DocumentCode :
732166
Title :
Estimation of distance to objects by stereovision
Author :
Muratov, Yevgeniy R. ; Nikiforov, Michael B. ; Rusakov, Alexey B. ; Gurov, Victor S.
Author_Institution :
Electron. Counting Machines Dept., RSREU, Ryazan, Russia
fYear :
2015
fDate :
14-18 June 2015
Firstpage :
155
Lastpage :
158
Abstract :
Estimation of distance to real objects can be done with the help of various sensors. In some cases stereovision system is technically simpler and cheaper. Algorithms of dense stereovision allow to build highly detailed virtual terrain model, which gives opportunity to control the device in complicated relief or in dangerous surroundings. But some algorithms of dense stereovision have problems to determine the distance on the basis of real terrain sector images and the algorithms without such problems cannot make calculations in real time. The article proves the possibility to use stereovision to build virtual terrain model as well as studies the method to optimize stereovision algorithm to be used in embedded systems.
Keywords :
embedded systems; stereo image processing; dense stereovision algorithm; distance-to-objects estimation; embedded systems; real terrain sector images; stereovision system; virtual terrain model; Accuracy; Adaptive optics; Cameras; Computer vision; Embedded computing; Memory management; Sensors; dense stereovision; distance to objects; height map; stereovision algorithms; virtual terrain model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Embedded Computing (MECO), 2015 4th Mediterranean Conference on
Conference_Location :
Budva
Print_ISBN :
978-1-4799-8999-7
Type :
conf
DOI :
10.1109/MECO.2015.7181890
Filename :
7181890
Link To Document :
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