Steering wheel angle filtering based on wavelet transform

Wei Chen; Xu Li; Xiang Song; Jiahe Yu; Weigong Zhang

doi:10.1117/12.905932

28 October 2011 Steering wheel angle filtering based on wavelet transform

Wei Chen, Xu Li, Xiang Song, Jiahe Yu, Weigong Zhang

Proceedings Volume 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization; 82051B (2011) https://doi.org/10.1117/12.905932
Event: 2011 International Conference on Photonics, 3D-imaging, and Visualization, 2011, Guangzhou, China

Abstract

Traditional filtering methods can't eliminate the effect of interfering signals on steering wheel angle and extract useful signal effectively.Regarding to this, a new method based on wavelet transform is presented.According to the Mallat algorithm, firstly, the signal is decomposed into seven layers by selecting db7 wavelet.Aiming at every layer detail signal after wavelet decomposing, the soft-threshold filtering method is employed to eliminate noises, then the inverse wavelet transform is used to reconstruct the filtered signal.The experimental results show that this method can effectively eliminate awful noises and achieve a good performance.

Citation Download Citation

Wei Chen, Xu Li, Xiang Song, Jiahe Yu, and Weigong Zhang "Steering wheel angle filtering based on wavelet transform", Proc. SPIE 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization, 82051B (28 October 2011); https://doi.org/10.1117/12.905932

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