An Intelligent System For Autonomous Navigation Of Airborne Vehicles

William L. Cameron; Howard Fain; James C. Bezdek

doi:10.1117/12.948960

5 January 1989 An Intelligent System For Autonomous Navigation Of Airborne Vehicles

William L. Cameron, Howard Fain, James C. Bezdek

Proceedings Volume 1003, Sensor Fusion: Spatial Reasoning and Scene Interpretation; (1989) https://doi.org/10.1117/12.948960
Event: 1988 Cambridge Symposium on Advances in Intelligent Robotics Systems, 1988, Boston, MA, United States

Abstract

Autonomous navigation of airborne platforms requires the integration of diverse sources of sensor data and contextual information. In this paper we describe a system that utilizes polarimetric radar cross-section and range data to generate position estimates based on four kinds of information: area segmentation, ground contours, landmarks and road networks. Ground truth in the form of terrain feature maps is correlated with each type of data stream. Finally, an arbitrator integrates these inputs with contextual knowledge about the preplanned flight path to resolve conflicts and arrive at a final estimate of current position.

Citation Download Citation

William L. Cameron, Howard Fain, and James C. Bezdek "An Intelligent System For Autonomous Navigation Of Airborne Vehicles", Proc. SPIE 1003, Sensor Fusion: Spatial Reasoning and Scene Interpretation, (5 January 1989); https://doi.org/10.1117/12.948960

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