Characterization of a neural network-based trajectory recognition optical sensor for an automated guided vehicle

G. A. Borges, A. M.N. Lima, G. S. Deep

Research output: Contribution to conferencePaperpeer-review

3 Scopus citations

Abstract

Characterization of a relatively simple optical sensor system used for recognition of the desired fixed trajectory for an Automated Guided Vehicle, painted on an industrial shop floor, is described. The optical sensor consists of 14 IR emitter-detector pairs arranged in two columns and is fixed underneath the vehicle chassis. A microcomputer-based test platform for evaluation of the proposed sensor is also described. The sensor performance is evaluated using geometrical algorithms and one based on neural networks, latter giving much better results.

Original languageEnglish
Pages1179-1184
Number of pages6
StatePublished - 1998
Externally publishedYes
EventProceedings of the 1998 IEEE Instrumentation and Measurement Technology Conference, IMTC. Part 1 (of 2) - St.Paul, MN, USA
Duration: 18 May 199821 May 1998

Conference

ConferenceProceedings of the 1998 IEEE Instrumentation and Measurement Technology Conference, IMTC. Part 1 (of 2)
CitySt.Paul, MN, USA
Period18/05/9821/05/98

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