Path planning for unmanned aerial vehicles using visibility line-based methods

This thesis concerns the development of path planning algorithms for unmanned aerial vehicles (UAVs) to avoid obstacles in two- (2D) and three-dimensional (3D) urban environments based on the visibility graph (VG) method. As VG uses all nodes (vertices) in the environments, it is computationally exp...

Full description

Bibliographic Details
Main Author: Omar, Rosli
Format: Thesis
Language:English
Published: 2011
Subjects:
Online Access:http://eprints.uthm.edu.my/3083/1/24p%20ROSLI%20OMAR.pdf
_version_ 1825637007519383552
author Omar, Rosli
author_facet Omar, Rosli
author_sort Omar, Rosli
collection UTHM
description This thesis concerns the development of path planning algorithms for unmanned aerial vehicles (UAVs) to avoid obstacles in two- (2D) and three-dimensional (3D) urban environments based on the visibility graph (VG) method. As VG uses all nodes (vertices) in the environments, it is computationally expensive. The proposed 2D path planning algorithms, on the contrary, select a relatively smaller number of vertices using the so-called base line (BL), thus they are computationally efficient. The computational efficiency of the proposed algorithms is further improved by limiting the BL’s length, which results in an even smaller number of vertices. Simulation results have proven that the proposed 2D path planning algorithms are much faster in comparison with the VG and hence are suitable for real time path planning applications. While vertices can be explicitly defined in 2D environments using VG, it is difficult to determine them in 3D as they are infinite in number at each obstacle’s border edge. This issue is tackled by using the so-called plane rotation approach in the proposed 3D path planning algorithms where the vertices are the intersection points between a plane rotated by certain angles and obstacles edges. In order to ensure that the 3D path planning algorithms are computationally efficient, the proposed 2D path planning algorithms are applied into them. In addition, a software package using Matlab for 2D and 3D path planning has also been developed. The package is designed to be easy to use as well as user-friendly with step-by-step instructions.
first_indexed 2024-03-05T21:44:49Z
format Thesis
id uthm.eprints-3083
institution Universiti Tun Hussein Onn Malaysia
language English
last_indexed 2024-03-05T21:44:49Z
publishDate 2011
record_format dspace
spelling uthm.eprints-30832021-11-02T01:52:02Z http://eprints.uthm.edu.my/3083/ Path planning for unmanned aerial vehicles using visibility line-based methods Omar, Rosli TL Motor vehicles. Aeronautics. Astronautics TL500-777 Aeronautics. Aeronautical engineering This thesis concerns the development of path planning algorithms for unmanned aerial vehicles (UAVs) to avoid obstacles in two- (2D) and three-dimensional (3D) urban environments based on the visibility graph (VG) method. As VG uses all nodes (vertices) in the environments, it is computationally expensive. The proposed 2D path planning algorithms, on the contrary, select a relatively smaller number of vertices using the so-called base line (BL), thus they are computationally efficient. The computational efficiency of the proposed algorithms is further improved by limiting the BL’s length, which results in an even smaller number of vertices. Simulation results have proven that the proposed 2D path planning algorithms are much faster in comparison with the VG and hence are suitable for real time path planning applications. While vertices can be explicitly defined in 2D environments using VG, it is difficult to determine them in 3D as they are infinite in number at each obstacle’s border edge. This issue is tackled by using the so-called plane rotation approach in the proposed 3D path planning algorithms where the vertices are the intersection points between a plane rotated by certain angles and obstacles edges. In order to ensure that the 3D path planning algorithms are computationally efficient, the proposed 2D path planning algorithms are applied into them. In addition, a software package using Matlab for 2D and 3D path planning has also been developed. The package is designed to be easy to use as well as user-friendly with step-by-step instructions. 2011-03 Thesis NonPeerReviewed text en http://eprints.uthm.edu.my/3083/1/24p%20ROSLI%20OMAR.pdf Omar, Rosli (2011) Path planning for unmanned aerial vehicles using visibility line-based methods. Doctoral thesis, University of Leicester.
spellingShingle TL Motor vehicles. Aeronautics. Astronautics
TL500-777 Aeronautics. Aeronautical engineering
Omar, Rosli
Path planning for unmanned aerial vehicles using visibility line-based methods
title Path planning for unmanned aerial vehicles using visibility line-based methods
title_full Path planning for unmanned aerial vehicles using visibility line-based methods
title_fullStr Path planning for unmanned aerial vehicles using visibility line-based methods
title_full_unstemmed Path planning for unmanned aerial vehicles using visibility line-based methods
title_short Path planning for unmanned aerial vehicles using visibility line-based methods
title_sort path planning for unmanned aerial vehicles using visibility line based methods
topic TL Motor vehicles. Aeronautics. Astronautics
TL500-777 Aeronautics. Aeronautical engineering
url http://eprints.uthm.edu.my/3083/1/24p%20ROSLI%20OMAR.pdf
work_keys_str_mv AT omarrosli pathplanningforunmannedaerialvehiclesusingvisibilitylinebasedmethods