LCDL: Toward Dynamic Localization for Autonomous Landing of Unmanned Aerial Vehicle Based on LiDAR

LCDL: Toward Dynamic Localization for Autonomous Landing of Unmanned Aerial Vehicle Based on LiDAR–Camera Fusion

Published:2024-08-15 Issue:16 Volume:24 Page:26407-26415
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Xu Yongkang¹^ORCID,Chen Zhihua²^ORCID,Deng Chencheng¹,Wang Shoukun¹^ORCID,Wang Junzheng¹^ORCID

Affiliation:

1. National Key Laboratory of Autonomous Intelligent Unmanned Systems, School of Automation, Beijing Institute of Technology, Beijing, China

2. Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition and MOE Key Laboratory of Nondestructive Testing Technology, Nanchang Hangkong University, Nanchang, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Foundation of Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition

Natural Science Foundation of Jiangxi Province

Foundation of Science and Technology of Jiangxi Provincial Education Department

Doctor’s Foundation of Nanchang Hangkong University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7361/10637303/10599233.pdf?arnumber=10599233

Reference33 articles.

1. Physical Coupling Fusion Sensing of MFL-EMAT for Synchronous Surface and Internal Defects Inspection

2. Wearable Integrated Online Fusion Learning Filter for Heart PPG Sensing Tracking

3. When to Invoke a Prediction Service for Business Process Monitoring?

5. Time Granularity Setting Principle for Short-Term Passenger Flow Prediction in Urban Rail Transit

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