D–S Evidence Theory and its Application in Robot Information Fusion

Yu Sheng Sun; Cai Ling Zheng; Ping Ma

doi:10.4028/www.scientific.net/AMR.219-220.799

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 219-220D–S Evidence Theory and its Application in Robot...

D–S Evidence Theory and its Application in Robot Information Fusion

Abstract:

Multisensor information fusion is wildly treasured and used in the mobile robot field.This thesis describes D–S evidence theory about photoelectric encoder,laser sensors and CCD camera.Because D-S evidence theory allows the existence of uncertainty, we may obtain the event probability according to experience.As a result,it is easier to promote the application.Therefore robot can do autonomous navigation and obstacle aviodance in unknown non-structure environment safely. If the system increased other sensors in the future perfect process,we can also adopt this approach to integration. The experiment results show that the improved D–S evidence theory can eliminate the noise interference,handle signals smoothly and improve the system control precision.

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Periodical:

Advanced Materials Research (Volumes 219-220)

Pages:

799-803

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.219-220.799

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Online since:

March 2011

Authors:

Yu Sheng Sun, Cai Ling Zheng, Ping Ma

Keywords:

Autonomous Navigation, D-S Evidence Theory, Information Fusion, Mobile Robot

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