Intelligent Monitoring and Adaptive Competence Assignment for Driver and Vehicle

This paper presents a concept for achieving higher safety in road traffic by addressing long and short term reduced capability of the driver in regard to his driving task. Pivot point of the proposed concept is the continuous monitoring of the driver and the vehicle's state and their competence assignment. For this purpose, the driver and vehicle will be treated as one system and regarded under cybernetic aspects. For estimation of the driver's condition or capability respectively, an approach is suggested, which combines data of the vehicle sensory equipment with methods for monitoring drivers.

[1]  P. Waltermann Modelling and control of the longitudinal and lateral dynamics of a series hybrid vehicle , 1996, Proceeding of the 1996 IEEE International Conference on Control Applications IEEE International Conference on Control Applications held together with IEEE International Symposium on Intelligent Contro.

[2]  J. Wernstedt,et al.  INVESTIGATIONS OF THE COMPETENCE OF MAN AS A COMPONENT OF MAN–MACHINE SYSTEMS ON THE BASE OF PILOT PERFORMANCE , 1990 .

[3]  Osama Masoud,et al.  Vision-based methods for driver monitoring , 2003, Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems.

[4]  R. Onken DAISY, an adaptive, knowledge-based driver monitoring and warning system , 1994, Proceedings of the Intelligent Vehicles '94 Symposium.

[5]  K. Todd,et al.  Drowsy driving and automobile crashes , 1998 .

[6]  Tim Horberry,et al.  REVIEW OF FATIGUE DETECTION AND PREDICTION TECHNOLOGIES , 2000 .

[7]  Evangelos Bekiaris,et al.  User centred HMI development in the AWAKE - project , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[8]  Stephen Yurkovich,et al.  Fuzzy Control , 1997 .

[9]  D. R. O W S Y D R I V I N G A N D A U T O M O B,et al.  DROWSY DRIVING AND AUTOMOBILE CRASHES , 2022 .

[10]  Manfred Mitschke,et al.  Dynamik der Kraftfahrzeuge , 1972 .