Multi-ship encounter situation graph structure learning for ship collision avoidance based on AIS big data with spatio-temporal edge and node attention graph …

M Gao, M Liang, A Zhang, Y Hu, J Zhu - Ocean Engineering, 2024‏ - Elsevier
With the increasing number of ships on the sea, the frequency multi-ship encounters
situation was becoming more common than two-ship encounter. The complexity and risk of …

[HTML][HTML] Optimizing UAV path planning in maritime emergency transportation: A novel multi-strategy white shark optimizer

F Miao, H Li, G Yan, X Mei, Z Wu, W Zhao, T Liu… - Journal of Marine …, 2024‏ - mdpi.com
Maritime UAV path planning is a key link in realizing the intelligence of maritime emergency
transportation, providing key support for fast and flexible maritime accident disposal and …

A dynamic topology analysis method for multi-ship encounters based on multi time-space network trees

Z Liu, Y Li, Z Zhang, J Wang, Y Du - Ocean Engineering, 2024‏ - Elsevier
This paper innovatively proposes a novel approach of topological analysis in the dynamic
time-space domain of ship encounters under the joint action of multi-space network …

Multi-modal dataset and fusion network for simultaneous semantic segmentation of on-road dynamic objects

J Cho, J Ha, H Song, S Jang, K Jo - Engineering Applications of Artificial …, 2025‏ - Elsevier
An accurate and robust perception system is essential for autonomous vehicles to interact
with various dynamic objects on the road. By applying semantic segmentation techniques to …