From Satellite to Ground: Satellite Assisted Visual Localization with Cross-view Semantic Matching-Reference-Cited by-同舟云学术

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From Satellite to Ground: Satellite Assisted Visual Localization with Cross-view Semantic Matching

Published:2024-05-13 Issue: Volume:32 Page:3977-3983
ISSN:
Container-title:2024 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Guo Xiyue¹,Peng Haocheng¹,Hu Junjie²,Bao Hujun¹,Zhang Guofeng¹

Affiliation:

1. Zhejiang University,State Key Lab of CAD&CG

2. Chinese University of Hong Kong,Shenzhen

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10609961/10609862/10611658.pdf?arnumber=10611658

Reference37 articles.

1. X-View: Graph-Based Semantic Multi-View Localization

2. Semantic Histogram Based Graph Matching for Real-Time Multi-Robot Global Localization in Large Scale Environment

3. Crossview Mapping with Graph-based Geolocalization on City-Scale Street Maps

4. BRIEF: Computing a Local Binary Descriptor Very Fast

5. Distinctive Image Features from Scale-Invariant Keypoints

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