HypLiLoc: towards effective LiDAR pose regression with hyperbolic fusion

• 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 or Workshop Item
• 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
• Institution: Nanyang Technological University

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...