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Development of an Object Detection a...

Ayers, Hunter,

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Development of an Object Detection and Tracking Pipeline for Unmanned Aerial Vehicles in a Simulated Environment /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Development of an Object Detection and Tracking Pipeline for Unmanned Aerial Vehicles in a Simulated Environment // Hunter Ayers.
Author:	Ayers, Hunter,
Description:	1 electronic resource (68 pages)
Notes:	Source: Masters Abstracts International, Volume: 85-11.
Contained By:	Masters Abstracts International85-11.
Subject:	Mechanical engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31143852
ISBN:	9798382600963

Development of an Object Detection and Tracking Pipeline for Unmanned Aerial Vehicles in a Simulated Environment /
Ayers, Hunter,

Development of an Object Detection and Tracking Pipeline for Unmanned Aerial Vehicles in a Simulated Environment /Hunter Ayers. - 1 electronic resource (68 pages)

Source: Masters Abstracts International, Volume: 85-11.

Object tracking and recognition are essential tools for advanced autonomous navigation systems, particularly in Unmanned Aerial Vehicles (UAVs). This project centers around the innovative application of AirSim within Unreal Engine 4.27 to develop a sophisticated tracking and targeting system. The primary motivation behind employing a simulated environment instead of real-world settings is to eliminate the numerous uncontrollable variables inherent in physical scenarios. This controlled simulation allows for a more precise and detailed evaluation and refinement of various targeting theories. A key focus in creating a simulation is the exploration and fine-tuning of advanced computer vision-based methodologies for targeting. These include techniques like object tracking using contour boxes with YOLO (You Only Look Once) algorithm. By utilizing this approach in a simulated environment, the project aims to perfect these methods before integrating them into real commercial products, such as standardized drones. The significance of this project lies in its broad range of potential real-world applications. One of the most notable applications is in search and rescue missions, where the accuracy and reliability of tracking and targeting systems can dramatically enhance operational efficiency and safety. Additionally, the system could be adapted for other uses such as surveillance, environmental monitoring, or even entertainment industries for advanced special effects. By building upon these foundational works, this project aims to refine and enhance existing technologies and extend their applicability to a broader range of scenarios, including commercial and humanitarian applications. The ultimate goal is to demonstrate the feasibility and efficiency of simulated environments in developing and testing complex tracking and targeting systems, setting a precedent for future technological innovations in various fields.

English

ISBN: 9798382600963Subjects--Topical Terms:

649730
Mechanical engineering.
Subjects--Index Terms:

AirSim

Development of an Object Detection and Tracking Pipeline for Unmanned Aerial Vehicles in a Simulated Environment /
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245 1 0 $a Development of an Object Detection and Tracking Pipeline for Unmanned Aerial Vehicles in a Simulated Environment / $c Hunter Ayers.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2024
300 $a 1 electronic resource (68 pages)
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500 $a Source: Masters Abstracts International, Volume: 85-11.
500 $a Includes supplementary digital materials.
500 $a Advisors: Sevil, Hakki Erhan Committee members: Alqudah, Yazan; McGuirk, Jeff.
502 $b M.S. $c The University of West Florida $d 2024.
520 $a Object tracking and recognition are essential tools for advanced autonomous navigation systems, particularly in Unmanned Aerial Vehicles (UAVs). This project centers around the innovative application of AirSim within Unreal Engine 4.27 to develop a sophisticated tracking and targeting system. The primary motivation behind employing a simulated environment instead of real-world settings is to eliminate the numerous uncontrollable variables inherent in physical scenarios. This controlled simulation allows for a more precise and detailed evaluation and refinement of various targeting theories. A key focus in creating a simulation is the exploration and fine-tuning of advanced computer vision-based methodologies for targeting. These include techniques like object tracking using contour boxes with YOLO (You Only Look Once) algorithm. By utilizing this approach in a simulated environment, the project aims to perfect these methods before integrating them into real commercial products, such as standardized drones. The significance of this project lies in its broad range of potential real-world applications. One of the most notable applications is in search and rescue missions, where the accuracy and reliability of tracking and targeting systems can dramatically enhance operational efficiency and safety. Additionally, the system could be adapted for other uses such as surveillance, environmental monitoring, or even entertainment industries for advanced special effects. By building upon these foundational works, this project aims to refine and enhance existing technologies and extend their applicability to a broader range of scenarios, including commercial and humanitarian applications. The ultimate goal is to demonstrate the feasibility and efficiency of simulated environments in developing and testing complex tracking and targeting systems, setting a precedent for future technological innovations in various fields.
546 $a English
590 $a School code: 0688
650 4 $a Mechanical engineering. $3 649730
650 4 $a Robotics. $3 519753
650 4 $a Computer engineering. $3 621879
650 4 $a Automotive engineering. $3 2181195
653 $a AirSim
653 $a Autonomous tracking
653 $a Object detection systems
653 $a Simulation
653 $a Unmanned Aerial Vehicles
653 $a You Only Look Once
690 $a 0548
690 $a 0771
690 $a 0464
690 $a 0540
710 2 $a The University of West Florida. $b Engineering. $e degree granting institution. $3 3815665
720 1 $a Sevil, Hakki Erhan $e degree supervisor.
773 0 $t Masters Abstracts International $g 85-11.
790 $a 0688
791 $a M.S.
792 $a 2024
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=31143852