Skip to main content

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.

Related Content

  • December 1, 2015
    Machine vision makes red light enforcement easier
    Teledyne Dalsa’s Manny Romero looks at how the combination of camera manufacturer and software provider can make enforcement easier. Californian video analytics solution provider Eutecus develops real-time images capture and high speeds processing technology for applications including intelligent lighting and advanced driver assistance systems.
  • November 13, 2024
    AI-InfraSolutions and Stemmer go the full 360°
    Panoramic camera head designed for automated data collection in traffic applications
  • June 15, 2022
    Jenoptik measures out the future
    The speed of tech changes means Jenoptik is redrawing how it sees itself. Adam Hill catches up with Stefan Traeger and Kevin Chevis at Intertraffic Amsterdam to find out more about ‘extended reality’…
  • May 22, 2015
    Allied Vision and TORC Robotics help blind driver ‘see’
    TORC Robotics has partnered with the Robotics and Mechanisms Laboratory (RoMeLa) at the Virginia Polytechnic Institute and State University (Virginia Tech) with the aim of developing vehicles for the next generation of National Federation of the Blind (NFB) Blind Driver Challenge vehicles. The NFB developed the Blind Driver Challenge which calls upon developers and innovators to create interface technologies to allow those who are blind to drive a car independently. Held at the Daytona Speedway as a pre