Improving Robustness in Dynamic Scenes: A Framework for Visual-Inertial-Semantic SLAM with Dynamic Probability Fusion-Reference-Cited by-同舟云学术

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Improving Robustness in Dynamic Scenes: A Framework for Visual-Inertial-Semantic SLAM with Dynamic Probability Fusion

Published:2024-01-19 Issue: Volume: Page:735-743
ISSN:
Container-title:2024 4th International Conference on Neural Networks, Information and Communication (NNICE)
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Author:

Zhang Yi¹,Zhou Zhe²,Shi Zhiqiang³,Wang Yueming²,Yu Zhangtao²,Qi Yuxuan²

Affiliation:

1. The Library of Chongqing University of Posts and Telecommunications,Chongqing,China

2. Chongqing University of Posts and Telecommunications,The School of Advanced Manufacturing Engineering,Chongqing,China

3. The China Assistive Devices and Technology Center,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10498130/10498125/10498735.pdf?arnumber=10498735

Reference16 articles.

1. Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age

2. ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM

3. Robust Method for Removing Dynamic Objects from Point Clouds

4. ERASOR: Egocentric Ratio of Pseudo Occupancy-Based Dynamic Object Removal for Static 3D Point Cloud Map Building

5. Visual SLAM Mapping Based on YOLOv5 in Dynamic Scenes

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