Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Recognition of Driving Patterns Using Accelerometers

가속도센서를 이용한 운전패턴 인식기법

  • 허근섭 (경북대학교 기계공학부 대학원) ;
  • 배기만 (경북대학교 기계공학부 대학원) ;
  • 이상룡 (경북대학교 기계공학부) ;
  • 이춘영 (경북대학교 기계공학부)
  • Received : 2010.03.15
  • Accepted : 2010.04.30
  • Published : 2010.06.01
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Abstract

In this paper, we proposed an algorithm to detect aggressive driving status by analysing six kinds of driving patterns, which was achieved by comparing for the feature vectors using mahalanobis distance. The first step is to construct feature matrix of $6{\times}2$ size using frequency response of the time-series accelerometer data. Singular value decomposition makes it possible to find the dominant eigenvalue and its corresponding eigenvector. We use the eigenvector as the feature vector of the driving pattern. We conducted real experiments using three drivers to see the effects of recognition. Although there exists differences from individual drivers, we showed that driving patterns can be recognized with about 80% accuracy. Further research topics will include the development of aggressive driving warning system by improving the proposed technique and combining with post-processing of accelerometer signals.

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References

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