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

fYear

1993

fDate

15-17 Jun 1993

Firstpage

379

Lastpage

385

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 1993. Proceedings CVPR '93., 1993 IEEE Computer Society Conference on

Conference_Location

New York, NY

ISSN

1063-6919

Print_ISBN

0-8186-3880-X

Type

conf

DOI

10.1109/CVPR.1993.341102

Filename

341102