A LiDAR Point Clouds Dataset of Ships in a Maritime Environment

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原文链接

国家科技期刊平台
NETL
NSTL
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外文摘要：For the first time,this article introduces a LiDAR Point Clouds Dataset of Ships composed of both collected and simulated data to address the scarcity of LiDAR data in mar-itime applications.The collected data are acquired using special-ized maritime LiDAR sensors in both inland waterways and wide-open ocean environments.The simulated data is generated by placing a ship in the LiDAR coordinate system and scanning it with a redeveloped Blensor that emulates the operation of a LiDAR sensor equipped with various laser beams.Furthermore,we also render point clouds for foggy and rainy weather condi-tions.To describe a realistic shipping environment,a dynamic tail wave is modeled by iterating the wave elevation of each point in a time series.Finally,networks serving small objects are migrated to ship applications by feeding our dataset.The positive effect of simulated data is described in object detection experiments,and the negative impact of tail waves as noise is verified in single-object tracking experiments.The Dataset is available at https://github.com/zqy411470859/ship_dataset.

外文关键词：

3D point clouds datasetdynamic tail wavefog sim-ulationrainy simulationsimulated data

作者：

Qiuyu Zhang、Lipeng Wang、Hao Meng、Wen Zhang、Genghua Huang

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作者单位：

College of Intelligent Systems Science and Engineering,Harbin Engineering University,Harbin 150001,China

Key Laboratory of Space Active Opto-Electronics Technology,Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai 200083,China

基金：

National Natural Science Foundation of ChinaFundamental Research Funds for the Central Universities of ChinaFundamental Research Funds for the Central Universities of China

项目编号：

621731033072022JC04023072022 JC0403

出版年：

2024

DOI：

10.1109/JAS.2024.124275

自动化学报(英文版)

中国自动化学会,中国科学院自动化研究所,中国科技出版传媒股份有限公司

自动化学报(英文版)

CSTPCDEI

ISSN：2329-9266

年,卷(期)：2024.11(7)