HypLiLoc: towards effective LiDAR pose regression with hyperbolic fusion

HypLiLoc: towards effective LiDAR pose regression with hyperbolic fusion

LiDAR relocalization plays a crucial role in many fields, including robotics, autonomous driving, and computer vision. LiDAR-based retrieval from a database typically incurs high computation storage costs and can lead to globally inaccurate pose estimations if the database is too sparse. On the othe...

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Bibliographic Details
Main Authors: Wang, Sijie, Kang, Qiyu, She, Rui, Wang, Wei, Zhao, Kai, Song, Yang, Tay, Wee Peng
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2023
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Visual Relocalization
Sensors
Online Access:https://hdl.handle.net/10356/165273
https://cvpr2023.thecvf.com/Conferences/2023

Internet

https://hdl.handle.net/10356/165273
https://cvpr2023.thecvf.com/Conferences/2023

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