Memory-Based Deep Reinforcement Learning for Obstacle Avoidance in UAV With Limited Environment Knowledge-Reference-Cited by-同舟云学术

Memory-Based Deep Reinforcement Learning for Obstacle Avoidance in UAV With Limited Environment Knowledge

Published:2021-01 Issue:1 Volume:22 Page:107-118
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Singla Abhik^ORCID,Padakandla Sindhu^ORCID,Bhatnagar Shalabh^ORCID

Funder

Robert Bosch Centre for Cyber Physical Systems, Indian Institute of Science, as well as the Department of Science and Technology, through the ICPS Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9307358/08917687.pdf?arnumber=8917687

Cited by 160 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Semantic-Driven Autonomous Visual Navigation for Unmanned Aerial Vehicles;IEEE Transactions on Industrial Electronics;2024-11

2. Optimization of Urban Target Area Accessibility for Multi-UAV Data Gathering Based on Deep Reinforcement Learning;Drones;2024-09-05

3. Design and Development of a Side Spray Device for UAVs to Improve Spray Coverage in Obstacle Neighborhoods;Agronomy;2024-09-02

4. Cognitive Navigation for Intelligent Mobile Robots: A Learning-Based Approach with Topological Memory Configuration;IEEE/CAA Journal of Automatica Sinica;2024-09

5. Performance-Designated Reinforcement Learning Enclosing Control for UAVs With Collision-Free Capability;IEEE Transactions on Intelligent Transportation Systems;2024-09