PLPL-VIO: A Novel Probabilistic Line Measurement Model for Point-Line-Based Visual-Inertial Odometry-Reference-Cited by-同舟云学术

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PLPL-VIO: A Novel Probabilistic Line Measurement Model for Point-Line-Based Visual-Inertial Odometry

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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Author:

Xu Zewen¹,Wei Hao¹,Tang Fulin¹,Zhang Yidi²,Wu Yihong¹,Ma Gang³,Wu Shuzhe³,Jin Xin³

Affiliation:

1. Institute of Automation, Chinese Academy of Science,State Key Laboratory of Multimodal Artificial Intelligence Systems,Beijing,China

2. School of Artificial Intelligence, University of Chinese Academy of Sciences,Beijing,China

3. Huawei Cloud EI Innovation Lab,China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10342387.pdf?arnumber=10342387

Reference23 articles.

1. Tracking line segments

2. A unified factorization algorithm for points, line segments and planes with uncertainty models

3. Pl-vins: Real-time monocular visual-inertial slam with point and line features;Fu;arXiv preprint,2020

4. Building a 3-D Line-Based Map Using Stereo SLAM

5. StructVIO: Visual-Inertial Odometry With Structural Regularity of Man-Made Environments

Cited by 1 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. CID-SIMS: Complex indoor dataset with semantic information and multi-sensor data from a ground wheeled robot viewpoint;The International Journal of Robotics Research;2023-12-21

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