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PlanarMesh: building compact 3D meshes from LiDAR using incremental adaptive resolution reconstruction

Abstract:
Building an online 3D LiDAR mapping system that produces a detailed surface reconstruction while remaining computationally efficient is a challenging task. In this paper, we present PlanarMesh, a novel incremental, mesh-based LiDAR reconstruction system that adaptively adjusts mesh resolution to achieve compact, detailed reconstructions in real-time. It introduces a new representation, planar-mesh, which combines plane modeling and meshing to capture both large surfaces and detailed geometry. The planar-mesh can be incrementally updated considering both local surface curvature and freespace information from sensor measurements. We employ a multi-threaded architecture with a Bounding Volume Hierarchy (BVH) for efficient data storage and fast search operations, enabling real-time performance. Experimental results show that our method achieves reconstruction accuracy on par with, or exceeding, state-of-the-art techniques—including truncated signed distance functions, occupancy mapping, and voxel-based meshing—while producing smaller output file sizes (10 times smaller than raw input and more than 5 times smaller than mesh-based methods) and maintaining real-time performance (around 2 Hz for a 64-beam sensor).
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/IROS60139.2025.11246204

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0003-3129-9861
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0002-8642-7974


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Funder identifier:
https://ror.org/001aqnf71
Grant:
10037847
More from this funder
Funder identifier:
https://ror.org/03wnrjx87


Publisher:
IEEE
Host title:
2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Pages:
15726-15733
Publication date:
2025-11-27
Acceptance date:
2025-07-01
Event title:
International Conference on Intelligent Robots and Systems (IROS 2025)
Event location:
Hangzhao, China
Event website:
https://www.iros25.org/
Event start date:
2025-10-19
Event end date:
2025-10-25
DOI:
EISSN:
2153-0866
ISSN:
2153-0858
EISBN:
9798331543938
ISBN:
9798331543945


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