This paper examines the use of perception systems which can alsobe used to obtain images of the environment. This technique may betedious if on a regular basis temporary obstacles are placed along thepath of a vehicle. Therefore it is important to determine the path forthe vehicle using an off-line technique. Computer aided draftingpackages offer an interesting solution to this problem. It is possibleto generate path data directly from the output format of a drawing fileand use this to generate suitable training data for the vehicleoff-line. The neural network weights can then be determined anddownloaded to the vehicle. Finally the paper examines multi-vehicleenvironments, which will become more commonplace. Both track followingand perception based vehicles also suffer the fact that they must avoidother vehicles and use complex proximity sensor systems in order toavoid each other. Using elementary communications and data generatedfrom a CAD system it is possible to develop anti-collision algorithmswhich inform vehicles when to start and stop
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