Current research and development in recognizing and predicting driving behaviors plays an
important role in the development of Advanced Driver Assistance Systems (ADAS). For this …

Advanced Driver-Assistance Systems (ADASs) are currently gaining particular attention in
the automotive field, as enablers for vehicle energy consumption, safety, and comfort …

In AI-assisted decision-making, it is critical for human decision-makers to know when to trust
AI and when to trust themselves. However, prior studies calibrated human trust only based …

Accurate and reliable prediction of future motions of the nearby agents and effective
environment understanding will contribute to high-quality and meticulous path planning for …

Advanced Driver Assistance Systems (ADAS) are systems developed to assist the human
driver and therefore to make driving safer and better. Understanding and predicting human …

To automatize HVAC energy savings in buildings, it is useful to forecast the occupants'
behaviour. This article deals with such a forecasting problem by exploiting the daily …

In autonomous vehicles, recognizing different maneuvering behaviors of surrounding
vehicles is crucial to reduce traffic risks and achieve safe path planning. Conventional …

A major aspect in the development of advanced driving assistance systems (ADASs) is the
research in develo** human driving behavior prediction and recognition models. Recent …

Lane changing is a complex operation that has a significant impact on traffic safety. The
accurate identification and assessment of potential risks in the driving environment before …

This study develops a hidden Markov model (HMM)-based clustering framework to predict
auto insurance losses using driving characteristics extracted from telematics data. Through a …