Semantic Map-based Localization of USV Using LiDAR in Berthing and Departing Scene-Reference-Cited by-同舟云学术

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Semantic Map-based Localization of USV Using LiDAR in Berthing and Departing Scene

Published:2023-08-04 Issue: Volume: Page:
ISSN:
Container-title:2023 7th International Conference on Transportation Information and Safety (ICTIS)
language:
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Author:

Hu Zhaozheng¹,Zhang Ming²,Meng Jie³,Xiao Hanbiao⁴,Shi Xiancheng⁵,Long Zijun⁶

Affiliation:

1. Wuhan University of Technology,Intelligent Transportation Systems Research Center, Chongqing Research Institute,Wuhan,China

2. Wuhan University of Technology,School of Information Engineering,Wuhan,China

3. Wuhan University of Technology,Intelligent Transportation Systems Research Center, Sanya Science and Education Innovation Park,Wuhan,China

4. Wuhan University of Technology,Intelligent Transportation Systems Research Center,Wuhan,China

5. Wuhan Guide Intelligent Technology Co., LTD,Wuhan,China

6. Wuhan University of Technology,School of Naval Architecture, Ocean and Energy Power Engineering,Wuhan,China

Funder

Research and Development

Natural Science Foundation of Hainan Province

Natural Science Foundation of Chongqing

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10243582/10243583/10243648.pdf?arnumber=10243648

Reference14 articles.

1. A Novel Water-Shore-Line Detection Method for USV Autonomous Navigation

2. Automatic water line detection for an USV system

3. RangeNet ++: Fast and Accurate LiDAR Semantic Segmentation

4. SuMa++: Efficient LiDAR-based Semantic SLAM

5. LIOSAM: Tightly-coupled LiDAR Inertial Odometry via Smoothing and Mapping;shan;2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),2020

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