Obstacle avoidance and trajectory generation using artificial velocity function method

There have been many methods that were researched in depth in Unamnned Aerial Vehicle trajectory generation for obstacle avoidance. These include solving for Laplace’s equations, wavefront propagation simulation method, distance functions and potential function methods. Howver, limited study have be...

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Main Author: Chan, Gerry Jun Wen
Other Authors: Wang Jianliang
Format: Final Year Project
Language:English
Published: 2015
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Online Access:http://hdl.handle.net/10356/64680
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-646802023-07-07T16:27:00Z Obstacle avoidance and trajectory generation using artificial velocity function method Chan, Gerry Jun Wen Wang Jianliang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering There have been many methods that were researched in depth in Unamnned Aerial Vehicle trajectory generation for obstacle avoidance. These include solving for Laplace’s equations, wavefront propagation simulation method, distance functions and potential function methods. Howver, limited study have been done in the area of Artificial Velocity Method and its implementation in a off-the-shelf Hexacopter. This method uses a repulsive velocity field and attractive velocity field for the representation of obstacles and the goal point respectively. A physical space is modelled by the summation of the fields where the vectors at each point gives the speed and direction for the UAV to fly. The GPS dependency of the Hexacopter became a big hurdle for the algorithm to be succesfully implemented. Matlab was used to evaluate the performance of the method through velocity plots where shortfalls were identified. Improvements to the velocity equations were made with positive results. Bachelor of Engineering 2015-05-29T06:01:44Z 2015-05-29T06:01:44Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/64680 en Nanyang Technological University 49 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Chan, Gerry Jun Wen
Obstacle avoidance and trajectory generation using artificial velocity function method
description There have been many methods that were researched in depth in Unamnned Aerial Vehicle trajectory generation for obstacle avoidance. These include solving for Laplace’s equations, wavefront propagation simulation method, distance functions and potential function methods. Howver, limited study have been done in the area of Artificial Velocity Method and its implementation in a off-the-shelf Hexacopter. This method uses a repulsive velocity field and attractive velocity field for the representation of obstacles and the goal point respectively. A physical space is modelled by the summation of the fields where the vectors at each point gives the speed and direction for the UAV to fly. The GPS dependency of the Hexacopter became a big hurdle for the algorithm to be succesfully implemented. Matlab was used to evaluate the performance of the method through velocity plots where shortfalls were identified. Improvements to the velocity equations were made with positive results.
author2 Wang Jianliang
author_facet Wang Jianliang
Chan, Gerry Jun Wen
format Final Year Project
author Chan, Gerry Jun Wen
author_sort Chan, Gerry Jun Wen
title Obstacle avoidance and trajectory generation using artificial velocity function method
title_short Obstacle avoidance and trajectory generation using artificial velocity function method
title_full Obstacle avoidance and trajectory generation using artificial velocity function method
title_fullStr Obstacle avoidance and trajectory generation using artificial velocity function method
title_full_unstemmed Obstacle avoidance and trajectory generation using artificial velocity function method
title_sort obstacle avoidance and trajectory generation using artificial velocity function method
publishDate 2015
url http://hdl.handle.net/10356/64680
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