5 April 1985 Knowledge-Based Route Planning Through Natural Terrain
Author Affiliations +
Proceedings Volume 0548, Applications of Artificial Intelligence II; (1985); doi: 10.1117/12.948415
Event: 1985 Technical Symposium East, 1985, Arlington, United States
The advent of advanced computer architectures for parallel and symbolic processing has evolved to the point where the technology currently exists for the development of prototype autonomous vehicles. Control of such devices will require communication between knowledge-based subsystems in charge of the vision, planning, and conflict resolution aspects necessary to make autonomous vehicles functional in a real world environment. This paper describes a heuristic route planning system capable of forming the planning foundation of a autonomous ground vehicle. The route planner described herein is applicable to a variety of natural terrain ground systems such as autonomous tactical vehicles and mobile robot sentries. The route planner discussed consists of four processing stages: (1) scene recognition, (2) route planning, (3) scene matching (4) knowledge-based validation. Each of these stages is discussed and examples are provided where appropriate.
© (1985) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John F. Gilmore, Antonio C. Semeco, Pipat Eamsherangkoon, "Knowledge-Based Route Planning Through Natural Terrain", Proc. SPIE 0548, Applications of Artificial Intelligence II, (5 April 1985); doi: 10.1117/12.948415; https://doi.org/10.1117/12.948415

Artificial intelligence

Evolutionary algorithms

Scene classification

Detection and tracking algorithms


Mobile robots

Image processing


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