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18 January 2019 Research on obstacle detection and location of indoor robot based on LIDAR
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Proceedings Volume 10839, 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment; 108390P (2019) https://doi.org/10.1117/12.2504952
Event: Ninth International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT2018), 2018, Chengdu, China
Abstract
Obstacle detection and location are the key points of path planning and autonomous walking of indoor robot. Laser radar is one of the best sensors for robot to perceive the external environment. In this paper, we studies single-line laser radar to acquire point cloud data, establishes a 2D indoor environment map and achieves the location of indoor robot. And we establish a new point cloud data clustering model which is based on adaptive threshold to detect obstacle on the path. The experiment is based on single-line laser radar, and we have established an experimental system for laser detection of obstacles in indoor robots. The experimental results of scanning and imaging typical indoor scenes show that obstacles can be correctly identified by the above algorithms. Therefore, an effective method has been explored for the obstacle detection and location of indoor robots based on radar.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ailing Zou, Jiancheng Lai, Zhenhua Li, Chunyong Wang, Wei Yan, and Yunjing Ji "Research on obstacle detection and location of indoor robot based on LIDAR", Proc. SPIE 10839, 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test, Measurement Technology, and Equipment, 108390P (18 January 2019); https://doi.org/10.1117/12.2504952
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