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Development of a UAV-based Detection and Tracking Pipeline in Simulation Environment
Conference proceeding   Open access   Peer reviewed

Development of a UAV-based Detection and Tracking Pipeline in Simulation Environment

Hunter Ayers and Hakki Erhan Sevil
36th Florida Conference on Recent Advances in Robotics
Florida Conference on Recent Advances in Robotics (FCRAR 2024), 37th (FAMU-FSU College of Engineering, Tallahassee, Florida, USA, 05/07/2024–05/08/2024)
05/08/2024

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Abstract

Object detection and tracking are essential for particular applications especially with Unmanned Aerial Vehicles (UAVs). This study focuses on developing a pipeline of an advanced detection and tracking system specifically for use in UAVs, leveraging the capabilities of AirSim. The use of AirSim allows for a more meticulous examination and refinement of targeting theories, thanks to the controlled conditions of the simulation. The project utilizes the YOLO (You Only Look Once) algorithm for object detection and tracking through contour boxes. The experiment results show successful detection and tracking capability of the UAV. The developed pipeline can be used for various applications such as search and rescue operations, where the precision and dependability of such tracking and targeting systems could significantly improve efficiency and safety.
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