D-InLoc++: Indoor Localization in Dynamic Environments-Reference-Cited by-同舟云学术

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D-InLoc++: Indoor Localization in Dynamic Environments

Published:2022 Issue: Volume: Page:246-261
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Dubenova Martina^ORCID,Zderadickova Anna^ORCID,Kafka Ondrej^ORCID,Pajdla Tomas^ORCID,Polic Michal^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-16788-1_16

Reference59 articles.

1. cube2sphere 0.2.1. https://pypi.org/project/cube2sphere/. Accessed 11 May 2022

2. Localization datasets. https://www.visuallocalization.net/datasets/. Accessed 31 May 2022

3. Matterport. https://matterport.com/. Accessed 20 May 2022

4. Mattreport Pro 3D Camera. https://matterport.com/cameras/pro2-3D-camera. Accessed 20 May 2022

5. obj2gltf github repository. https://github.com/CesiumGS/obj2gltf. Accessed 20 May 2022

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The LuViRA Dataset: Synchronized Vision, Radio, and Audio Sensors for Indoor Localization;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. Indoor Visual Localization using Point and Line Correspondences in dense colored point cloud;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

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