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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

A Road Following Approach Using Artificial Neural Networks Combinations

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Author(s):
Shinzato, Patrick Yuri [1] ; Wolf, Denis Fernando [1]
Total Authors: 2
Affiliation:
[1] Univ Sao Paulo, Inst Math & Comp Sci, Sao Carlos, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS; v. 62, n. 3-4, p. 527-546, JUN 2011.
Web of Science Citations: 13
Abstract

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)

FAPESP's process: 08/57870-9 - Critical Embedded Systems Institute
Grantee:Jose Carlos Maldonado
Support Opportunities: Research Projects - Thematic Grants