UAV Dynamic Object Tracking with Lightweight Deep Vision Reinforcement Learning

UAV Dynamic Object Tracking with Lightweight Deep Vision Reinforcement Learning

Several approaches have applied Deep Reinforcement Learning (DRL) to Unmanned Aerial Vehicles (UAVs) to do autonomous object tracking. These methods, however, are resource intensive and require prior knowledge of the environment, making them difficult to use in real-world applications. In this paper...

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Bibliographic Details
Main Authors: Hy Nguyen, Srikanth Thudumu, Hung Du, Kon Mouzakis, Rajesh Vasa
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Algorithms
Subjects:
deep Q-network (DQN)
deep deterministic policy gradient (DDPG)
deep reinforcement learning (DRL)
object tracking
object detection
unmanned aerial vehicle (UAV)
Online Access:https://www.mdpi.com/1999-4893/16/5/227

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https://www.mdpi.com/1999-4893/16/5/227

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