The main approaches for simulating FMCW radar are based on ray tracing, which is usually
computationally intensive and do not account for background noise. This work proposes a …

Advanced Driver Assistance Systems have been integrated in vehicles with the aim of
reducing traffic accidents caused by human error. Due to the safety-critical application of …

Advanced driver assistance systems (ADAS) are growing in quantity and complexity,
requiring even more sensor effectiveness and computational resources. Even though …

Autonomous Vehicles (AV) rely mainly on perceptual sensors to prepare the driving
decision. Perceptual sensors provide an image of the space around the car, called …

Psychotherapy has evolved over the past 50 years and many seasoned psychotherapists
have evolved as well. In the current paper, Dr Paul Wachtel summarizes his evolution as a …

Radar target simulations are vital to automotive research as they make it possible to
reproduce real scenarios with reasonable accuracy. However, this process comes with high …

Advanced driver assistance systems (ADAS) depend heavily on clear and precise
environmental perception. It is a known issue that vision-based sensors, like cameras and …

Accurate environmental perception is essential for advanced driver assistance systems
(ADAS). Vision-based sensors underperform in bad weather, while radar, which performs …

Due to the rise of deep learning, neural networks (NN) have been extensively applied to
radar signal processing for object detection, classification, and road segmentation in the …