Autonomous Vehicles (AV) are expected to bring considerable benefits to society, such as
traffic optimization and accidents reduction. They rely heavily on advances in many Artificial …

Intelligent Traffic Systems (ITS) are currently evolving in the form of a cooperative ITS or
connected vehicles. Both forms use the data communications between Vehicle-to-Vehicle …

Recent work show that Deep Neural Networks (DNNs) have created great performance in
many tasks, but they are vulnerable to adversarial examples which trigger Artificial …

Deployment of newly developed autonomous vehicle (AV) technology on public roads may
result in exposure to the public of high levels of danger. A proactive metric, as opposed to a …

Most machine learning models operate under the assumption that the training, testing and
deployment data is independent and identically distributed (iid). This assumption doesn't …

The reliability and robustness of systems using machine learning to detect humans is of high
importance for the safety of workers in a shared workspace. Developments such as deep …

Automated Driving System (ADS) safety assessment is a crucial step before deployment on
public roads. Despite the importance of ADS safety assurance to test ADS reliability, most of …

Autonomous vehicles are expected to revolutionize the transportation industry by providing
a safer and more efficient means of transportation. However, as autonomous vehicles are …

Autonomous vehicles are expected to revolutionize the transportation industry by providing
a safer and more efficient means of transportation. However, as autonomous vehicles are …

Cette thèse propose le développement scientifique d'une méthode permettantde prendre en
compte les aspects de sécurité pour les applicationsindustrielles faisant intervenir la …