SGBA: semantic gaussian mixture model-based LiDAR bundle adjustment

SGBA: semantic gaussian mixture model-based LiDAR bundle adjustment

LiDAR bundle adjustment (BA) is an effective approach to reduce the drifts in pose estimation from the front-end. Existing works on LiDAR BA usually rely on predefined geometric features for landmark representation. This reliance restricts generalizability, as the system will inevitably deteriorate...

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Bibliographic Details
Main Authors: Ji, Xingyu, Yuan, Shenghai, Li, Jianping, Yin, Pengyu, Cao, Haozhi, Xie, Lihua
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2025
Subjects:
Computer and Information Science
Localization
Mapping
Bundle adjustment
Online Access:https://hdl.handle.net/10356/182120

Internet

https://hdl.handle.net/10356/182120

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