A Vision-Based End-to-End Reinforcement Learning Framework for Drone Target Tracking

A Vision-Based End-to-End Reinforcement Learning Framework for Drone Target Tracking

Drone target tracking, which involves instructing drone movement to follow a moving target, encounters several challenges: (1) traditional methods need accurate state estimation of both the drone and target; (2) conventional Proportional–Derivative (PD) controllers require tedious parameter tuning a...

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Bibliographic Details
Main Authors:	Xun Zhao, Xinjian Huang, Jianheng Cheng, Zhendong Xia, Zhiheng Tu
Format:	Article
Language:	English
Published:	MDPI AG 2024-10-01
Series:	Drones
Subjects:	drone target tracking end to end reinforcement learning YOLOv8 detector BoT-SORT twin delayed deep deterministic policy gradient
Online Access:	https://www.mdpi.com/2504-446X/8/11/628
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