Dataset for LiDAR-based Maritime Perception

Citation Author(s):
Jiaying
Lin
Institut of Automatic Control, RWTH Aachen University
Phillip
Diekmann
Institut of Automatic Control, RWTH Aachen University
Christian-Eike
Framing
Institut of Automatic Control, RWTH Aachen University
René
Zweigel
Institut of Automatic Control, RWTH Aachen University
Dirk
Abel
Institut of Automatic Control, RWTH Aachen University
Submitted by:
Jiaying Lin
Last updated:
Tue, 05/17/2022 - 22:18
DOI:
10.21227/8z8x-yz12
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Abstract 

This dataset consists of the training and the evaluation datasets for the LiDAR-based maritime environment perception presented in our journal publication "Maritime Environment Perception based on Deep Learning." Within the datasets, LiDAR raw data are processed using Deep Neural Networks (DNN). In the training dataset, we introduce the method for generating training data in Gazebo simulation. In the evaluation datasets, we provide the real-world tests conducted by two research vessels, respectively.

 

Please cite our paper if you use these datasets in your research. All rights preserved at Institut of Automatic Control, RWTH Aachen University.

@ARTICLE{9681349,

author={Lin, Jiaying and Diekmann, Phillip and Framing, Christian-Eike and Zweigel, René and Abel, Dirk},

journal={IEEE Transactions on Intelligent Transportation Systems},

title={Maritime Environment Perception Based on Deep Learning},

year={2022},

volume={},

number={},

pages={1-11},

doi={10.1109/TITS.2022.3140933}}

Instructions: 

Please follow the Instruction_of_dataset.pdf for more information.