The Trajectory Planning Method for UAV in Large Airspace Based on Deep Reinforcement Learning-Reference-Cited by-同舟云学术

The Trajectory Planning Method for UAV in Large Airspace Based on Deep Reinforcement Learning

Published:2022 Issue: Volume: Page:890-899
ISSN:1876-1100
Container-title:Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021)
language:
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Author:

Hu Weijun^ORCID,Quan Jiale^ORCID,Ma Xianlong,Gao Zhiqiang

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-9492-9_88

Reference12 articles.

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4. Fan, S., Qi, Q., Lu, K., et al.: Cruise missile autonomous obstacle avoidance technology based on improved artificial potential field method. J. Beijing Inst. Technol. 38(08), 828–834 (2018)

5. Chen, S., He, Y., Liu, H.: Online trajectory planning of reentry vehicle based on particle swarm optimization. Shanghai Aerosp. 32(06), 47–52 (2015)

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