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Embedded Stereo Vision Based Obstacle Avoidance

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Title Information
Embedded Stereo Vision Based Obstacle Avoidance

Name:Personal
Luke, Geoffrey Role :Text(marcrelator)
creator

Name:Personal
Dr. Cameron H. G. Wright,Department of Electrical and Computer Engineering, University of Wyoming Role :Text(marcrelator)
contributor

typeOfResource
still image genre
Powerpoint/Pdf
Origin Information Place
Laramie, Wyoming
University of Wyoming (keyDate="yes")
2008-04-26

Language:Text
Eng

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born digital

abstract
The focus of this research was to develop an embedded stereo vision system in order to control a mobile robot platform. A stereo vision algorithm was developed in Matlab and tested on sample images. The algorithm must operate in real time, so a number of optimization techniques have been used, and only a small subsection of the image is processed. After the stereo vision algorithm was finalized in Matlab, it was implemented on an embedded system. The embedded system consists of two cameras and a microcontroller. The cameras periodically take pictures. The microcontroller then compares the two pictures and determines the distance to objects based on their displacement between the two images. Finally the microcontroller adjusts the motion of the robot to avoid any obstacles in its path. note
From - Undergraduate Research Day 2008 - Celebration of Research - Abstracts
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TBD

Related Item:series Title Information
Undergrauate Research Day 2008

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accessCondition:useAndReproduction
http://digital.uwyo.edu/copyright.html
Record Information languageOfCataloging :Text(ISO639-2B)
English :Code(ISO639-2B)
eng