Please use this identifier to cite or link to this item:
Title: Autonomous navigation on unmanned aerial vehicle (UAV)
Authors: Foo, Bryan Kai Xiang
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2019
Abstract: This report documents the work of the author’s final year project over the duration of two semesters. This report focuses on comparing two path planners, Fast Marching Method (FMM) and A* search, on UAV also known as drone, that has the same complexity of O(N log N) and completeness. The use of Robot Operating System (ROS) helps the author simulate a drone in an environment, navigating its way to the end point. This report begins with a brief introduction about autonomous navigation, followed by literature reviews on path planners that are available and recognised in the world of autonomous navigation. Following which, the methodology of conducting the experiments and the results related to Unmanned Aerial Vehicle (UAV) autonomous navigation.
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
Bryan Foo U1621155H FYP Final Report.pdf
  Restricted Access
2.47 MBAdobe PDFView/Open

Page view(s)

Updated on May 25, 2024

Download(s) 50

Updated on May 25, 2024

Google ScholarTM


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