Abstract
Nowadays, driving fatigue is one of the most important underlying causes of traffic safety. In order to pursue automotive driving safety, an image capture and processing system based on a high-speed digital signal processor DSP is proposed. The hardware compositions and software flow of the system are designed based on the analysis of the structure, working principle and the requirements include non-contact, real time and all-weather of an automated early warning system for driving fatigue; to achieve real-time processing of face images, cascade classifiers and gentleboost-based strong classifiers based on MBLBP features are used. An automated early warning system for driving fatigue based on DSP is designed and it can well complete real-time image capture and processing.
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© 2011 Springer-Verlag Berlin Heidelberg
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Jiang, L., Wang, H., Gao, S., Jiang, S. (2011). Research of the Automotive Driver Fatigue Driving Early Warning System. In: Zhang, J. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23235-0_50
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DOI: https://doi.org/10.1007/978-3-642-23235-0_50
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23234-3
Online ISBN: 978-3-642-23235-0
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