Driving in adverse weather conditions is a key challenge for autonomous vehicles (AV).
Typical scene perception models perform poorly in rainy, foggy, snowy, and cloudy …

Weather detection systems (WDS) have an indispensable role in supporting the decisions of
autonomous vehicles, especially in severe and adverse circumstances. With deep learning …

Severe circumstances of outdoor weather might have a significant influence on the road
traffic. However, the early weather condition warning and detection can provide a significant …

Toward weather condition recognition, we emphasize the importance of regional cues in this
paper and address a few important problems regarding appropriate representation, its …

Abstract Automated Driving Systems (ADS) open up a new domain for the automotive
industry and offer new possibilities for future transportation with higher efficiency and …

Recently, self-driving vehicles have been introduced with several automated features
including lane-keep assistance, queuing assistance in traffic-jam, parking assistance and …

Autonomous driving is rapidly advancing, and Level 2 functions are becoming a standard
feature. One of the foremost outstanding hurdles is to obtain robust visual perception in …

Extracting information related to weather and visual conditions at a given time and space is
indispensable for scene awareness, which strongly impacts our behaviours, from simply …

Weather phenomenon recognition notably affects many aspects of our daily lives, for
example, weather forecast, road condition monitoring, transportation, agriculture, forestry …

Weather conditions often disrupt the proper functioning of transportation systems. Present
systems either deploy an array of sensors or use an in-vehicle camera to predict weather …