EFFICIENCY OF ENVIRONMENT SIMULATION BASED ON INTERCONNECTED COMPUTER VISION SYSTEM

EFFICIENCY OF ENVIRONMENT SIMULATION BASED ON INTERCONNECTED COMPUTER VISION SYSTEM

V.P. Noskov
PhD in Technical Sciences, Bauman Moscow State Technical University, Assistant Professor, 5, 2-ya Baumanskaya ul., Moscow, 105005, Russia, tel.: +7(499)263-60-19, This email address is being protected from spambots. You need JavaScript enabled to view it. 

I.V. Rubtsov
PhD in Technical Sciences, Bauman Moscow State Technical University, Assistant Professor, 5, 2-ya Baumanskaya ul., Moscow, 105005, Russia, tel.: +7(499)263-60-19, This email address is being protected from spambots. You need JavaScript enabled to view it. 

A.V. Vazaev
Bauman Moscow State Technical University, Postgraduate Student, Engineer, 5, 2-ya Baumanskaya ul., Moscow, 105005, Russia, tel.: +7(499)263-60-19, This email address is being protected from spambots. You need JavaScript enabled to view it.


Abstract
One of the basic tasks for autonomous control systems of mobile robots is to form by on-board equipment such environment model, which allows performing and optimizing of future behaviour and motion and navigation tasks effective solving. To form the most complete and reliable model it is suggested to use data from the interconnected computer vision system, including inter- adjustable laser sensor, color-video camera and thermovisor. Such sensors combination supports receiving of a geometrical environment model with distrubution of color and temperature fields on it, what allows finding of more simple and reliable problem solution for object identification and classification of maneuvering areas by criterion of not only geometric passability, but also floatation. Contained in this paper results of field experimental investigations allows for the conclusion that applying of interconnected distance-video-thermal images enables essential range expanding of the addressable identification-navigation problems, which can be solved by data from the interconnected computer vision system, and improving solving effectiveness.

Key words
Mobile robot, autonomous control system, interconnected computer vision system, environment model, identification, classification.

Year 2015 Issue number 2 Consecutive issue number 7 Pages 51-55
UDC identifier: 62-519:007.52:004.93

 

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