High-Precision Indoor Robot Dynamic Obstacle Detection with Laser and Camera

نویسندگان

چکیده

Indoor robot is a very common robot, and its main navigation method laser SLAM. In the process of detecting dynamic obstacles with SLAM, clustering effect not obvious, accuracy low, real-time performance poor. To solve this problem, sensor fusion lidar monocular camera proposed, which improves position moving obstacles. When processing data, first preprocess then use BDSCAN algorithm to cluster point cloud, finally Kalman filter predict calculate location obstacle. data camera, YOLOv3 used quickly detect target return camera. After obtaining according installation radar map calculated by coordinates If coordinate difference after mapping small, it can be considered that two sensors have detected same target. The result returned display interface. Using method, efficiency indoor robots in been greatly improved.

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ژورنال

عنوان ژورنال: Journal of physics

سال: 2021

ISSN: ['0022-3700', '1747-3721', '0368-3508', '1747-3713']

DOI: https://doi.org/10.1088/1742-6596/1952/2/022006