With recent developments, the performance of automotive radar has improved significantly.
The next generation of 4D radar can achieve imaging capability in the form of high …

Automotive radar is used in many applications of advanced driver assistance systems and is
considered as one of the key technologies for highly automated driving. An overview of state …

Next-generation automotive radars provide elevation data in addition to range-, azimuth-and
Doppler velocity. In this experimental study, we apply a state-of-the-art object detector …

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 …

Vehicle detection with visual sensors like lidar and camera is one of the critical functions
enabling autonomous driving. While they generate fine-grained point clouds or high …

MmWave (millimeter wave) Frequency Modulated Continuous Waves (FMCW) RADARs are
sensors based on frequency-modulated electromagnetic which see their environment in 3D …

With their robustness to adverse weather conditions and ability to measure speeds, radar
sensors have been part of the automotive landscape for more than two decades. Recent …

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 …

Building 3D perception systems for autonomous vehicles that do not rely on high-density
LiDAR is a critical research problem because of the expense of LiDAR systems compared to …

We present a radar-centric automotive dataset based on radar, lidar and camera data for the
purpose of 3D object detection. Our main focus is to provide high resolution radar data to the …