Millimeter-wave (MMW) radar sensors are considered key components of autonomous
vehicles. Because of the performance degeneration of cameras and lidars under inclement …

With the rapid development of automated vehicles (AVs), more and more demands are
proposed towards environmental perception. Among the commonly used sensors, MMW …

77 GHz mmW radar is a powerful essential sensor for the state-of-art and future autonomous
vehicles. Besides the traditional intended functionality of mmW radars in target detection and …

The development of autonomous vehicles and unmanned aerial vehicles has led to a
current research focus on improving the environmental perception of automation equipment …

Radars with mmWave frequency modulated continuous wave (FMCW) technology
accurately estimate the range and velocity of targets in their field of view (FoV). The targeted …

In this paper, we present a novel multiclass-target classification method for mmWave
frequency modulated continuous wave (FMCW) radar operating in the frequency range of 77 …

Autonomous driving is a challenging problem in mobile robotics, particularly when the
domain is unstructured, as in an outdoor setting. In addition, field scenarios are often …

Human–vehicle classification is an essential component to avoiding accidents in
autonomous driving. The classification technique based on the automotive radar sensor has …

Millimeter-wave (mmW) radars are being increasingly integrated into commercial vehicles to
support new advanced driver-assistance systems (ADAS) by enabling robust and high …

This article presents a millimeter wave (mmWave) imaging radar-based real-time multiclass
object recognition system for advanced driver-assistance system (ADAS) applications …