Terrain Mapping With MMW Radar: An Approach Using Sensor Fusion And Knowledge-Based Heuristics

Miao-Li Pai; James C. Bezdek; Robert L. Cannon; William L. Cameron

doi:10.1117/12.937809

25 February 1987 Terrain Mapping With MMW Radar: An Approach Using Sensor Fusion And Knowledge-Based Heuristics

Miao-Li Pai, James C. Bezdek, Robert L. Cannon, William L. Cameron

Proceedings Volume 0727, Mobile Robots I; (1987) https://doi.org/10.1117/12.937809
Event: Cambridge Symposium_Intelligent Robotics Systems, 1986, Cambridge, MA, United States

Abstract

In this note we describe an architecture that integrates low-level processing of MMW radar data; intermediate-level processing based on contextual heuristics; and high-level processing driven by domain knowledge. The overall system objectives are to identify roadlike structures in the illuminated scene; and to match them to a world knowledge model to complete the estimated view of local terrain. The proposed system has applications in autonomous vehicle navigation and emer-gency landing situations.

Citation Download Citation

Miao-Li Pai, James C. Bezdek, Robert L. Cannon, and William L. Cameron "Terrain Mapping With MMW Radar: An Approach Using Sensor Fusion And Knowledge-Based Heuristics", Proc. SPIE 0727, Mobile Robots I, (25 February 1987); https://doi.org/10.1117/12.937809

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