Back to Explorer
Research PaperResearchia:202603.17034[Chemical Engineering > Engineering]

On the Derivation of Tightly-Coupled LiDAR-Inertial Odometry with VoxelMap

Zhihao Zhan

Abstract

This note presents a concise mathematical formulation of tightly-coupled LiDAR-Inertial Odometry within an iterated error-state Kalman filter framework using a VoxelMap representation. Rather than proposing a new algorithm, it provides a clear and self-contained derivation that unifies the geometric modeling and probabilistic state estimation through consistent notation and explicit formulations. The document is intended to serve both as a technical reference and as an accessible entry point for a foundational understanding of the system architecture and estimation principles.


Source: arXiv:2603.15471v1 - http://arxiv.org/abs/2603.15471v1 PDF: https://arxiv.org/pdf/2603.15471v1 Original Link: http://arxiv.org/abs/2603.15471v1

Submission:3/17/2026
Comments:0 comments
Subjects:Engineering; Chemical Engineering
Original Source:
View Original PDF
arXiv: This paper is hosted on arXiv, an open-access repository
Was this helpful?

Discussion (0)

Please sign in to join the discussion.

No comments yet. Be the first to share your thoughts!

On the Derivation of Tightly-Coupled LiDAR-Inertial Odometry with VoxelMap | Researchia