Comprehensive Review: Anomaly Detection Techniques for Enhancing the Safety and Security of Connected and Autonomous Vehicles

This systematic review provides a comprehensive analysis of the current state of research on anomaly detection techniques for enhancing the safety and security of connected and autonomous vehicles (CAVs). It examines the various AI algorithms employed, the training procedures used, and the evaluation methodologies adopted to assess the effectiveness of anomaly detection models.