DocumentCode
2012718
Title
Supervisory vehicle impact anticipation and control of safety systems
Author
Prakah-Asante, Kwaku O. ; Rao, Mike K. ; Morman, Kenneth N. ; Strumolo, Gary S.
Author_Institution
Ford Res. Lab., Ford Motor Co., Dearborn, MI, USA
fYear
2001
fDate
2001
Firstpage
326
Lastpage
330
Abstract
Occupant safety systems are incorporated in vehicles to meet the requirements of occupant protection. For optimum performance safety devices require tailored activation. This paper presents a supervisory control approach using predictive collision sensor information to augment the performance of safety systems. The supervisory approach determines the potential for a collision to occur, and assists in deployment decision-making. Decision-making is based on the obstacle range, and closing velocity information obtained from the anticipatory sensor, and a reference signal indicative of the host-vehicle deceleration. The multi-input supervisory control system consists of a fuzzy rule-based system, which determines the potential for a collision to occur, and deployment command generation for activation of respective safety devices
Keywords
automotive electronics; fuzzy control; intelligent control; safety systems; spatial variables measurement; closing velocity information; deployment command generation; fuzzy rule-based system; host-vehicle deceleration; multi-input supervisory control system; obstacle range; occupant protection; optimum performance; predictive collision sensor information; reference signal; supervisory control; supervisory vehicle impact anticipation; vehicle occupant safety system control; Control systems; Decision making; Fuzzy control; Protection; Radar; Safety devices; Supervisory control; Vehicle crash testing; Vehicle safety; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 2001. (ISIC '01). Proceedings of the 2001 IEEE International Symposium on
Conference_Location
Mexico City
ISSN
2158-9860
Print_ISBN
0-7803-6722-7
Type
conf
DOI
10.1109/ISIC.2001.971530
Filename
971530
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