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Vector field histogram star obstacle avoidance system for multicopters

Thesis (MEng)--Stellenbosch University, 2016.

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Bibliographic Details
Main Author: Van Breda, Ruan
Other Authors: Smit, Willie
Format: Thesis
Language:en_ZA
Published: Stellenbosch : Stellenbosch University 2016
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access_status_str Open Access
author Van Breda, Ruan
author2 Smit, Willie
author_browse Smit, Willie
Van Breda, Ruan
author_facet Smit, Willie
Van Breda, Ruan
author_sort Van Breda, Ruan
collection Thesis
dc_rights_str_mv Stellenbosch University
description Thesis (MEng)--Stellenbosch University, 2016.
format Thesis
id oai:scholar.sun.ac.za:10019.1/100319
institution Stellenbosch University (South Africa)
language en_ZA
last_indexed 2026-06-10T12:40:50.669Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository
publishDate 2016
publishDateRange 2016
publishDateSort 2016
publisher Stellenbosch : Stellenbosch University
publisherStr Stellenbosch : Stellenbosch University
record_format dspace
source_str SUNScholar — Stellenbosch University Repository
spelling oai:scholar.sun.ac.za:10019.1/100319 Vector field histogram star obstacle avoidance system for multicopters Van Breda, Ruan Smit, Willie Stellenbosch University. Faculty of Engineering. Dept. of Mechanical and Mechatronic Engineering. Ultrasonics -- Sensors Robots -- Programming Multicopters Vector fields UCTD Radio detectors Thesis (MEng)--Stellenbosch University, 2016. ENGLISH ABSTRACT: In order to allow a multicopter to move about autonomously and detect and avoid obstacles in a two-dimensional plane, a prototype obstacle avoidance system, that implements the VFH* algorithm and uses a LIDAR sensor, was developed. The algorithm was coded in MATLAB and verified through simulations. Modifications were made to the VFH* algorithm to account for uncertainties with regard to the multicopter’s position. Thereafter, the obstacle avoidance system was successfully implemented in a test environment and managed to navigate a multicopter to its goal position for various obstacle configurations. AFRIKAANSE OPSOMMING: Ten einde ’n hommeltuig onafhanklik te laat rondbeweeg, terwyl dit versperrings in ’n twee-dimensionele vlak waarneem en ontwyk, is ’n prototipe hindernis vermydings-sisteem, wat die VVH* algoritme en ’n LIDAR sensor gebruik, ontwikkel. Die algoritme is in MATLAB gekodeer en deur simulasies bevestig. Veranderinge is aan die VVH* algoritme aangebring om vir onsekerhede ten opsigte van die hommeltuig se posisie voorsiening te maak. Daarna is die sisteem suksesvol in ’n toetsomgewing geïmplementeer en het dit die hommeltuig suksesvol deur verskeie konfigurasies van versperrings genavigeer. 2016-12-22T13:39:59Z 2016-12-22T13:39:59Z 2016-12 Thesis http://hdl.handle.net/10019.1/100319 en_ZA Stellenbosch University xiv, 110 pages : illustrations application/pdf Stellenbosch : Stellenbosch University
spellingShingle Ultrasonics -- Sensors
Robots -- Programming
Multicopters
Vector fields
UCTD
Radio detectors
Van Breda, Ruan
Vector field histogram star obstacle avoidance system for multicopters
title Vector field histogram star obstacle avoidance system for multicopters
title_full Vector field histogram star obstacle avoidance system for multicopters
title_fullStr Vector field histogram star obstacle avoidance system for multicopters
title_full_unstemmed Vector field histogram star obstacle avoidance system for multicopters
title_short Vector field histogram star obstacle avoidance system for multicopters
title_sort vector field histogram star obstacle avoidance system for multicopters
topic Ultrasonics -- Sensors
Robots -- Programming
Multicopters
Vector fields
UCTD
Radio detectors
url http://hdl.handle.net/10019.1/100319
work_keys_str_mv AT vanbredaruan vectorfieldhistogramstarobstacleavoidancesystemformulticopters