This paper presents a multimodal maritime dataset and the data collection procedure used to gather it, which aims to facilitate autonomous navigation in restricted water environments. The dataset comprises measurements obtained using various perception and navigation sensors, including a stereo camera, an infrared camera, an omnidirectional camera, three LiDARs, a marine radar, a global positioning system, and an attitude heading reference system. The data were collected along a 7.5-km-long route that includes a narrow canal, inner and outer ports, and near-coastal areas in Pohang, South Korea. The collection was conducted under diverse weather and visual conditions. The dataset and its detailed description are available for free download at https://sites.google.com/view/pohang-canal-dataset.
@article{arxiv.2303.05555,
title = {Pohang Canal Dataset: A Multimodal Maritime Dataset for Autonomous Navigation in Restricted Waters},
author = {Dongha Chung and Jonghwi Kim and Changyu Lee and Jinwhan Kim},
journal= {arXiv preprint arXiv:2303.05555},
year = {2023}
}