Abdelfettah Soultana

• Phd Student
• PhD Student at University Hassan II of Casablanca

Smart Car is an automobile with an advanced driver assistance system that can provide a more enjoyable driving experience as well as active safety features. The aim of these systems is to ensure road safety and reduce the risk of road accidents. For these purposes, a driver assistance system must be context-sensitive by monitoring the car and its e...

Smart Car is an automobile with an Advanced Driver Assistance System (ADAS) that can provide a more enjoyable driving experience as well as active safety features. The aim of these systems is to ensure road safety and reduce the risk of road accidents. For these purposes, a driver assistance system must be context-sensitive by monitoring the car an...

Recognizing the pivotal importance of monitoring driver inattention in the quest to minimize accidents and enhance safety and security, it is essential to highlight the inherent danger posed by drowsiness-a specific form of inattention that can significantly contribute to accidents. To address this issue, several propositions involving artificial i...

The advancement of intelligent transportation systems is crucial for improving road safety and optimizing traffic flow. In this paper, we present SafeSmartDrive, an integrated transportation monitoring system designed to detect and assess critical elements in the driving environment while simultaneously monitoring driver behavior. The system is str...

Driver inattention has emerged as a critical concern impacting road safety, resulting in an alarming surge in accidents and fatalities. This research introduces a novel system for detecting inattention, structured across six levels: perception, facial feature extraction, tracking driver face, and driver secondary task using pre-trained deep learnin...

Machine learning (ML) techniques empower computers to learn from data and make predictions or decisions in various domains, while preprocessing methods assist in cleaning and transforming data before it can be effectively utilized by ML. Feature selection in ML is a critical process that significantly influences the performance and effectiveness of...

In smart car applications, monitoring drivers involves assessing drivers' concentration, fatigue, distraction, and emotional state to ensure safe driving and accident prevention. In recent years, several research projects have focused on the impact of emotions on driving safety. Despite the models proposed and the performance achieved, FER2013, one...

In recent years, a significant increase in road accidents worldwide has been observed. This can partly be due to either driver distraction or fatigue. Therefore, a reliable alerting system that can detect the driver's inattention including fatigue, sleep, and distraction is necessarily required to prevent any potential accidents. The aim of this pa...

The emotional and mental state of the driver is very important in the driving process for safety and security reasons. In fact, there are several factors that affect driving safety, namely fatigue, stress, nervousness, sadness, and anger at the wheel. Hence, the need to detect and understand the emotional state of the driver is primordial to promot...