首页|期刊导航|Journal of Computer Science & Technology|From Anywhere to the Destination:Visual Reinforcement Learning for GNSS-Denied Drone Navigation

From Anywhere to the Destination:Visual Reinforcement Learning for GNSS-Denied Drone Navigation

Yu-Xin Wang Zhen-Yu Zhang Shun-Yu Liu Li Sun Ming-Li Song

Journal of Computer Science & Technology2025，Vol.40Issue(5)：P.1414-1426,13.

Journal of Computer Science & Technology2025，Vol.40Issue(5)：P.1414-1426,13.DOI:10.1007/s11390-025-4468-2

From Anywhere to the Destination:Visual Reinforcement Learning for GNSS-Denied Drone Navigation

Yu-Xin Wang ¹Zhen-Yu Zhang ¹Shun-Yu Liu ¹Li Sun ²Ming-Li Song¹

作者信息

1. College of Computer Science and Technology,Zhejiang University,Hangzhou 310027,China
2. Ningbo Innovation Center,Zhejiang University,Ningbo 315000,China
折叠

摘要

关键词

deep reinforcement learning/drone navigation/vision for robotics/autonomous driving

分类

航空航天

引用本文复制引用

Yu-Xin Wang,Zhen-Yu Zhang,Shun-Yu Liu,Li Sun,Ming-Li Song..From Anywhere to the Destination:Visual Reinforcement Learning for GNSS-Denied Drone Navigation[J].Journal of Computer Science & Technology,2025,40(5):P.1414-1426,13.

基金项目

supported in part by the Hangzhou Joint Funds of the Zhejiang Provincial Natural Science Foundation of China under Grant No.LHZSD24F020001 （）

the Zhejiang Province High-Level Talents Special Support Program“Leading Talent of Technological Innovation of Ten-Thousands Talents Program”under Grant No.2022R52046 （）

the Fundamental Research Funds for the Central Universities of China. （）

Journal of Computer Science & Technology

ISSN：1000-9000

访问量1

下载量0

段落导航