DocumentCode :
3648364
Title :
ADES: Automatic Driver Evaluation System
Author :
Kemal Kaplan;Caner Kurtul;H. Levent Akin
Author_Institution :
Department of Computer Engineering, Boğ
fYear :
2012
fDate :
7/1/2012 12:00:00 AM
Firstpage :
442
Lastpage :
447
Abstract :
Most of the traffic accidents occurred in the world and in our country are caused by the drivers. ADES (Automatic Driver Evaluation System) project targets to present a framework for integrating different applications for driver evaluation purpose. The proposed system can be divided into two main modules. The first one, which is the data acquisition and processing module, acquires the sensor information from the outside world and process this data for presenting valuable information to the decision system. The system may benefit from standard vehicle sensors like cameras or GPS (Global Positioning System) systems as well as non standard devices like RFID (Radio Frequency Identification) readers. The second module is the inference engine, which processes the information provided by the first module and makes judgments about the actions of the driver. A sample implementation of the proposed framework is also tested in the simulation environment and by using real video recordings.
Keywords :
"Vehicles","Engines","Expert systems","Accidents","Radio frequency","Roads","Detectors"
Publisher :
ieee
Conference_Titel :
Vehicular Electronics and Safety (ICVES), 2012 IEEE International Conference on
Print_ISBN :
978-1-4673-0992-9
Type :
conf
DOI :
10.1109/ICVES.2012.6294271
Filename :
6294271
Link To Document :
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