The rapid development of autonomous driving technology has driven continuous innovation
in perception systems, with 4D millimeter-wave (mmWave) radar being one of the key …

Driven by deep learning techniques, perception technology in autonomous driving has
developed rapidly in recent years, enabling vehicles to accurately detect and interpret …

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 …

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

Urban water-surface robust perception serves as the foundation for intelligent monitoring of
aquatic environments and the autonomous navigation and operation of unmanned vessels …

With the rapid advancements of sensor technology and deep learning, autonomous driving
systems are providing safe and efficient access to intelligent vehicles as well as intelligent …

The sensor suite for assisted and automated driving functions vehicle is critical to the
function of a vehicle, but also the first and most important limitation to the level of automation …

Unmanned Surface Vehicles (USVs) hold significant value for their capacity to undertake
hazardous and labor-intensive operations over aquatic environments. Object detection tasks …

Water-surface robust perception based on multi-sensor fusion serves as the foundation for
waterway intelligent monitoring and autonomous driving of Unmanned Surface Vehicles …