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26 March 1986 Knowledge Acquisition For Autonomous Navigation
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Proceedings Volume 0635, Applications of Artificial Intelligence III; (1986) https://doi.org/10.1117/12.964170
Event: 1986 Technical Symposium Southeast, 1986, Orlando, United States
Abstract
The design of a robotic vehicle requires a unique knowledge of the world in which the vehicle is to operate. This paper investigates the potential of a knowledge acquisition system for such a vehicle, based on a scanning laser radar sensor system that can provide 3-D surface descriptions of the surveyed terrain simultaneously with an active reflectance image of the scene. The advantages and disadvantages of this sensor are explored along with algorithms for efficiently extracting the type of knowledge required to control a robotic vehicle. Specifically the output of this knowledge acquisition system must consist of the location and extent of the road, the presence, size and location of any obstacles, and the location of road intersections, all in real time. Based on this knowledge of the scene, a desired local path can be planned for the robotic vehicle.
© (1986) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Francis B. Hoogterp and Steven A. Caito "Knowledge Acquisition For Autonomous Navigation", Proc. SPIE 0635, Applications of Artificial Intelligence III, (26 March 1986); https://doi.org/10.1117/12.964170
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