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...

Full description

Saved in:
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
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2504-446X/8/11/628

Similar Items