中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Detection and Tracking of Moving Objects for Indoor Mobile Robots with a Low-Cost Laser Scanner

文献类型:会议论文

作者Liu, Tianyu; Gu, Ye; Sheng, Weihua; Li, Yongqiang; Ou, Yongsheng
出版日期2018
会议日期2018
会议地点Seattle
英文摘要In this work, we present a detection and tracking of moving object (DATMO) system with a low-cost rotary laser range finder. This system is designed for indoor mobile robots. An occlusion and noise detection module is developed for processing laser range finder's data. A cascade classifier is proposed for object detection. Then we transform the local target position into the global map using a prior occupancy grid map. An Extended Kalman Filter is applied for object tracking and error compensation. Our system runs at 8Hz on a Raspberry Pi 3 using a LS01C 2D laser range finder. Indoor human tracking experiments are designed to verify the efficiencies of the algorithms. The presented method was proven to be capable of providing a smooth and accurate target position in a DATMO task.
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源URL[http://ir.siat.ac.cn:8080/handle/172644/13849]  
专题深圳先进技术研究院_集成所
推荐引用方式
GB/T 7714
Liu, Tianyu,Gu, Ye,Sheng, Weihua,et al. Detection and Tracking of Moving Objects for Indoor Mobile Robots with a Low-Cost Laser Scanner[C]. 见:. Seattle. 2018.

入库方式: OAI收割

来源:深圳先进技术研究院

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