A Comprehensive Survey on Artificial Intelligence for Unmanned Aerial Vehicles-Reference-Cited by-同舟云学术

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A Comprehensive Survey on Artificial Intelligence for Unmanned Aerial Vehicles

Published:2023 Issue: Volume:4 Page:713-738
ISSN:2644-1330
Container-title:IEEE Open Journal of Vehicular Technology
language:
Short-container-title:IEEE Open J. Veh. Technol.

Author:

Sai Siva¹^ORCID,Garg Akshat²^ORCID,Jhawar Kartik³^ORCID,Chamola Vinay⁴^ORCID,Sikdar Biplab⁵^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering, BITS-Pilani, Pilani, India

2. Department of Electronics and Communication Engineering, BITS-Pilani, Pilani, India

3. Department of Electronics and Instrumentation Engineering, BITS-Pilani, Pilani, India

4. Department of Electrical and Electronics Engineering & APPCAIR, BITS-Pilani, Pilani, India

5. Department of Electrical and Computer Engineering, National University of Singapore, Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/8782711/9932544/10254249.pdf?arnumber=10254249

Reference162 articles.

1. Path Planning for UAV-Mounted Mobile Edge Computing With Deep Reinforcement Learning

2. An Introduction to Reinforcement Learning

3. UAV Path Planning Based on Multi-Layer Reinforcement Learning Technique

4. Multi-Agent Reinforcement Learning-Based Resource Allocation for UAV Networks

5. Joint Optimisation of Real-Time Deployment and Resource Allocation for UAV-Aided Disaster Emergency Communications

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