Dense mapping from sparse visual odometry: a lightweight uncertainty-guaranteed depth completion method

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Publication Details

Journal
Frontiers in Robotics and AI
Published
2025-09-22
DOI
https://doi.org/10.3389/frobt.2025.1644230
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
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article

Dense mapping from sparse visual odometry: a lightweight uncertainty-guaranteed depth completion method

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Frontiers in Robotics and AI
Robotics and Sensor-Based Localization
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Dense mapping from sparse visual odometry: a lightweight uncertainty-guaranteed depth completion method

Chengcai Wang, Haoyuan Liu, Kun Xu, Xilun Ding, Xudong Zhang, Haoyang Wu, Daolong Yang
article en

Abstract

No abstract available for this paper.
Frontiers in Robotics and AIVol. 12
Beihang University (CN)
Openalex Percentile: Top 66%
Robotics and Sensor-Based Localization
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