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

Autonomous vehicles require accurate, and fast decision-making perception systems to
know the driving environment. The 2D object detection is critical in allowing the perception …

A growing interest in autonomous driving (AD) and intelligent vehicles (IVs) is fueled by their
promise for enhanced safety, efficiency, and economic benefits. While previous surveys …

How to ensure robust and accurate 3D object detection under various environment is
essential for autonomous driving (AD) environment perception. While, until now, most of the …

Robust 3D object detection is critical for safe autonomous driving. Camera and radar
sensors are synergistic as they capture complementary information and work well under …

The pursuit of autonomous driving relies on developing perception systems capable of
making accurate, robust, and rapid decisions to interpret the driving environment effectively …

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

Detection of the surrounding objects of a vehicle is the most crucial step in autonomous
driving. Failure to identify those objects correctly in a timely manner can cause irreparable …

This paper presents novel hybrid architectures that combine grid-and point-based
processing to improve the detection performance and orientation estimation of radar-based …

LiDAR and Radar are two complementary sensing approaches in that LiDAR specializes in
capturing an object's 3D shape while Radar provides longer detection ranges as well as …