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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ndltd-siu.edu-oai-opensiuc.lib.siu.edu-theses-24782018-12-20T04:38:23Z CONTINUOUS LOCATION FINDING AND COLLISION AVOIDANCE WITH OBJECT DETECTION USING IMAGE PROCESSING AN ASPECT OF ROBOTIC VISION Talukder, Md Shapon Shapon 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. 2014-08-01T07:00:00Z text application/pdf https://opensiuc.lib.siu.edu/theses/1464 https://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=2478&context=theses Theses OpenSIUC |
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description |
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. |
author |
Talukder, Md Shapon Shapon |
spellingShingle |
Talukder, Md Shapon Shapon CONTINUOUS LOCATION FINDING AND COLLISION AVOIDANCE WITH OBJECT DETECTION USING IMAGE PROCESSING AN ASPECT OF ROBOTIC VISION |
author_facet |
Talukder, Md Shapon Shapon |
author_sort |
Talukder, Md Shapon Shapon |
title |
CONTINUOUS LOCATION FINDING AND COLLISION AVOIDANCE WITH OBJECT DETECTION USING IMAGE PROCESSING AN ASPECT OF ROBOTIC VISION |
title_short |
CONTINUOUS LOCATION FINDING AND COLLISION AVOIDANCE WITH OBJECT DETECTION USING IMAGE PROCESSING AN ASPECT OF ROBOTIC VISION |
title_full |
CONTINUOUS LOCATION FINDING AND COLLISION AVOIDANCE WITH OBJECT DETECTION USING IMAGE PROCESSING AN ASPECT OF ROBOTIC VISION |
title_fullStr |
CONTINUOUS LOCATION FINDING AND COLLISION AVOIDANCE WITH OBJECT DETECTION USING IMAGE PROCESSING AN ASPECT OF ROBOTIC VISION |
title_full_unstemmed |
CONTINUOUS LOCATION FINDING AND COLLISION AVOIDANCE WITH OBJECT DETECTION USING IMAGE PROCESSING AN ASPECT OF ROBOTIC VISION |
title_sort |
continuous location finding and collision avoidance with object detection using image processing an aspect of robotic vision |
publisher |
OpenSIUC |
publishDate |
2014 |
url |
https://opensiuc.lib.siu.edu/theses/1464 https://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=2478&context=theses |
work_keys_str_mv |
AT talukdermdshaponshapon continuouslocationfindingandcollisionavoidancewithobjectdetectionusingimageprocessinganaspectofroboticvision |
_version_ |
1718803330711420928 |