Detection of Static and Dynamic Obstacles Based on Fuzzy Data Association with Laser Scanner

Abstract

Aimed at the detection of static and dynamic obstacles in environmental mapping of mobile robot, an unsupervised clustering algorithm is presented to realize feature extraction of obstacles based on the analysis of ranging data obtained from 2D laser scanner. Considering the unknown clustering number in advance, the validation index function is introduced… (More)
DOI: 10.1109/FSKD.2007.248

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Cite this paper

@article{Yu2007DetectionOS, title={Detection of Static and Dynamic Obstacles Based on Fuzzy Data Association with Laser Scanner}, author={Jinxia Yu and Zixing Cai and Zhuohua Duan}, journal={Fourth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2007)}, year={2007}, volume={4}, pages={172-176} }