2026-04-14T05:38:06Zhttps://recercat.cat/oai/request

oai:recercat.cat:10256/283632026-03-07T19:50:51Zcom_2072_452966com_2072_2054col_2072_452969

2026-03-07T19:50:51Z urn:hdl:10256/28363 Vision-Based Tracking and Following of a Moving Target Using an Unmanned Aerial Vehicle Rustamani, Fatima Yousif Autonomous aerial vehicles Vehicles aeris autònoms UAV (Vehicle aeri no tripulat) Drone aircraft Object tracking (Computer vision) Pattern recognition systems Patrons, Sistemes de reconeixement de Algorithms Algorismes Seguiment d’objectes (visió per computador) This work introduces an autonomous system for mobile target tracking and follow ing using vision-based (RGB) uni-modal data, specifically designed for unmanned aerial vehicles (UAVs) and enhanced by multi-target information. It addresses the gap in current research by applying state-of-the-art multi-object tracking (MOT) techniques to target following scenarios, moving beyond traditional single-object tracking (SOT) methods. The system combines the real-time object detector YOLOv8 with MOT algorithms BoT-SORT and ByteTrack to extract and uti lize multi-target data, improving re-identification performance and reducing ID switches, especially under partial or full occlusions in dynamic environments. A 3D flight control mechanism is implemented to enable responsive target following, maintaining line-of-sight despite changes in target speed or direction. The system is validated through simulation testing, demonstrating accurate and robust track ing that effectively differentiates the intended target from surrounding bystanders. By tackling key challenges, this work paves the way for practical UAV applications in vision-based target following using multi-target information. 9 2026-03-07T19:50:51Z 2026-03-07T19:50:51Z 2025-06 info:eu-repo/semantics/masterThesis https://hdl.handle.net/10256/28363 Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess Universitat de Girona. Institut de Recerca en Visió per Computador i Robòtica Erasmus Mundus Joint Master in Intelligent Field Robotic Systems (IFROS)