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 …

Extreme operating conditions refer to the critical dynamic state during vehicle operation. The
lack of experimental data under critical conditions is one of the fundamental problems in the …

Visibility in foggy weather is of great value for traffic management and pollution monitoring.
However, vision-based fog visibility estimation methods are usually based on a single image …

Autonomous vehicles (AVs) must be thoroughly tested to ensure safety and reliability before
marketing. Simulation‐based testing has gained widespread recognition as the essential …

Driver emotion is considered an essential factor associated with driving behaviors and thus
influences traffic safety. Dynamically and accurately recognizing the emotions of drivers …

Cutting-edge connected vehicle (CV) technologies have drawn much attention in recent
years. The real-time traffic data captured by a CV can be shared with other CVs and data …

Estimating atmospheric visibility is a critical task in our current time, particularly in the safety
of aviation, navigation, and highway traffic, because it measures the quality of the …

The high risk of traffic accidents on highways caused by low visibility makes it vital for
accurate visibility estimation. As an effective and low-cost solution, image-based visibility …

This study addresses the challenge of retrieving traffic road visibility in the Internet of Video
Things (IoVT). The complexity arises from the highly ill-posed inverse problem of estimating …

Atmospheric visibility is a crucial meteorological element impacting urban air pollution
monitoring, public transportation, and military security. Traditional visibility detection …