Waterscenes: A multi-task 4d radar-camera fusion dataset and benchmarks for autonomous driving on water surfaces
Autonomous driving on water surfaces plays an essential role in executing hazardous and
time-consuming missions, such as maritime surveillance, survivor rescue, environmental …
time-consuming missions, such as maritime surveillance, survivor rescue, environmental …
Haze visibility enhancement for promoting traffic situational awareness in vision-enabled intelligent transportation
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 …
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 …
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
Proactive traffic management is increasingly critical in maritime intelligent transportation
systems. Central to this is maritime traffic forecasting, which leverages specific structures …
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
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 …
learning-based object detector with target association algorithms to achieve robust sea …