DocumentCode :
3516957
Title :
Smart Distance Keeping: Modeling and Perspectives for Embedded Diagnosis
Author :
Shraim, Hassan ; Nasri, Othman ; Dague, Philippe ; Heron, Olivier ; Cartron, Mickael
Author_Institution :
INRIA, Univ. of Paris-Sud 11, Orsay, France
fYear :
2010
fDate :
27-29 Jan. 2010
Firstpage :
250
Lastpage :
255
Abstract :
This paper presents a detailed description of an advanced Adaptive Cruise Control (ACC) system implemented on a Renault-Volvo trucks vehicle. One of the main differences between this new system, which is called the Smart Distance Keeping (SDK), and the classical ACC is the choice of the safe distance. This later is the distance between the vehicle (with the ACC or the SDK system) and the front obstacle (which may be a vehicle). It is supposed fixe in the case of the ACC, while variable in the case of the SDK. The variation of this distance (in the case of SDK) depends essentially on the relative velocity between the vehicle and the front obstacle. The main contribution of this work is on the SDK system architecture, the design of its environment model, and the proposition of a detection and isolation strategy for some of the possible faults that may be produced on the system.
Keywords :
adaptive control; fault diagnosis; road traffic; road vehicles; velocity control; Renault-Volvo trucks vehicle; advanced adaptive cruise control system; embedded diagnosis; fault detection strategy; fault isolation strategy; smart distance keeping system architecture; Adaptive control; Automatic control; Automation; Fault detection; Fault diagnosis; Intelligent vehicles; Programmable control; Redundancy; Switches; Vehicle driving; Smart Distance Keeping (SDK); fault diagnosis; vehicle modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems, Modelling and Simulation (ISMS), 2010 International Conference on
Conference_Location :
Liverpool
Print_ISBN :
978-1-4244-5984-1
Type :
conf
DOI :
10.1109/ISMS.2010.54
Filename :
5416087
Link To Document :
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