Keyframe-based Dense Mapping with the Graph of View-Dependent Local Maps

Fuente: arXiv
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Hauptverfasser: Zielinski, Krzysztof, Belter, Dominik
Format: Preprint
Veröffentlicht: 2026
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author Zielinski, Krzysztof
Belter, Dominik
author_facet Zielinski, Krzysztof
Belter, Dominik
contents In this article, we propose a new keyframe-based mapping system. The proposed method updates local Normal Distribution Transform maps (NDT) using data from an RGB-D sensor. The cells of the NDT are stored in 2D view-dependent structures to better utilize the properties and uncertainty model of RGB-D cameras. This method naturally represents an object closer to the camera origin with higher precision. The local maps are stored in the pose graph which allows correcting global map after loop closure detection. We also propose a procedure that allows merging and filtering local maps to obtain a global map of the environment. Finally, we compare our method with Octomap and NDT-OM and provide example applications of the proposed mapping method.
format Preprint
id arxiv_https___arxiv_org_abs_2601_08520
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Keyframe-based Dense Mapping with the Graph of View-Dependent Local Maps
Zielinski, Krzysztof
Belter, Dominik
Robotics
Computer Vision and Pattern Recognition
In this article, we propose a new keyframe-based mapping system. The proposed method updates local Normal Distribution Transform maps (NDT) using data from an RGB-D sensor. The cells of the NDT are stored in 2D view-dependent structures to better utilize the properties and uncertainty model of RGB-D cameras. This method naturally represents an object closer to the camera origin with higher precision. The local maps are stored in the pose graph which allows correcting global map after loop closure detection. We also propose a procedure that allows merging and filtering local maps to obtain a global map of the environment. Finally, we compare our method with Octomap and NDT-OM and provide example applications of the proposed mapping method.
title Keyframe-based Dense Mapping with the Graph of View-Dependent Local Maps
topic Robotics
Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2601.08520