DocumentCode :
2468146
Title :
Path recognition for outdoor navigation using artificial neural networks: Case study
Author :
Shinzato, Patrick Y. ; Fernandes, Leandro C. ; Osorio, Fernando S. ; Wolf, Denis F.
Author_Institution :
Mobile Robot. Lab., Univ. of Sao Paulo, Sao Carlos, Brazil
fYear :
2010
fDate :
14-17 March 2010
Firstpage :
1457
Lastpage :
1462
Abstract :
Navigation is a broad topic that has been receiving considerable attention from the mobile robotic community. In order to execute a safe navigation on outdoors it is necessary to identify parts of the terrain that can be traversed by the robot and parts that should be avoided. This paper describes an analyses of an image-based terrain identification based on different visual information using a multi-layer perceptron neural network. Experimental tests using an outdoor robot and a video camera have been conducted in real scenarios to evaluate the proposed methods.
Keywords :
image recognition; mobile robots; multilayer perceptrons; navigation; neurocontrollers; path planning; robot vision; safety; video signal processing; artificial neural networks; image-based terrain identification; mobile robotic; multilayer perceptron neural network; outdoor navigation safety; outdoor robot; path recognition; video camera; Artificial neural networks; Image analysis; Information analysis; Mobile robots; Multi-layer neural network; Multilayer perceptrons; Navigation; Neural networks; Robot vision systems; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology (ICIT), 2010 IEEE International Conference on
Conference_Location :
Vi a del Mar
Print_ISBN :
978-1-4244-5695-6
Electronic_ISBN :
978-1-4244-5696-3
Type :
conf
DOI :
10.1109/ICIT.2010.5472489
Filename :
5472489
Link To Document :
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