Characterization of a neural network-based trajectory recognition optical sensor for an automated guided vehicle
Geovany A. Borges, Antonio M. N. Lima, G.S. Deep · 2002
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, the latter giving much better results.