LATITUDE: Robotic Global Localization with Truncated Dynamic Low-pass Filter in City-scale NeRF-Reference-Cited by-同舟云学术

LATITUDE: Robotic Global Localization with Truncated Dynamic Low-pass Filter in City-scale NeRF

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Automation (ICRA)
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Author:

Zhu Zhenxin¹,Chen Yuantao¹,Wu Zirui¹,Hou Chao¹,Shi Yongliang¹,Li Chuxuan¹,Li Pengfei¹,Zhao Hao¹,Zhou Guyue¹

Affiliation:

1. Institute for AI Industry Research (AIR), Tsinghua University,China

Publisher

IEEE

Link

Reference31 articles.

1. Bogdan Stanci-ulescu, and Arnaud de La Fortelle. LENS: localization enhanced by nerf synthesis;moreau;CoRR,2021

2. Nerf: Representing scenes as neural radiance fields for view synthesis;mildenhall;ECCV,2020

3. Superglue: Learning feature matching with graph neural networks;sarlin;CoRR,2019

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2. Rip-NeRF: Anti-aliasing Radiance Fields with Ripmap-Encoded Platonic Solids;Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Papers '24;2024-07-13

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