Street view imagery (SVI) is instrumental for sensing urban environments, benefitting
numerous domains such as urban morphology, health, greenery, and accessibility. Billions …

In mobile systems, fog, rain, snow, haze, and sun glare are natural phenomena that can be
very dangerous for drivers. In addition to the visibility problem, the driver must face also the …

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

Optoelectronic sensing systems are used in automated vehicles for in-cabin features such
as driver attention and distraction monitoring. As automated driving technology continues to …

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 …

Inclement weather conditions, particularly heavy rain and the consequent wet road surface,
have an unfavorable effect on driving conditions, traffic infrastructure, and operational plans …

Cuaca merupakan faktor penting yang dipertimbangkan untuk berbagai pengambilan
keputusan. Klasifikasi cuaca manual oleh manusia membutuhkan waktu yang lama dan …

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 …

Microclimate—proximal climatic variation at scales of metres and minutes—can exacerbate
or mitigate the impacts of climate change on biodiversity. However, most microclimate …

Providing drivers with real-time weather information and driving assistance during adverse
weather, including fog, is crucial for safe driving. The primary focus of this study was to …