Cognitive Technologies launches 4D Radar for self-driving cars

Cognitive Technologies says its 4D Imaging Radar for self-driving cars carries out vertical scanning without using mechanical components and can detect objects with an accuracy over 97%. The 4D radar is expected to detect the coordinates and speed of the road scene objects as well as their shape during all weather conditions. According to Cognitive, the solution supports SAR (synthetic-aperture radar) technology which is used to build a map of the environment around the vehicle. This technology also
November 7, 2018 Read time: 2 mins
Cognitive Technologies says its 4D Imaging Radar for self-driving cars carries out vertical scanning without using mechanical components and can detect objects with an accuracy over 97%.


The 4D radar is expected to detect the coordinates and speed of the road scene objects as well as their shape during all weather conditions.

According to Cognitive, the solution supports SAR (synthetic-aperture radar) technology which is used to build a map of the environment around the vehicle. This technology also allows the car to see potholes and curbs.

The radar detects objects at a distance of 300 metres in a range of azimuth angles greater than 100 degrees and elevation angles up to 20 degrees, the company adds.

Azimuth is the angle formed between a reference direction and a line from the observer to a point of interest.

Also, the product comes with video cameras and cognitive low level data fusion technology to offer improved computer vision capabilities.

Olga Uskova, president of Cognitive Technologies, says the company intends to produce up to 4.5 million radars per year by 2022.

Detection, Monitoring & Machine Vision

Related Content

  • March 9, 2016
    Intersection monitoring from video using 3D reconstruction
    Researchers Yuting Yang, Camillo Taylor and Daniel Lee have developed a system to turn surveillance cameras into traffic counters. Traffic information can be collected from existing inexpensive roadside cameras but extracting it often entails manual work or costly commercial software. Against this background the Delaware Valley Regional Planning Commission (DVRPC) was looking for an efficient and user-friendly solution to extract traffic information from videos captured from road intersections.
    Read More
  • June 30, 2017
    Volvo Cars and Autoliv partner with NVIDIA on self-driving cars
    Volvo Cars and Autoliv are teaming up with NVIDIA to develop advanced systems and software for AI self-driving cars.
    Read More
  • August 5, 2013
    Investment boost for Canada’s weather warning systems
    David Crawford reviews national and regional initiatives to boost Canada’s weather forecasting. Over the next five years Canada’s national weather services are due to benefit from a CAN$248 million injection of funding into the Environment Canada (EC) department to deliver timelier and more accurate weather warnings and forecasts for users including travellers and transport operators. The scheme, set out in the country’s 2013 Economic Action Plan, is to revitalise the services with new investments in federa
    Read More
  • August 29, 2012
    Connected vehicle data promises advanced weather warning
    Connected vehicle research and development is being aimed at improving driver safety and mobility, but is also promising advanced weather monitoring and warning systems. Sheldon Drobot reports. Over the last few years, the United States’ Federal Highway Administration (FHWA) and Research & Innovative Technology Administration (RITA) have joined forces to promote safety, mobility and the environment through a new connected vehicle initiative. This aims to enable wireless communication between vehicles, infra
    Read More

Highlighted Content