Radar is a key component of the suite of perception sensors used for safe and reliable
navigation of autonomous vehicles. Its unique capabilities include high-resolution velocity …

Accurate perception is essential for advancing autonomous driving and addressing safety
challenges in modern transportation systems. Despite significant advancements in computer …

As an emerging technology and a relatively affordable device, the 4D imaging radar has
already been confirmed effective in performing 3D object detection in autonomous driving …

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

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

In the context of autonomous driving environment perception, multi-modal fusion plays a
pivotal role in enhancing robustness, completeness, and accuracy, thereby extending the …

Non-maximum suppression (NMS) is an essential post-processing module in many 3D
object detection frameworks to remove overlapping candidate bounding boxes. However, an …

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 perception of autonomous vehicles has to be efficient, robust, and cost-effective.
However, cameras are not robust against severe weather conditions, lidar sensors are …

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