Obstacle avoidance for unmanned aerial vehicles (UAV)

In recent years, Unmanned Aerial Vehicles (UAV), otherwise known as drones have been increasingly popular due to their wide range of usage from aerial photography to military usage in combat. However, with increase in drone activities, means increase in chance of accidents such as collisions. Th...

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Bibliographic Details
Main Author: Chong, Charles Jin Jia
Other Authors: Hu Guoqiang
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/177031
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author Chong, Charles Jin Jia
author2 Hu Guoqiang
author_facet Hu Guoqiang
Chong, Charles Jin Jia
author_sort Chong, Charles Jin Jia
collection NTU
description In recent years, Unmanned Aerial Vehicles (UAV), otherwise known as drones have been increasingly popular due to their wide range of usage from aerial photography to military usage in combat. However, with increase in drone activities, means increase in chance of accidents such as collisions. The aim of this research is to implement a cost-efficient drone, that can perform obstacle avoidance capabilities by conducting research and simulations in hopes of getting the best cost-to-performance ratio. The model would be simulated on the software MATLAB/Simulink by varying the parameters and variables to simulate as action and reaction of the drone. The varying of these parameters and variables can be seen as adjusting the physical components used in the drones. Obstacle avoidance has been met; however, the results were not highly satisfactory especially in hitting specific waypoints and smoother controls. It is in hope that this finding would be a step closer to making obstacle avoidance in aerial robots affordable.
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spelling ntu-10356/1770312024-05-24T15:46:08Z Obstacle avoidance for unmanned aerial vehicles (UAV) Chong, Charles Jin Jia Hu Guoqiang School of Electrical and Electronic Engineering GQHu@ntu.edu.sg Engineering Obstacle avoidance In recent years, Unmanned Aerial Vehicles (UAV), otherwise known as drones have been increasingly popular due to their wide range of usage from aerial photography to military usage in combat. However, with increase in drone activities, means increase in chance of accidents such as collisions. The aim of this research is to implement a cost-efficient drone, that can perform obstacle avoidance capabilities by conducting research and simulations in hopes of getting the best cost-to-performance ratio. The model would be simulated on the software MATLAB/Simulink by varying the parameters and variables to simulate as action and reaction of the drone. The varying of these parameters and variables can be seen as adjusting the physical components used in the drones. Obstacle avoidance has been met; however, the results were not highly satisfactory especially in hitting specific waypoints and smoother controls. It is in hope that this finding would be a step closer to making obstacle avoidance in aerial robots affordable. Bachelor's degree 2024-05-24T07:51:19Z 2024-05-24T07:51:19Z 2024 Final Year Project (FYP) Chong, C. J. J. (2024). Obstacle avoidance for unmanned aerial vehicles (UAV). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/177031 https://hdl.handle.net/10356/177031 en A1053-231 application/pdf Nanyang Technological University
spellingShingle Engineering
Obstacle avoidance
Chong, Charles Jin Jia
Obstacle avoidance for unmanned aerial vehicles (UAV)
title Obstacle avoidance for unmanned aerial vehicles (UAV)
title_full Obstacle avoidance for unmanned aerial vehicles (UAV)
title_fullStr Obstacle avoidance for unmanned aerial vehicles (UAV)
title_full_unstemmed Obstacle avoidance for unmanned aerial vehicles (UAV)
title_short Obstacle avoidance for unmanned aerial vehicles (UAV)
title_sort obstacle avoidance for unmanned aerial vehicles uav
topic Engineering
Obstacle avoidance
url https://hdl.handle.net/10356/177031
work_keys_str_mv AT chongcharlesjinjia obstacleavoidanceforunmannedaerialvehiclesuav