Keeping Less is More: Point Sparsification for Visual SLAM

Author:

Park Yeonsoo1,Bae Soohyun2

Affiliation:

1. Mobiltech,Republic of Korea

2. Bobidi,USA

Funder

Korea Agency for Infrastructure Technology Advancement (KAIA)

Ministry of Land, Infrastructure and Transport

Publisher

IEEE

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. MS‐SLAM: Memory‐Efficient Visual SLAM With Sliding Window Map Sparsification;Journal of Field Robotics;2024-09-04

2. SlimSLAM: An Adaptive Runtime for Visual-Inertial Simultaneous Localization and Mapping;Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 3;2024-04-27

3. Enhancing Visual Navigation Performance by Prior Pose-Guided Active Feature Points Distribution;IEEE Transactions on Instrumentation and Measurement;2024

4. 3D Reconstruction Method Based on Autonomous Attitude Estimation for UAVs;Lecture Notes in Electrical Engineering;2024

5. Reducing Communication Consumption in Collaborative Visual SLAM with Map Point Selection and Efficient Data Compression;Communications in Computer and Information Science;2023-10-30

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