15 November 2007 Robot map building based on fuzzy-extending DSmT
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Proceedings Volume 6787, MIPPR 2007: Multispectral Image Processing; 67870Y (2007) https://doi.org/10.1117/12.748884
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China
With the extensive application of mobile robots in many different fields, map building in unknown environments has been one of the principal issues in the field of intelligent mobile robot. However, Information acquired in map building presents characteristics of uncertainty, imprecision and even high conflict, especially in the course of building grid map using sonar sensors. In this paper, we extended DSmT with Fuzzy theory by considering the different fuzzy T-norm operators (such as Algebraic Product operator, Bounded Product operator, Einstein Product operator and Default minimum operator), in order to develop a more general and flexible combinational rule for more extensive application. At the same time, we apply fuzzy-extended DSmT to mobile robot map building with the help of new self-localization method based on neighboring field appearance matching( -NFAM), to make the new tool more robust in very complex environment. An experiment is conducted to reconstruct the map with the new tool in indoor environment, in order to compare their performances in map building with four T-norm operators, when Pioneer II mobile robot runs along the same trace. Finally, a conclusion is reached that this study develops a new idea to extend DSmT, also provides a new approach for autonomous navigation of mobile robot, and provides a human-computer interactive interface to manage and manipulate the robot remotely.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xinde Li, Xinhan Huang, Zuyu Wu, Youlun Xiong, "Robot map building based on fuzzy-extending DSmT", Proc. SPIE 6787, MIPPR 2007: Multispectral Image Processing, 67870Y (15 November 2007); doi: 10.1117/12.748884; https://doi.org/10.1117/12.748884


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