Dataset for LiDAR-based Maritime Perception

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{Lin2022,   author={Jiaying Lin, Phillip Diekmann, Christian-Eike Framing, Rene Zweigel, Dirk Abel},   title={Maritime Environment Perception based on Deep Learning},   journal={accepted on IEEE Transactions on Intelligent Transportation Systems},   volume={X},   year=2022,   pages={1-11} }