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A Statistical Approach for Real-Time Prognosis of Safety-Critical Vehicle Systems
Technical Paper
2007-01-1497
ISSN: 0148-7191, e-ISSN: 2688-3627
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English
Abstract
The paper describes the development of a vehicle stability indicator based on the correlation between various current vehicle chassis sensors such as hand wheel angle, yaw rate and lateral acceleration. In general, there is a correlation between various pairs of sensor signals when the vehicle operation is linear and stable and a lack of correlation when the vehicle is becoming unstable or operating in a nonlinear region. The paper outlines one potential embodiment of the technology that makes use of the Mahalanobis distance metric to assess the degree of correlation among the sensor signals. With this approach a single scalar metric provides an accurate indication of vehicle stability.
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Citation
D'Silva, S., Jalics, L., and Krage, M., "A Statistical Approach for Real-Time Prognosis of Safety-Critical Vehicle Systems," SAE Technical Paper 2007-01-1497, 2007, https://doi.org/10.4271/2007-01-1497.Also In
SAE 2007 Transactions Journal of Passenger Cars: Electronic and Electrical Systems
Number: V116-7; Published: 2008-08-15
Number: V116-7; Published: 2008-08-15
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