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

  • April 29, 2020
    Cognitive creates AI vision for China trams
    Chinese urban rail transit signalling system provider Fitsco and Cognitive Pilot are to work on artificial intelligence (AI) solutions for driverless trams.
  • July 24, 2012
    Cold efficiency
    Tools to support operational decisions in winter maintenance can remove subjectivity and increase efficiency; Vaisala's Danny Johns talks about latest developments Even the presence of trees at the roadside can have an effect on temperature An effective Road Weather Information System (RWIS) network can save a local road authority or jurisdiction tens of thousands of dollars or Euros'-worth of labour and consumables in a single night. Get those winter maintenance operations right over just three or four nig
  • January 4, 2024
    The future? It's remote, says Valerann
    More responsive traffic management is of enormous value – and Valerann thinks its SaaS system, remotely deployed in Latin America, is able to identify incidents much more quickly, finds Andrew Stone
  • September 8, 2015
    Hackers can fool self-driving car sensors into evasive action
    The laser ranging (LIDAR) systems that most self-driving cars rely on to sense obstacles can be hacked by a setup costing just US$60, a security researcher has told IEEE spectrum. According to Jonathan Petit, principal scientist at software security company Security Innovation, he can take echoes of a fake car, pedestrian or wall and put them in any location. Using such a system, which he designed using a low-power laser and pulse generator, attackers could trick a self-driving car into thinking somethin