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

With the development of society, technological progress, and new needs, autonomous
driving has become a trendy topic in smart cities. Due to technological limitations …

Autonomous driving requires an accurate and fast 3D perception system that includes 3D
object detection, tracking, and segmentation. Although recent low-cost camera-based …

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 …

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

Radar is ubiquitous in autonomous driving systems due to its low cost and good adaptability
to bad weather. Nevertheless, the radar detection performance is usually inferior because its …

The inherent noisy and sparse characteristics of radar data pose challenges in finding
effective representations for 3D object detection. In this paper we propose RadarDistill a …

Due to the trending need of building autonomous robotic perception system, sensor fusion
has attracted a lot of attention amongst researchers and engineers to make best use of cross …

Three-dimensional object detection is one of the key tasks in autonomous driving. To reduce
costs in practice low-cost multi-view cameras for 3D object detection are proposed to …

This survey paper explores the emergent domain of electric vertical takeoff and landing
vehicles (eVTOLs), emphasizing the critical role of autonomous navigation capabilities …