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...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/64680 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-64680 |
---|---|
record_format |
dspace |
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 |
_version_ |
1772825521433870336 |