With the development of intelligent manufacturing and automation, the precision and
complexity of mechanical equipment are increasing, which leads to a higher requirement for …

Energy depletion and environmental pollution have always been challenges hindering the
rapid development of the automotive industry. Electric vehicles (EVs), being promoted …

Motion prediction for the leading vehicle is a critical task for connected autonomous
vehicles. It provides a method to model the leading-following vehicle behavior and analysis …

In recent years, slow feature analysis (SFA) has been successfully employed to deal with the
air handling unit (AHU) system's time-varying dynamic properties. However, since the …

Driver workload inference is significant for the design of intelligent human–machine
cooperative driving schemes since it allows the systems to alert drivers before potentially …

Analyzing the energy consumption for road entities and the corresponding driving behaviors
are critical tasks for the realization of public traffic with a low energy cost and high efficiency …

Driving intention prediction is one of the key technologies for the development of advanced
assisted driving systems (ADAS), which could greatly reduce traffic accidents caused by …

Accurate estimation of vehicle sideslip angle and attitude angles are essential for the safety
control and lateral behaviour of driving performance. In this article, the variation of wheels …

The autonomous vehicles need to cooperate with the nearby vehicles to ensure driving
safety, however, it is challenging to plan and follow the desired trajectory considering the …

Intelligent connected electric vehicles (EVs) are widely considered as a trend in the global
automotive industry to make transportation safer, cleaner and more comfortable. As an …