Guest blog: training autonomous vehicles to cope with adverse weather
Rain, snow and fog have the potential to cause havoc for autonomous vehicles and their object detection systems. These adverse weather conditions cause sharp intensity fluctuations in images and video, ultimately degrading the image quality and making object recognition more complex. Raindrops create patterns on the image, decreasing its intensity and blurring the edge of objects. Heavy snow can increase the image intensity and obscure the edge of objects, while fog can reduce the contrast of the image and again make pattern edge recognition more difficult.