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 perception involves understanding the external driving environment and the
internal state of the vehicle cabin and occupants using sensor data. It is critical to achieving …

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 …

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 …

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

The next-generation high-resolution automotive radar (4D radar) can provide additional
elevation measurement and denser point clouds, which has great potential for 3D sensing in …

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 …

Automotive radar provides reliable environmental perception in all-weather conditions with
affordable cost, but it hardly supplies semantic and geometry information due to the sparsity …

We consider the object recognition problem in autonomous driving using automotive radar
sensors. Comparing to Lidar sensors, radar is cost-effective and robust in all-weather …

This work presents two different forms of dense, high-resolution radar data from two
frequency modulated continuous wave radar sensors, along sparse radar pointclouds …