Important requirements for automotive radar are high resolution, low hardware cost, and
small size. Multiple-input, multiple-output (MIMO) radar technology has been receiving …

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 …

Automotive radar is the most promising and fastest-growing civilian application of radar
technology. Vehicular radars provide the key enabling technology for the autonomous …

We propose a high-resolution imaging radar system to enable high-fidelity four-dimensional
(4D) sensing for autonomous driving, ie, range, Doppler, azimuth, and elevation, through a …

This article examines the problem of interference in automotive radar. Different types of
automotive radar as well as mechanisms and characteristics of interference and the effects …

Future driver assistance and autonomous driving systems require high-resolution 4D
imaging radars that provide detailed and robust information about the vehicle's …

While camera and LiDAR processing have been revolutionized since the introduction of
deep learning, radar processing still relies on classical tools. In this paper, we introduce a …

The first approaches to improve vehicle safety were so-called passive safety systems, which
did not directly interfere with the driving process but protected the occupants during a crash …

Frequency-modulated continuous wave radar sensors play an essential role for assisted
and autonomous driving as they are robust under all weather and light conditions. However …

Subspace methods are essential to high-resolution environment sensing in the emerging
unmanned systems, if further combined with the millimeter-wave (mm-Wave) massive multi …