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GREENLOC
Illustrative image © Josh Sorenson (via Unsplash)

ProjectGREENLOC

Solving radar jamming for driverless cars

A High-Sensitive Green Localization System for High-Speed Self-Driving Vehicles (GREENLOC)

Radar interference is a major roadblock to the development of autonomous vehicles. To mitigate this risk, researchers funded by the MSCA created GREENLOC, an innovative system that combines radar and communication systems.

Project impact

Fully driverless cars can use sensors such as radar to find their way, no matter how dark, rainy or foggy the road might be. But radar signals can be interfered with, or even completely jammed. This is a major speed bump to making these cars safe and ready for market. Dr. Canan Aydogdu, who led the GREENLOC project, created a component that merged radar's precise localisation with wireless communication technology. This component could then make localisation faster, more accurate, and use less energy. In project simulations, this technology proved capable of overcoming the radar interference problem. The device could localise itself to within three centimetres when moving. Canan then received support to further fine-tune the technology as part of the follow-up Vinnova project, showing the importance of this ground-breaking work. The research helps Europe’s automotive companies to continue to have a leading role in driverless car technology.

  • Coordinator

    Sweden

    Chalmers Tekniska Högskola AB

  • Participating and partners countries