Waterscenes: A multi-task 4d radar-camera fusion dataset and benchmarks for autonomous driving on water surfaces

S Yao, R Guan, Z Wu, Y Ni, Z Huang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Autonomous driving on water surfaces plays an essential role in executing hazardous and
time-consuming missions, such as maritime surveillance, survivor rescue, environmental …

Haze visibility enhancement for promoting traffic situational awareness in vision-enabled intelligent transportation

Y Guo, RW Liu, Y Lu, J Nie, L Lyu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Visual sensors are one of the most essential sensing devices for achieving the traffic
situational awareness of vehicles and monitoring equipment, as they can provide richer and …

Deep-learning-empowered visual ship detection and tracking: Literature review and future direction

B Zhang, J Liu, RW Liu, Y Huang - Engineering Applications of Artificial …, 2025 - Elsevier
Visual object detection and tracking is a fundamental task in artificial intelligence and plays
a crucial role in various maritime applications, leading to enhanced maritime traffic safety …

[HTML][HTML] A data mining-then-predict method for proactive maritime traffic management by machine learning

Z Liu, W Chen, C Liu, R Yan, M Zhang - Engineering Applications of …, 2024 - Elsevier
Proactive traffic management is increasingly critical in maritime intelligent transportation
systems. Central to this is maritime traffic forecasting, which leverages specific structures …

[HTML][HTML] A robust method for multi object tracking in autonomous ship navigation systems

Z Shao, Y Yin, H Lyu, CG Soares - Ocean Engineering, 2024 - Elsevier
Abstract A novel Maritime Multi-Object Tracking method is proposed, combining a deep
learning-based object detector with target association algorithms to achieve robust sea …