The automation of low‐altilude rotorcraft flight depends on the ability to detect, locate, and navigate around obstacles lying in the ratorcraft's intended flightpath. Camputer vision techniques provide a passive method of obstacle detection and range estimation, for obstacle
avoidance. Several algorithms based on computer vision methods have been developed for this purpose using laboratory data; however, further development and validation of candidate algorithms require data collected from rotorcraft flight. A data base containing low‐altitude imagery augmented
with the rotorcraft and sensor parameters required for passive range estimation is not readily available. This paper focuses on the methodology used to develop such a data base from flight‐test data consisting of imagery, rotorcraft and sensor parameters, and ground‐truth range
measurements. As part of the data preparation, a technique for obtaining the sensor calibration parameters is described. The data base will enable the further development of algorithms far computer vision‐based obstacle detection and passive range estimation, as well as provide a benchmark
for verification of range estimates against ground‐truth measurements.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
Document Type: Research Article
NASA Ames Research Ctr., Moffett Field, Calif.
Publication date: 1992-10-01
More about this publication?
The Journal of the American Helicopter Society is the world's only scientific journal dedicated to vertical flight technology. It is a peer-reviewed technical journal published quarterly by AHS International and presents innovative papers covering the state-of-the-art in all disciplines of rotorcraft design, research and development. (Please note that AHS members receive significant discounts on articles and subscriptions.)
Journal subscribers who are AHS members log in here if you are not already logged in.
Authors can find submission guidelines and related information on the AHS website.