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

  • March 11, 2015
    Keeping a watching brief over traffic flows
    Monitoring traffic flows is set to become an even bigger challengebut a revolution in camera technology can help, as Patrik Anderson explains. By 2025 almost 60% of the world’s population will live in urban areas and in those cities there will be an estimated 6.2 billion private motorised trips every day. In order to manage this level of traffic growth, traffic management centres (TMCs) will need to both increase their monitoring capabilities and be able to detect traffic problems quickly, efficiently and r
  • April 16, 2018
    Teledyne Dalsa's cameras feature Sony polarised image sensor
    Teledyne Dalsa has launched its Genie Nano-M2450-Polarised camera built around Sony's Pregius 5.1M polarised image sensor. The model features a monochrome quad polarisation filter, resolution of 2448 x 2048 pixels and aims to deliver an image capture of 35 frames-per-second. The product also utilises the company's TurboDrive technology with the intention of increasing frame rates by up to 50%. Additionally, the device is said to offer polarisation for both area and line scan (Piranha(TM)4 polarization)
  • March 29, 2022
    AEye sets sights on Lidar solutions
    AEye, a global leader in adaptive, high-performance lidar solutions, is showcasing its 4Sight M Adaptive Lidar and demonstrating live pedestrian tracking.
  • January 26, 2012
    What's next for traffic management and data collection?
    As the technologies and stakeholders in traffic management evolve, what can we expect to see happening in the coming years? For many, the conversation of the moment is just how, and how far, the newer technologies and services provided principally by the private sector should be allowed to intrude into the realms of traffic management.