Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …

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

An overview on state of the art automotive radar usage is presented and the changing
requirements from detection and ranging towards radar based environmental understanding …

Radars are expected to become the main sensors in various civilian applications, ranging
from health-care monitoring to autonomous driving. Their success is mainly due to the …

The performance of automotive radar systems is expected to significantly increase in the
near future. With enhanced resolution capabilities more accurate and denser point clouds of …

In this paper, we proposed an automotive radar signal processing scheme for target
detection, tracking, and classification. The target detection part consists of range-processing …

Driven by the demand to develop self‐driving cars, automotive radars evolve rapidly at this
time. Current high end radars therefore have very little in common with the radars that were …

In this paper, we propose a Doppler-spectrum feature-based human–vehicle classification
scheme for an FMCW (frequency-modulated continuous wave) radar sensor. We introduce …

Recent progress in radar development enable high-resolution radar sensors to resolve
multiple detections for an extended object. One of the main challenges in radar-based object …

A method for collaborative target list processing of multiple radar sensors simultaneously
estimating multiple extended targets is presented and discussed. A scheme to cluster target …