The First Experimental Study of Monocular Visual Localization for Train using Deep Learning Method-Reference-Cited by-同舟云学术

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The First Experimental Study of Monocular Visual Localization for Train using Deep Learning Method

Published:2023-08-12 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 9th International Conference on Cloud Computing and Intelligent Systems (CCIS)
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Author:

Wang Yong¹,Xie Junqing¹,Zhang Jingtao²,Li Shu²,Fan Kai³,Zhang Miao³

Affiliation:

1. Advanced Institute of Information Technology of Peking University,Hangzhou,China,311200

2. Hangzhou Innovation Institute, Beihang University,Hangzhou,China,310000

3. The Center of National Railway Intelligent Transportation System Engineering and Technology,Beijing,China,100081

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10262403/10262831/10262972.pdf?arnumber=10262972

Reference19 articles.

1. Rethinking Visual Geo-Localization for Large-Scale Applications;gabriele;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),2022

2. Visual Place Recognition: A Survey

3. Towards Linear-Time Incremental Structure from Motion

4. Very Large-Scale Global SfM by Distributed Motion Averaging

5. Joint Representation Learning and Keypoint Detection for Cross-View Geo-Localization

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