The ability of rotorcraft to fly at low altitude is hindered by the high pilot workload required to avoid obstacles. The development of automation tools which can detect obstacles in the rotorcraft flight path, warn the crew, and interact with the guidance system to avoid detected obstacles would significantly reduce pilot workload and increase safety. The development of a methodology for detecting the ranges to obstacles based on the maximum utilization of passive sensors presents challenging problems in computer vision and image understanding. This paper gives an overview of the research in obstacle detection at NASA Ames Research Center.
Vision based techniques for rotorcraft low altitude flight
Visionsbasierte Verfahren für Hubschrauberflüge bei niedriger Höhe
1991
11 Seiten, 7 Bilder, 1 Tabelle, 18 Quellen
Conference paper
English
Computer vision techniques for rotorcraft low-altitude flight
Tema Archive | 1988
|Passive range estimation for rotorcraft low-altitude flight
British Library Online Contents | 1993
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