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

  • April 30, 2015
    New solutions to old problems set to cut emergency response times
    David Crawford looks at the latest developments in emergency response. Ensuring speedier reactions to transport and travel crises is becoming increasingly important. US statistics suggest that as many as 1,000 ‘saveable’ lives can be lost each year in major cities because of operational defects in their SOS operations.
    Read More
  • May 30, 2013
    Communication: the future of machine vision
    Jason Barnes asks leading machine vision industry figures what they consider to be the educational barriers to the technology’s increased uptake by the ITS sector. The recent rush by some organisations within the ITS sector to associate themselves with the term ‘machine vision’ underlines just how important the technology has become in a relatively short space of time. However, despite the technology having been applied in certain traffic management applications for some years, there remains a significant s
    Read More
  • September 22, 2020
    Cognitive Pilot and Fitsco collaborate on R&D
    Russian and Chinese firms will work on smart cities and autonomous driving projects
    Read More
  • December 13, 2013
    Daimler’s double take sees machine vision move in-vehicle
    Jason Barnes looks at Daimler’s Intelligent Drive programme to consider how machine vision has advanced the state of the art of vision-based in-vehicle systems. Traditionally, radar was the in-vehicle Driver Assistance System (DAS) technology of choice, particularly for applications such as adaptive cruise control and pre-crash warning generation. Although vision-based technology has made greater inroads more recently, it is not a case of ‘one sensor wins’. Radar and vision are complementary and redundancy
    Read More

Highlighted Content