Title :
A parallel implementation of a multisensor feature-based range-estimation method
Author :
Suorsa, Raymond E. ; Sridhar, Banavar
Author_Institution :
NASA Ames Res. Center, Moffett Field, CA, USA
Abstract :
A system capable of supporting autonomous helicopter navigation must extract obstacle information from imagery at rates varying from ten frames per second to thirty or more frames per second. A parallel implementation of the obstacle detection/ranging method is required. The authors describe an efficient and flexible parallel implementation of a multisensor feature-based range-estimation algorithm, targeted for helicopter flight, realized on both a distributed-memory and shared-memory parallel computer
Keywords :
aerospace computer control; aircraft control; computerised navigation; distributed memory systems; helicopters; image recognition; parallel algorithms; shared memory systems; autonomous helicopter navigation; distributed-memory; helicopter flight; multisensor feature-based range-estimation method; obstacle detection/ranging method; obstacle information; shared-memory parallel computer; Aircraft navigation; Computer architecture; Concurrent computing; Data mining; Distributed computing; Electrooptic devices; Helicopters; Image motion analysis; NASA; Optical filters; Optical sensors; Parallel processing; Sensor systems; Vehicle detection;
Conference_Titel :
Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-8186-3880-X
DOI :
10.1109/CVPR.1993.341102
