CONTINUOUS LOCATION FINDING AND COLLISION AVOIDANCE WITH OBJECT DETECTION USING IMAGE PROCESSING AN ASPECT OF ROBOTIC VISION
In this thesis, I propose a method for finding the location of a moving robot in an arena. In scenarios where a robot need to reach a goal by evading obstacles or collision avoidance and perpetually calculating distance from the object, it is indispensable for the robot token precisely where it is....
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| Format: | Others |
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OpenSIUC
2014
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| Online Access: | https://opensiuc.lib.siu.edu/theses/1464 https://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=2478&context=theses |
| Summary: | In this thesis, I propose a method for finding the location of a moving robot in an arena. In scenarios where a robot need to reach a goal by evading obstacles or collision avoidance and perpetually calculating distance from the object, it is indispensable for the robot token precisely where it is. I propose an image processing with a color base approach to find the solution to this quandary. The main conception is to find some reference objects from the images captured by a camera and find a mapping between the size of the object in the image and the physical distance of the object. Amalgamating the distance information from multiple reference points I can facilely find the position of the robot in the arena. Experimental results reveal the prosperity of the proposed technique by engendering highly precise results. |
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