IGE-LIO: Intensity Gradient Enhanced Tightly Coupled LiDAR-Inertial Odometry-Reference-Cited by-同舟云学术

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IGE-LIO: Intensity Gradient Enhanced Tightly Coupled LiDAR-Inertial Odometry

Published:2024 Issue: Volume:73 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Chen Ziyu¹^ORCID,Zhu Hui¹^ORCID,Yu Biao¹^ORCID,Jiang Chunmao¹^ORCID,Hua Chen¹^ORCID,Fu Xuhui¹^ORCID,Kuang Xinkai¹^ORCID

Affiliation:

1. Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui, China

Funder

Youth Innovation Promotion Association of Chinese Academy of Sciences

Dreams Foundation of Jianghuai Advance Technology Center

Anhui Province Key Research and Development Plan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/19/10367905/10643007.pdf?arnumber=10643007

Reference30 articles.

1. SG-SLAM: A Real-Time RGB-D Visual SLAM Toward Dynamic Scenes With Semantic and Geometric Information

2. Dynamic SLAM: A Visual SLAM in Outdoor Dynamic Scenes

3. ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras

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

5. VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator

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