Visual and laser sensory data fusion for outdoor robot localisation and navigation

S. Pagnottelli, S. Taraglio, P. Valigi, A. Zanela
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引用次数: 17

Abstract

An architecture for robot localization and navigation performing fusion among odometry, laser range data and range from a neural stereoscopic vision system is presented. The estimate robot position is used to safely navigate through the environment. The stereoscopic sub system delivers dense information in the entire field of view. This feature allows a safer navigation of the robot, since, for example, arch-like obstacles may be avoided. Experimental results are presented concerning localization and obstacle detection. The precision attained by the system allows safe navigation. The use of visual data is of great importance in many operative scenarios
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户外机器人定位与导航的视觉与激光传感数据融合
提出了一种融合里程测量、激光距离数据和神经立体视觉距离数据的机器人定位导航体系结构。估计的机器人位置用于安全导航通过环境。立体子系统在整个视野范围内提供密集的信息。这个功能可以让机器人更安全的导航,因为,例如,拱形的障碍物可以避免。给出了定位和障碍物检测的实验结果。该系统所达到的精度保证了安全航行。视觉数据的使用在许多手术场景中是非常重要的
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