TY - GEN
T1 - The BMW SURF project
T2 - 2007 IEEE Intelligent Vehicles Symposium, IV 2007
AU - Hoch, Stefan
AU - Schweigert, Manfred
AU - Althoff, Frank
AU - Rigoll, Gerhard
PY - 2007
Y1 - 2007
N2 - Within the last years, research in the field of cognitive vehicles has evolved to an important activity especially for car manufactures in the premium segment. Motivated by the robustness and flexibility of inter-human communication, highly integrated contextual awareness is being seen as a key component to provide an intuitive human-machine interface to the wide range of functions the driver is being confronted with in a modern driver's working place. In this work, we propose a highly flexible software architecture to develop and evaluate various services in the context of cognitive vehicle behaviour. The system has been implemented in an experimental car that is equipped with a wide range of sensors to acquire information from three sources: the car, the environment and the driver. Special efforts have been made to evaluate the performance and the potential of different driver monitoring approaches for the use in adaptive automotive applications, in both advanced driver assistance systems (ADAS) and in-vehicle information systems (IVIS). To evaluate the performance of our approach in detail, we have chosen an adaptive lane departure warning system. Different strategies for driver intention analysis are compared with regard to several criteria in a small evaluation study. The results clearly shows the importance and the potential of a complex contextual analysis for the emergence of future intelligent vehicle applications.
AB - Within the last years, research in the field of cognitive vehicles has evolved to an important activity especially for car manufactures in the premium segment. Motivated by the robustness and flexibility of inter-human communication, highly integrated contextual awareness is being seen as a key component to provide an intuitive human-machine interface to the wide range of functions the driver is being confronted with in a modern driver's working place. In this work, we propose a highly flexible software architecture to develop and evaluate various services in the context of cognitive vehicle behaviour. The system has been implemented in an experimental car that is equipped with a wide range of sensors to acquire information from three sources: the car, the environment and the driver. Special efforts have been made to evaluate the performance and the potential of different driver monitoring approaches for the use in adaptive automotive applications, in both advanced driver assistance systems (ADAS) and in-vehicle information systems (IVIS). To evaluate the performance of our approach in detail, we have chosen an adaptive lane departure warning system. Different strategies for driver intention analysis are compared with regard to several criteria in a small evaluation study. The results clearly shows the importance and the potential of a complex contextual analysis for the emergence of future intelligent vehicle applications.
UR - http://www.scopus.com/inward/record.url?scp=47849109244&partnerID=8YFLogxK
U2 - 10.1109/ivs.2007.4290197
DO - 10.1109/ivs.2007.4290197
M3 - Conference contribution
AN - SCOPUS:47849109244
SN - 1424410681
SN - 9781424410682
T3 - IEEE Intelligent Vehicles Symposium, Proceedings
SP - 692
EP - 697
BT - Proceedings of the 2007 IEEE Intelligent Vehicles Symposium, IV 2007
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 June 2007 through 15 June 2007
ER -