Continual driver behaviour learning for connected vehicles and intelligent transportation systems: Framework, survey and challenges

Modelling, predicting and analysing driver behaviours are essential to advanced driver assistance systems (ADAS) and the comprehensive understanding of complex driving scenarios. Recently, with the development of deep learning (DL), numerous driver behaviour learning (DBL) methods have been proposed and applied in connected vehicles (CV) and...

Nanoprobes for PET/MR Imaging

The development of clinical imaging techniques significantly improves diagnostic accuracy and provides guidance for personalized treatment of individuals. However, every single imaging modality has its distinct drawbacks that cannot fully fulfil the diagnosis requirement. Thus, rational combination of different imaging modalities can achieve...

Pool fire burning characteristics and risks under wind-free conditions: State-of-the-art

Pool fire is a typical example of fire accidents in chemical process industries. Since fire researchers have implemented a variety of measurements to gain insights into pool fire and to prevent fire disasters, there is a need to illustrate how pool fire models influence the risk assessment results. This review intends to consecutively discuss...

New innovations in pavement materials and engineering: A review on pavement engineering research 2021

Sustainable and resilient pavement infrastructure is critical for current economic and environmental challenges. In the past 10 years, the pavement infrastructure strongly supports the rapid development of the global social economy. New theories, new methods, new technologies and new materials related to pavement engineering are emerging....