A Road Following Approach Using Artificial Neural Networks Combinations

Autor(es)

Shinzato, Patrick Yuri ^[1] ; Wolf, Denis Fernando ^[1]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Inst Math & Comp Sci, Sao Carlos, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS; v. 62, n. 3-4, p. 527-546, JUN 2011.
• Citações Web of Science: 13

Resumo

Navigation is a broad topic that has been receiving considerable attention from the mobile robotic community over the years. In order to execute autonomous driving in outdoor urban environments it is necessary to identify parts of the terrain that can be traversed and parts that should be avoided. This paper describes an analyses of terrain identification based on different visual information using a MLP artificial neural network and combining responses of many classifiers. Experimental tests using a vehicle and a video camera have been conducted in real scenarios to evaluate the proposed approach. (AU)

• Processo FAPESP: 08/57870-9 - Instituto de Sistemas Embarcados Críticos (ISEC)
• Beneficiário: Jose Carlos Maldonado
• Modalidade de apoio: Auxílio à Pesquisa - Temático