Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorChua, Harrold Hao-Ru-
dc.description.abstractAchieving fully autonomous UAV flight system incorporates many different technologies and instruments (i.e. obstacle detection, path planning, on-board control, navigation, vision systems) to synergise with each other. This project focuses on the obstacle detection aspect, namely ultrasonic sensing technology. The advantages and disadvantages will be explored and experimented upon, all while using the Raspberry Pi 2 (a card-sized single board computer newly developed with the intent of promoting computer science) to handle the flight sensing and control. Ultrasound capabilities will be monitored to identify the ideal sensor model and determine if it is capable to be utilized and integrated with autonomous flight. On top of that, methods of display, storage and utilization of obstacle detection data is expanded upon as well.en_US
dc.format.extent65 p.en_US
dc.rightsNanyang Technological University-
dc.titleUltrasonic obstacle detection of a hexarotor unmanned aerial vehicleen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorWang Jianliangen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineeringen_US
item.fulltextWith Fulltext-
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
FYP Final Report - Ultrasonic Obstacle Detection of a Hexarotor Unmanned Aerial Vehicle - Harrold Chua.pdf
  Restricted Access
2.5 MBAdobe PDFView/Open

Page view(s)

Updated on Dec 11, 2023


Updated on Dec 11, 2023

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.