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

  • Integrate systems to reduce roadside infrastructure
    January 27, 2012
    David Crawford reviews promising current developments. Instrumentation of the road infrastructure has grown to become one of the most dynamic sectors of the ITS industry. Drivers for its deployment include global concerns over the commercial and environmental pressures of traffic congestion, the importance of keeping drivers informed throughout their journeys, and the need to reduce accident rates and promote the safety of all road users, for example by enforcing traffic safety rules.
  • In-vehicle automation of safety compliance and other traffic violations
    January 24, 2012
    David Crawford explores new initiatives in enforcement. Achieving the EU’s new road safety target of reducing road traffic deaths by 50 per cent by 2020 depends on removing legal and institutional barriers to the deployment of new enforcement technologies, stresses Jan Malenstein. The senior ITS Adviser to Dutch National Police Agency the KLPD, and a European-level spokesperson on road and traffic safety, points to the importance of, among other requirements, an effective EUwide type approval process for fr
  • Machine vision’s image of road management’s future
    June 11, 2015
    Q-Free’s Marco Sinnema looks at how the commoditisation of high-quality vision-based solutions is widening their application. Machine vision technology’s entry into the ITS/traffic management sector has followed a classic top-down path. This is unsurprising given the extremely demanding performance criteria which are the standard in its market of origin, manufacturing processing. Very high image qualities combined with frame rates often in the hundreds per second range resulted in vision systems with capabi
  • Siemens: self-driving minibuses are the future of first-/last-mile
    February 26, 2020
    Markus Schlitt, CEO of intelligent traffic systems at Siemens Mobility, talks to ITS International about safety and why it is important for cities to offer additional shared and connected transit options.