Driver Attention Monitoring is an active safety technology that uses in-vehicle sensors and algorithms to monitor the driver's concentration in real time. It primarily employs technologies such as infrared cameras and steering wheel capacitive sensing to track the driver's head posture, gaze direction, and physiological indicators (e.g., blink rate). For instance, BMW's monitoring system integrates infrared cameras with a capacitive sensing steering wheel to determine whether the driver is lightly gripping the wheel while observing road conditions, while some solutions further enhance monitoring accuracy by analyzing spatiotemporal patterns of facial landmarks (eyelids, mouth corners). This technology effectively mitigates accident risks caused by attention lapses, particularly in maintaining "driver-in-the-loop" during L2+ assisted driving. Currently, localized vehicle models adapt algorithms to regional driving habits, though it's crucial to note that such systems serve only as aids-drivers must maintain full attention at all times.
