With recent developments, the performance of automotive radar has improved significantly.
The next generation of 4D radar can achieve imaging capability in the form of high …

Driven by deep learning techniques, perception technology in autonomous driving has
developed rapidly in recent years, enabling vehicles to accurately detect and interpret …

MmWave (millimeter wave) Frequency Modulated Continuous Waves (FMCW) RADARs are
sensors based on frequency-modulated electromagnetic which see their environment in 3D …

Object detection using automotive radars has not been explored with deep learning models
in comparison to the camera based approaches. This can be attributed to the lack of public …

High quality perception is essential for autonomous driving (AD) systems. To reach the
accuracy and robustness thatare required by such systems, several types of sensors must …

The progress brought by the deep learning technology over the last decade has inspired
many research domains, such as radar signal processing, speech and audio recognition …

Understanding the scene around the ego-vehicle is key to assisted and autonomous driving.
Nowadays, this is mostly conducted using cameras and laser scanners, despite their …

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 …

Radar odometry has been gaining attention in the last decade. It stands as one of the best
solutions for robotic state estimation in unfavorable conditions; conditions where other …

Scene understanding plays an essential role in enabling autonomous driving and
maintaining high standards of performance and safety. To address this task, cameras and …