Decision-making and planning are the core aspects of autonomous driving systems. These
factors are crucial for improving the safety, driving experience, and travel efficiency of …

Driver behavior plays a pivotal role in ensuring road safety as it is a significant factor in
preventing traffic crashes. Although extensive research has been conducted on this topic in …

Predicting breakdowns is becoming one of the main goals for vehicle manufacturers so as to
better allocate resources, and to reduce costs and safety issues. At the core of the utilization …

When a driver's actions while behind the wheel are observed and analysed in real time, the
process is called driver profiling. Better transport safety and the advancement of Intelligent …

Predictive maintenance has gained importance across various industries, including the
automotive sector. It is very challenging to detect vehicle failures in advance due to the …

In urban road traffic environments, intention estimation and trajectory prediction of
surrounding vehicles are necessary prerequisites for autonomous vehicles to plan their own …

The incorporation of alternative fuels in the automotive domain has brought a new paradigm
to tackle the environmental and energy crises. Therefore, it is of interest to test and forecast …

Multi-task learning has become a powerful solution in which multiple tasks are trained
together to leverage the knowledge learned from one task to improve the performance of the …

In recent years, naturalistic driving data (NDD) has played an essential role in
understanding driver behavior and has become a critical resource for the development of …

PID feedback control has been considered as the primary control strategy for chemical
production processes ever since. However, due to the large time-delay and nonlinearity of …