The frequent traffic accidents lead to a large number of casualties and large related financial
losses every year; this serious state is owed to several factors; among those, driving …

Anomalous driving behavior detection is becoming more popular since it is vital in ensuring
the safety of drivers and passengers in vehicles. Road accidents happen for various …

As a powerful non-intrusive method, driver identification based on driving data analysis has
recently gained attention as it is beneficial for providing security, privacy, and …

Learning fingerprint-like driving style representations is crucial to accurately identify who is
behind the wheel in open driving situations. This study explores the learning of driving styles …

Improving driving behaviour can be a fruitful intervention to improve traffic safety. This paper
proposes a method to determine a driving behaviour score (DBS) for each driver based on …

Risky drivers account for 70% of fatal accidents in the United States. With recent advances in
sensors and intelligent vehicular systems, there has been significant research on assessing …

Campus or institution security has been a prominent area of study in recent decades. Facial
identification, voice verification, and vehicle license plate recognition have all been used …

Open-set driver identification system uses a metric learning-based neural network to identify
drivers through similarity comparison between drivers' driving styles. The neural network …

Driver identification is crucial for various applications including automotive security, law
enforcement, and the ride-sharing industry, as well as for advanced driver assistance …

Resumo A Internet das Coisas (IoT, do inglês Internet of Things) é uma rede crescente de
objetos—sensores, dispositivos, sistemas, entre outros—que capturam, transferem dados e …