Forward Collision Warning System

Forward Collision Warning (FCW) systems aim to prevent accidents by alerting drivers to imminent collisions. Current research focuses on improving FCW accuracy and reducing false alarms by incorporating driver behavior models, such as analyzing driver attention and gaze patterns, and integrating novel sensing technologies like decentralized radio sensing with deep learning algorithms (e.g., CNNs and LSTMs) for improved collision detection. Validation of these systems through both driving simulator studies and real-world field tests is crucial for ensuring their effectiveness and reliability, leading to safer driving environments and informing the design of future advanced driver-assistance systems.