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Computer vision techniques for rotorcraft low-altitude flightA description is given of research that applies techniques from computer vision to automation of rotorcraft navigation. The effort emphasizes the development of a methodology for detecting the ranges to obstacles in the region of interest based on the maximum utilization of passive sensors. The range map derived from the obstacle detection approach can be used as obstacle data for the obstacle avoidance in an automataic guidance system and as advisory display to the pilot. The lack of suitable flight imagery data, however, presents a problem in the verification of concepts for obstacle detection. This problem is being addressed by the development of an adequate flight database and by preprocessing of currently available flight imagery. Some comments are made on future work and how research in this area relates to the guidance of other autonomous vehicles.
Document ID
19880057098
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Sridhar, Banavar
(NASA Ames Research Center Moffett Field, CA, United States)
Cheng, Victor H. L.
(NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
August 13, 2013
Publication Date
June 1, 1988
Publication Information
Publication: IEEE Control Systems Magazine
Volume: 8
ISSN: 0272-1708
Subject Category
Aircraft Instrumentation
Distribution Limits
Public
Copyright
Other
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