Automotive Domain

The automotive domain is undergoing a rapid transformation driven by advancements in artificial intelligence, focusing on improving safety, efficiency, and the overall driving experience. Current research emphasizes developing robust anomaly detection methods using statistical techniques combined with deep learning models like convolutional autoencoders and transformer networks for tasks such as fault prediction and safety assurance. These efforts aim to enhance the reliability and safety of autonomous driving systems and improve the efficiency of vehicle development processes, impacting both the scientific understanding of AI in safety-critical systems and the practical implementation of advanced vehicle technologies.