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Monitoring Systems to Detect Drowsy

2. Outline. The issueCausesMonitoring the driverThe various approaches and how they workDelphi's Driver State Monitor (DSM)Summary. 3. The issue. Driver Fatigue1500 fatalities and 71,000 injuries (NHTSA estimates)Under reportedDriver fatigue: Lengthy road timeDrowsiness: Sleep or bodily clock disturbance.

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Monitoring Systems to Detect Drowsy

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    1. Monitoring Systems to Detect Drowsy/Fatigued Drivers Robert Dufour, Ph.D.

    2. 2 Outline The issue Causes Monitoring the driver The various approaches and how they work Delphi’s Driver State Monitor (DSM) Summary

    3. 3 The issue Driver Fatigue 1500 fatalities and 71,000 injuries (NHTSA estimates) Under reported Driver fatigue: Lengthy road time Drowsiness: Sleep or bodily clock disturbance

    4. 4 Causes Bad sleeping habits Clinical conditions impacting sleep Increase commuting distance Limited understanding of the circadian rhythm In some cases, work responsibility and working environment

    5. 5 Monitoring the Driver Driving while sleepy is too common Last line of defense Should monitoring occur in other environments?

    6. 6 Various Approaches Visual monitoring of the driver Optical sensor to detect head and/or eyes gestures Lane deviation monitoring Sensor monitors vehicle Head nod monitoring Sensor to detect head movement Activity monitor Driver wears watch-type sensor that tracks of motion Mental Reaction Time Measures driver’s reaction time to random warning

    7. 7 Delphi’s Driver State Monitor Delphi is developing sensors and algorithms that use non-intrusive methods to determine driver state in real time: Visual distraction Drowsiness and fatigue Visual distraction monitoring based on research findings from NHTSA-sponsored, Delphi-led SAVE-IT program.

    8. 8 Delphi’s Driver State Monitor (DSM) Driver state monitoring is key to driver safety. The vast majority of crashes are due to driver error. Enables adaptive safety warning countermeasures based on distraction level and drowsiness impairment. Enables the accommodation of impaired reaction time and the real time needs of the driver. Detects the onset of fatigue before the driver falls asleep at the wheel and loses control.

    9. 9 Delphi’s Driver State Monitor Visual monitoring of the driver Sensors and algorithms to detect and track driver’s head and eyes Ideal for automotive need: No calibration required Real-time processing Non-intrusive

    10. 10 Delphi’s Driver State Monitor Driver state information can be Used to generate effective and acceptable warnings to increase driver alertness and safety. Integrated with safety warning systems (e.g., forward collision warning systems) so that warning onset time and modality can be adjusted based on driver state to minimize annoyance, maximize user acceptance, and system effectiveness.

    11. 11 Summary Visual monitoring is one approach to detecting driver state Trade-off issues between safety benefits and driver acceptance Can partly be resolved through general education about the danger of driving when fatigued Should monitoring for drowsiness be limited to vehicles?

    12. 12 Further Information For further information regarding DSM Please contact Robert Dufour, Ph.D., Human Factors Engineer (robert.dufour@delphi.com) Gerald J. Witt, Manager, Advanced Driver Support Systems (gerald.j.witt@delphi.com)

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