AerialVL: A Dataset, Baseline and Algorithm Framework for Aerial-Based Visual Localization With Reference Map-Reference-Cited by-同舟云学术

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AerialVL: A Dataset, Baseline and Algorithm Framework for Aerial-Based Visual Localization With Reference Map

Published:2024-10 Issue:10 Volume:9 Page:8210-8217
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

He Mengfan¹^ORCID,Chen Chao²^ORCID,Liu Jiacheng³^ORCID,Li Chunyu¹^ORCID,Lyu Xu¹^ORCID,Huang Guoquan⁴^ORCID,Meng Ziyang¹^ORCID

Affiliation:

1. Department of Precision Instrument, Tsinghua University, Beijing, China

2. College of Information Science & Technology, Beijing University of Chemical Technology, Beijing, China

3. Unmanned Aerial Vehicle Lab, Meituan, Beijing, China

4. Department of Mechanical Engineering, Department of Computer and Information Sciences, University of Delaware, Newark, DE, USA

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7083369/10638067/10632587.pdf?arnumber=10632587

Reference44 articles.

1. Efficient & Effective Prioritized Matching for Large-Scale Image-Based Localization

2. Long-Term Visual Localization Revisited

3. Large-scale, real-time visual–inertial localization revisited

4. Season-Invariant GNSS-Denied Visual Localization for UAVs

5. Real-time Geo-localization Using Satellite Imagery and Topography for Unmanned Aerial Vehicles

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