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Research on Unmanned Aerial Vehicle Target Detection and Tracking System Based on Deep Learning

Haoyu Jiang

Abstract


The application of drones in warehouse inspections is increasing, but achieving dynamic target tracking in complex environments still faces challenges. This article proposes a drone target tracking system based on deep learning and MPC, which adopts a four level “perception decision control executionâ€. The system has been validated for its effectiveness and robustness in both simulation and real-world experiments.

Keywords


UAV; Object detection; Target tracking; YOLO; MPC; ByteTrack; Finite state machine

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References


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DOI: http://dx.doi.org/10.70711/cle.v2i10.9810

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