Bad weather data could help autonomous vehicles see

Sensors that operate in Scotland's rain, snow and fog are providing data that could help autonomous vehicles see and operate safely in adverse weather. The Radiate project led by Heriot-Watt University has published a new dataset that includes three hours of radar images and 200,000 tagged road actors including other vehicles and pedestrians. The dataset solves a problem that has been facing manufacturers and researchers of autonomous vehicles. Until now, almost all the available, labeled data has been based on sunny, clear days. This meant there was no public data available to help develop autonomous vehicles that can operate safely in adverse weather conditions.