Hong Kong World: Leveraging Structural Regularity for Line-based SLAM-Reference-Cited by-同舟云学术

Hong Kong World: Leveraging Structural Regularity for Line-based SLAM

Published:2023 Issue: Volume: Page:1-18
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Li Haoang¹^ORCID,Zhao Ji²^ORCID,Bazin Jean-Charles³^ORCID,Kim Pyojin⁴^ORCID,Joo Kyungdon⁵^ORCID,Zhao Zhenjun⁶,Liu Yun-Hui⁶^ORCID

Affiliation:

1. Department of Informatics, Technical University of Munich, Munich, Germany

2. TuSimple, Beijing, China

3. School of Electrical Engineering and the Graduate School of Culture Technology, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea

4. Department of Mechanical Systems Engineering, Sookmyung Women's University, Seoul, South Korea

5. Artificial Intelligence Graduate School and the Department of Computer Science, Ulsan National Institute of Science and Technology (UNIST), Ulsan, South Korea

6. Department of Mechanical and Automation Engineering and CUHK T Stone Robotics Institute, The Chinese University of Hong Kong, Hong Kong, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/4359286/10124374.pdf?arnumber=10124374

Reference52 articles.

1. Line Flow Based Simultaneous Localization and Mapping

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

3. StructSLAM: Visual SLAM With Building Structure Lines

4. EPLF-VINS: Real-Time Monocular Visual-Inertial SLAM With Efficient Point-Line Flow Features

5. Robust Estimation of Absolute Camera Pose via Intersection Constraint and Flow Consensus

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