Efficient and Robust Localization using Hybrid Environment Model-Reference-Cited by-同舟云学术

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Efficient and Robust Localization using Hybrid Environment Model

Published:2022-12-16 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 17th Conference on Industrial Electronics and Applications (ICIEA)
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Author:

Liu Chao¹,Huang Yu¹,Rong Youmin¹,Xie Yuanlong¹,Li Gen²,Meng Jie³,Zhang Guojun¹

Affiliation:

1. Huazhong University of Science and Technology,School of Mechanical Science and Engineering,Wuhan,China

2. Chinese Academy of Sciences,Guangzhou Institute of Advanced Technology,Guangzhou,China

3. Wuhan University of Technology,Intelligent Transport System Research Center,Wuhan,China,430063

Funder

Natural Science Foundation of Hubei Province

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10005874/10005887/10006162.pdf?arnumber=10006162

Reference32 articles.

1. 2D Laser SLAM With Closed Shape Features: Fourier Series Parameterization and Submap Joining

2. High-accuracy vehicle localization for autonomous warehousing

3. Localization for Mobile Robots using Panoramic Vision, Local Features and Particle Filter

4. LIMO: Lidar-Monocular Visual Odometry

5. Bags of Binary Words for Fast Place Recognition in Image Sequences

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