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

Due to the rising concept of advanced air mobility (AAM), electric vertical take-off and
landing (eVTOL) aircraft has become the hotspot for academic research and commercial …

Camera and millimeter-wave (MMW) radar fusion is essential for accurate and robust
autonomous driving systems. With the advancement of radar technology, next-generation …

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

Scene understanding plays an essential role in enabling autonomous driving and
maintaining high standards of performance and safety. To address this task, cameras and …

Multi-sensor fusion has been widely used by autonomous vehicles (AVs) to integrate the
perception results from different sensing modalities including LiDAR, camera and radar …

Robust roadside traffic perception requires integrating the strengths of multi-source sensors
under various adverse conditions, which is challenging but indispensable for formulating …

RADARs and cameras have been present in automotives since the advent of ADAS, as they
possess complementary strengths and weaknesses but have been underlooked in the …

作为高级驾驶辅助系统(ADAS) 核心之一的汽车毫米波雷达因其具有全天时, 全天候, 小型化,
集成度高等优势, 提供了关键的感知能力, 逐渐成为国内外学者及厂商关注的焦点 …

4D millimeter-wave (MMW) radar, which provides both height information and dense point
cloud data over 3D MMW radar, has become increasingly popular in 3D object detection. In …