Implementation of a Self-Learning Route Memory for Forward-Looking Driving 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.
Anne Carlsson, Hans-Christian Reuss, Gerd Baumann
IVK, Institute for Internal Combustion Engines and Automotive Engineering, University of Stuttgart, Germany, FKFS, Research Institute of Automotive Engineering and Vehicle Engines Stuttgart, Germany
SAE World Congress & Exhibition
Intelligent Vehicle Initiative (IVI) Technology Controls and Navigation Systems, 2008-SP-2193, SAE International Journal of Passenger Cars - Electronic and Electrical Systems-V117-7EJ, SAE International Journal of Passenger Cars - Electronic and Electrical Systems-V117-7