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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Main Author: Talukder, Md Shapon Shapon
Format: Others
Published: OpenSIUC 2014
Online Access:https://opensiuc.lib.siu.edu/theses/1464
https://opensiuc.lib.siu.edu/cgi/viewcontent.cgi?article=2478&context=theses
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spelling 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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sources NDLTD
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
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