Abstract | ||
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In order to achieve the environmental information for the mobile robots during the autonomous navigation, an intelligent space is built firstly based on the Zigbee wireless sensor network system (WSNS) and the distributed vision system. After the environmental information for the mobile robots is achieved through the vision system in the built intelligent space, on the one hand, the static obstacles are segmented by using the Otsu threshold method and the mathematical morphology, and the environmental map of the mobile robot is built; on the other hand, the position and the direction of the mobile robot is achieved through the background difference, and the vision-based location for the mobile robot is realized. The experimental results of the environmental map building and the mobile robot location verify the validity of the proposed intelligent space and the image processing method for the map building and location. |
Year | DOI | Venue |
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2013 | 10.1007/978-3-642-53932-9_24 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Environmental map building,Vision location,Mobile robot,intelligent space | Computer vision,Machine vision,Mathematical morphology,Computer science,Image processing,Artificial intelligence,Environmental map,Mobile robot,Zigbee wireless sensor networks | Conference |
Volume | ISSN | Citations |
391 | 1865-0929 | 0 |
PageRank | References | Authors |
0.34 | 2 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Y. Shen | 1 | 62 | 6.05 |
Ping Liu | 2 | 0 | 0.34 |
Mingxin Yuan | 3 | 7 | 3.19 |
Shuai Chen | 4 | 7 | 3.56 |
Yafeng Jiang | 5 | 0 | 1.01 |