Self-driving cars struggle when the weather turns bad. That’s because they are trained largely on data gathered when driving conditions are good and because similar data for hazardous driving conditions is difficult to collect on real roads.
In this video, we visit the German test track where researchers are collecting real-world vehicle data to help solve this problem. We then travel to London to find out how UK scientists are using this data to simulate the effect of fog, snow and rain. The film focuses on the unique contributions each partner makes and shows how together the teams generate results that are greater than the sum of the parts.
The research is part of a €10 million project funded by the EU’s flagship Horizon Europe innovation programme.
This is a Â鶹´«Ã½ CoLab production, .
Read more about the UK-German partnership solving the toughest challenges for driverless cars
The inside stories of successful Horizon Europe research collaborationsFind out more
