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Implementation of a Self-Learning Route Memory for Forward-Looking Driving
- Gerd Baumann - FKFS, Research Institute of Automotive Engineering and Vehicle Engines Stuttgart, Germany ,
- Anne Carlsson - IVK, Institute for Internal Combustion Engines and Automotive Engineering, University of Stuttgart, Germany ,
- Hans-Christian Reuss - IVK, Institute for Internal Combustion Engines and Automotive Engineering, University of Stuttgart, Germany
ISSN: 1946-4614, e-ISSN: 1946-4622
Published April 14, 2008 by SAE International in United States
Citation: Carlsson, A., Reuss, H., and Baumann, G., "Implementation of a Self-Learning Route Memory for Forward-Looking Driving," SAE Int. J. Passeng. Cars - Electron. Electr. Syst. 1(1):62-70, 2009, https://doi.org/10.4271/2008-01-0197.
In this paper it will be shown how a database containing information of the road characteristics of a frequently driven route can be automatically generated and continually updated in a vehicle during each drive. The contained information can be used as foresight information in predictive driving strategies. By using only drive train information, standard sensors (e.g. from ESC and ABS), and a GPS relevant road characteristics (curves, slopes, speed limits, etc) can be identified during the drive, stored in an on-board database, and used to optimize fuel consumption or driving comfort in subsequent trips along the route. The system is verified using a driving simulator with a 3D surround graphics system.