Title :
Obstacle Detection Algorithms for Low Altitude Flight
Author :
Sridhar, Banavar
Author_Institution :
NASA Ames Research Center, Mail Stop 210-9, Moffett Field, California 94035
Abstract :
This paper describes an approach to collision avoidance for rotorcraft flying at low altitudes. The method is based on extracting information from passive image-based sensors. These methods can be used to alert a pilot about obstacles and provide inputs to navigation and guidance systems for further processing.
Keywords :
Azimuth; Data mining; Detection algorithms; Image motion analysis; Image sensors; Infrared detectors; Optical computing; Optical noise; Optical sensors; Safety;
Conference_Titel :
American Control Conference, 1987
Conference_Location :
Minneapolis, MN, USA