Making driver modeling attractive

Automobile industry and academic researchers expend considerable effort to develop driver assistance systems. DASs are aware of certain driving situations and support drivers through information, warnings, or even intervention. Many DAS applications are safety oriented, such as lane departure warnin...

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Bibliographic Details
Published in:IEEE intelligent systems 2005-03, Vol.20 (2), p.8-12
Main Authors: Pellecchia, A., Igel, C., Edelbrunner, J., Schoner, G.
Format: Article
Language:English
Subjects:
Acceleration
Algorithms
Artificial intelligence
Automobile driving
driver assistance systems
driver models
dynamical systems
evolutionary algorithms
Evolutionary computation
Intelligent systems
Intelligent vehicles
Permission
Road vehicles
Robotics
Safety
Traffic control
Vehicle driving
Vehicle dynamics
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Summary:Automobile industry and academic researchers expend considerable effort to develop driver assistance systems. DASs are aware of certain driving situations and support drivers through information, warnings, or even intervention. Many DAS applications are safety oriented, such as lane departure warning systems. Some are comfort oriented, such as automated parking assistants. Moreover, DAS human-machine interfaces must support careful communication with potentially taxed drivers. Driver models support DAS design in several ways. Our work focuses on modeling the tactical level of driving decisions, such as when to brake and whether to accelerate and pass another vehicle. Such decisions are based on local, instantaneously available environmental information about the road and other cars in the same or an adjacent lane.
ISSN:1541-1672
1094-7167
1941-1294
DOI:10.1109/MIS.2005.31