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

Adverse weather has long been recognized as one of the major causes of motor vehicle
crashes due to its negative impact on visibility and road surface. Providing drivers with real …

For autonomous driving, perception is a primary and essential element that fundamentally
deals with the insight into the ego vehicle's environment through sensors. Perception is …

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 …

Enhancing the environmental perception of autonomous vehicles (AVs) in intelligent
transportation systems requires computer vision technology to be effective in detecting …

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

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 …

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 …

Developing automated systems to detect and track on-road vehicles is a demanding
research area in Intelligent Transportation System (ITS). This article proposes a method for …

The computer vision systems driving autonomous vehicles are judged by their ability to
detect objects and obstacles in the vicinity of the vehicle in diverse environments. Enhancing …