Paper Title:
A Measurement of Vehicle Attitude Using Single Tri-Axial Acceleration Transducer Based on ANN
  Abstract

Vehicle bodywork attitude measurement has been important in automotive technology. This paper presents a non-gyro bodywork attitude measurement program. Using a three-axis acceleration sensor output real-time body posture through BP neural network. Program skillfully made physical model and the algorithm simple according to the characteristics of motor cars. Taking advantage of the nonlinear function learning and generalization ability of ANN, the system made the input three-axis inertial acceleration values of harmful components filtered so as to mapoutput Attitude. And finally, it presents the data of experiments. By taking full advantage of ANN which precessing in parallel, and good at dealing with problem uncertainty, this program provides a solution of calculating real-time bodywork attitude, while with minimal hardware overhead.

  Info
Periodical
Edited by
Qi Luo
Pages
276-284
DOI
10.4028/www.scientific.net/AMM.55-57.276
Citation
L. M. Wu, L. K. Zhang, Y. Wang, "A Measurement of Vehicle Attitude Using Single Tri-Axial Acceleration Transducer Based on ANN", Applied Mechanics and Materials, Vols. 55-57, pp. 276-284, 2011
Online since
May 2011
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Price
$32.00
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