Accurate and real-time acquisition of vehicular system dynamic states, road surface
conditions, and motion states of surrounding participants is crucial for the safety, passenger …

Artificial Intelligence (AI) has been widely adopted in numerous fields and enabled various
smart systems because of its strong ability to perform tasks, including prediction, event …

As an essential object detection application, road damage detection aims to identify and
mark road damage. Timely maintenance of detected damage can improve road safety …

A comprehensive understanding of the environment is essential for ensuring the driving
safety of intelligent vehicles. Road surface conditions, eg, uneven and damaged roads, icy …

In order to reduce the use of wheel angular velocity sensors and improve the estimation
accuracy and robustness of the tire–road friction coefficient (TRFC) in non-Gaussian noise …

Images from a front-facing camera on a vehicle can be used to estimate the varying Road
Surface Conditions (RSC) ahead to warn the driver or to initiate automatic speed reduction …

Deployment of Level 3 and Level 4 autonomous vehicles (AVs) in urban environments is
significantly constrained by adverse weather conditions, limiting their operation to clear …

Vision-based road friction coefficient estimation received extensive attention in the field of
road maintenance and autonomous driving. However, the current mainstream coarse …

Accurate prediction of the adhesion coefficient parameters of the road ahead is critical to the
driving safety of intelligent driving vehicles, however, the current stage of raw image-based …