DocumentCode :
174407
Title :
Towards a driver supervision and assistance system: intention detecting and option providing
Author :
Jiao Wang ; Soffker, D.
Author_Institution :
Dynamics & Control, Univ. of Duisburg-Essen, Duisburg, Germany
fYear :
2014
fDate :
5-8 Oct. 2014
Firstpage :
3966
Lastpage :
3971
Abstract :
With the increasing of automotive technology, the focus of vehicle developing has been changed from former basic needs of transportation to the additionally and enhanced requirements regarding to safety and efficiency. The cause of accidents is manifold. The inappropriate driving is one of the reasons. Additional effort understanding the driver´s intention in combination with extended sensor information allowing to match driver´s intention and real available options will be useful with respect to warning and intervention. Based on the Situation-Operator-Modeling (SOM), the intention of the driver can be detected. Once the intended action includes dangerous element, a warning will be provided to avoid the action really to be carried out. The other reason of accident is incomplete understanding about the available choices. Stimulated by daily life, the options can also be provided to the human driver during driving. Comparing the available choices and corresponding consequences, the suitable and efficient decision can be made. This contribution introduces a novel concept about providing warnings related to danger or wrong decision based on the calculation of intended actions and options to the driver to realize a novel online driver supervision system.
Keywords :
automobiles; driver information systems; road accidents; road safety; ADAS; SOM; advanced driver assistance system; automotive technology; driver intention detection; driver option provision; online driver supervision system; road accidents; road safety; situation-operator-modeling; Heuristic algorithms; Hidden Markov models; Numerical models; Prediction algorithms; Safety; Vehicle dynamics; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
Conference_Location :
San Diego, CA
Type :
conf
DOI :
10.1109/SMC.2014.6974551
Filename :
6974551
Link To Document :
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