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

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

Scene understanding for automated driving requires accurate detection and classification of
objects and other traffic participants. Automotive radar has shown great potential as a sensor …

Millimeter-wave (mmW) radars are being increasingly integrated in commercial vehicles to
support new Adaptive Driver Assisted Systems (ADAS) for its ability to provide high accuracy …

As the real electromagnetic environment grows complex and the quantity of radar signals
turns massive, traditional methods, which require a large amount of prior knowledge, are …

In this paper, a target-attentional convolutional neural network (TACNN) combining the
convolutional neural network (CNN) and attention mechanism is proposed for radar high …

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

In this paper, we develop a Target-Aware Recurrent Attentional Network (TARAN) for Radar
Automatic Target Recognition (RATR) based on High-Resolution Range Profile (HRRP) to …

Datasets for autonomous cars are essential for the development and benchmarking of
perception systems. However, most existing datasets are captured with camera and LiDAR …

Millimeter wave (mmWave) radars are becoming a more popular sensing modality in self-
driving cars due to their favorable characteristics in adverse weather. Yet, they currently lack …