Characterization of a trajectory recognition optical sensor for an automated guided vehicle

Geovany Araújo Borges; Antonio Marcus Nogueira Lima; Gurdip Singh Deep

doi:10.1109/19.863930

Characterization of a trajectory recognition optical sensor for an automated guided vehicle

Geovany Araújo Borges, Antonio Marcus Nogueira Lima, Gurdip Singh Deep

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

Characterization of a relatively simple optical sensor used for recognition of the desired fixed trajectory for an automated guided vehicle (AGV), painted on an industrial shop floor, is described. The optical sensor consists of 14 infrared (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 two geometrical algorithms and one based on neural networks, with the latter giving better results.

Original language	English
Pages (from-to)	813-819
Number of pages	7
Journal	IEEE Transactions on Instrumentation and Measurement
Volume	49
Issue number	4
DOIs	https://doi.org/10.1109/19.863930
State	Published - Aug 2000
Externally published	Yes

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10.1109/19.863930

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abstract = "Characterization of a relatively simple optical sensor used for recognition of the desired fixed trajectory for an automated guided vehicle (AGV), painted on an industrial shop floor, is described. The optical sensor consists of 14 infrared (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 two geometrical algorithms and one based on neural networks, with the latter giving better results.",

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Characterization of a trajectory recognition optical sensor for an automated guided vehicle

Abstract

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