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Feasibility study of stereo vision as a stand-alone sensor for obstacle detection.

Thesis (MEng)--Stellenbosch University, 2017.

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Main Author: Nolte, Armand
Other Authors: Smit, W.
Format: Thesis
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2017
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access_status_str Open Access
author Nolte, Armand
author2 Smit, W.
author_browse Nolte, Armand
Smit, W.
author_facet Smit, W.
Nolte, Armand
author_sort Nolte, Armand
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (MEng)--Stellenbosch University, 2017.
format Thesis
id oai:scholar.sun.ac.za:10019.1/101168
institution Stellenbosch University (South Africa)
language en_ZA
last_indexed 2026-06-10T12:43:21.794Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2017
publishDateRange 2017
publishDateSort 2017
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/101168 Feasibility study of stereo vision as a stand-alone sensor for obstacle detection. Nolte, Armand Smit, W. Stellenbosch University. Faculty of Engineering. Dept. Mechanical and Mechatronic Engineering. Stereo cameras Regional disparities -- Maps Automatic detection in radar Noise control UCTD Sensors Thesis (MEng)--Stellenbosch University, 2017. ENGLISH ABSTRACT: The need for obstacle detection and the estimation of the relative distance of the objects is increasing in the field of robotics. The feasibility of using stereo vision as a means of detecting objects and their relative distance was investigated in this study. The aim was to implement obstacle detection within an area with moving objects and a moving vehicle. Objects were detected using disparity map generation. Different noise filtering techniques were applied to the disparity map to enhance the results. The noise filtering techniques tested for spatial aliasing, occlusion and low texture regions. To further improve the result, the disparity map of the current time frame was compared to that of its predecessor. The resulting disparity map showed large noise reductions but noise was still present. With slow-moving vehicles, the improved algorithm gives promising results. AFRIKAANSE OPSOMMING: Die nut vir voorwerp opsporing en die bepaling van die relatiewe afstand van die voorwerpe word al hoe belangriker in die veld van robotika. Die haalbaarheid om stereo visie te gebruik as metode om voorwerpe op te spoor en die relatiewie posisie te bepaal, is in hierdie studie ondersoek. Die doel was om voorwerp opsporing in ’n gebied met bewegende voorwerpe en ’n bewegende voertuig toe te pas. Voorwerpe is geïdentifiseer deur ongelykheidskaarte te gebruik. Verskillende geraasfilterings tegnieke is op die ongelykheidskaarte toegepas om die resultate te verbeter. Die tegnieke het vir ruimtelike aliasering, afsluiting en lae-tekstuurareas getoets. Om die resultate verder te verbeter, het ons die huidige ongelykheidskaart met die vorige ongelykheidskaart vergelyk. Die gevolglike ongelykheidskaart het baie minder geraas bevat, maar die geraas was nog nie heeltemal verwyder nie. Met stadige voertuie gee die verbeterde algoritme belowende resultate. 2017-02-21T11:41:36Z 2017-03-29T12:16:14Z 2017-02-21T11:41:36Z 2017-03-29T12:16:14Z 2017-03 Thesis http://hdl.handle.net/10019.1/101168 en_ZA Stellenbosch University 83 pages : illustrations application/pdf Stellenbosch : Stellenbosch University
spellingShingle Stereo cameras
Regional disparities -- Maps
Automatic detection in radar
Noise control
UCTD
Sensors
Nolte, Armand
Feasibility study of stereo vision as a stand-alone sensor for obstacle detection.
title Feasibility study of stereo vision as a stand-alone sensor for obstacle detection.
title_full Feasibility study of stereo vision as a stand-alone sensor for obstacle detection.
title_fullStr Feasibility study of stereo vision as a stand-alone sensor for obstacle detection.
title_full_unstemmed Feasibility study of stereo vision as a stand-alone sensor for obstacle detection.
title_short Feasibility study of stereo vision as a stand-alone sensor for obstacle detection.
title_sort feasibility study of stereo vision as a stand alone sensor for obstacle detection
topic Stereo cameras
Regional disparities -- Maps
Automatic detection in radar
Noise control
UCTD
Sensors
url http://hdl.handle.net/10019.1/101168
work_keys_str_mv AT noltearmand feasibilitystudyofstereovisionasastandalonesensorforobstacledetection