Millimeter-wave (MMW) 3-D imaging technology is becoming a research hotspot in the field
of safety inspection, intelligent driving, etc., due to its all-day, all-weather, high-resolution …

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

Leddar PixSet is a new publicly available dataset for autonomous driving research and
development. One key novelty of this dataset is the presence of full-waveform data from the …

A new automotive radar data set with measurements and point-wise annotations from more
than four hours of driving is presented. Data provided by four series radar sensors mounted …

Millimeter wave (mmWave) vehicular channels are highly dynamic, and the communication
link needs to be reconfigured frequently. In this work, we propose to use a passive radar …

Current automotive radars operate under 100 GHz. The natural progression to higher
frequencies beyond 100 GHz offers significant benefits in the form of increased bandwidth …

Although the beginning of research on automotive radar sensors goes back to the 1960s,
automotive radar has remained one of the main drivers of innovation in millimeter wave …

Millimeter-wave (mmWave) radar has been widely used in autonomous driving due to its
good performance under harsh weather conditions. In recent years, with the development of …

Autonomous driving on water surfaces plays an essential role in executing hazardous and
time-consuming missions, such as maritime surveillance, survivor rescue, environmental …

Millimeter Wave (MMW) radars are currently used as range measuring devices in
applications such as automotive driving aids (Langer and Jochem, 1996),(Rohling and …