Current perception models for different tasks usually exist in modular forms on Unmanned
Surface Vehicles (USVs), which infer extremely slowly in parallel on edge devices, causing …

With the development of Unmanned Surface Vehicles (USVs), the perception of inland
waterways has become significant to autonomous navigation. RGB cameras can capture …

Panoptic perception is essential to unmanned surface vehicles (USVs) for autonomous
navigation. The current panoptic perception scheme is mainly based on vision only, that is …

Autonomous driving on water surfaces plays an essential role in executing hazardous and
time-consuming missions, such as maritime surveillance, survivors rescue, environmental …

With the rapid development of autonomous driving technology, radar sensors play a vital
role in the perception system due to their robustness under harsh environmental conditions …

The frequency and intensity of natural disasters (ie wildfires, storms, floods) has increased
over recent decades. Extreme weather can often be linked to climate change, and human …

The progress in maritime obstacle detection is hindered by the lack of a diverse dataset that
adequately captures the complexity of general maritime environments. We present the first …

In recent years, unmanned surface vehicles (USVs) have been experiencing growth in
various applications. With the expansion of USVs' application scenes from the typical marine …

A reliable obstacle detection system is crucial for autonomous surface vehicles (ASVs) to
realize fully autonomous navigation with no need of human intervention. However, the …

The perception of waterways based on human intent holds significant importance for
autonomous navigation and operations of Unmanned Surface Vehicles (USVs) in water …