实验。
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