DocumentCode :
2782645
Title :
Parallel implementation of machine vision for aircraft navigation
Author :
Vinogradov, Ivan A. ; Lobusov, Eugene S. ; Pupkov, Constantine A.
Author_Institution :
Dept. of Autom. Control, Bauman (J.E.) State Tech. Univ., Moscow, Russia
fYear :
1997
fDate :
23-25 Sep 1997
Firstpage :
225
Lastpage :
229
Abstract :
So called, correlational extreme navigation systems provide extra accuracy due to corrections made from external sources. In this work, a machine vision based navigation for low altitude air operation is considered. An approach to navigation based on utilising time-invariant features of aerial images, such as linear features of artificial or natural origin (roads, areal feature contours) is presented. Though, there are many works in the area of remote sensing about linear features detection, only a few of them consider “live” usage on board for service needs. Some theoretical aspects of using different navigation features considered, the algorithm and results of the processing are presented. Recommendations for future research are proposed
Keywords :
aircraft navigation; cartography; computer vision; edge detection; feature extraction; image segmentation; image sequences; object recognition; remote sensing; aerial images; aircraft navigation; correlational extreme navigation systems; linear features detection; low altitude air operation; machine vision; remote sensing; time-invariant features; Aircraft navigation; Cameras; Computer vision; Feature extraction; Machine vision; Mobile robots; Power system reliability; Remotely operated vehicles; Roads; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Machine Vision in Practice, 1997. Proceedings., Fourth Annual Conference on
Conference_Location :
Toowoomba, Qld.
Print_ISBN :
0-8186-8025-3
Type :
conf
DOI :
10.1109/MMVIP.1997.625332
Filename :
625332
Link To Document :
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