A Vehicle On-Board Alcohol Detection System Based on Integrated Multi-Sensors

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Abstract:

A design and implementation of a detection system for dangerous driving was proposed based on multi-sensor-fusion. It is actually an embedded system consisting of visual,sensor, acceleration sensor, alcohol sensor input, and ARM cortex-M3 microcontroller. Experiment results show that the system has high linearity, high sensitivity,and excellent real-time performance. It can be further used to validate the multi-sensor information fusion algorithms in the field for improving the low reliability of the current detection by using one single-sensor method

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Periodical:

Advanced Materials Research (Volumes 490-495)

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91-94

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March 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] J. L. Xu, J. F. Han. Application of smart in automobile. Transducer and Microsystem Technologies, Vol. 28 (2009), pp.5-8, in Chinese.

Google Scholar

[2] T. Zhan, Z. S. Cai. A detection system for dangerous driving actions based on multi-sensor information fusion. Automobile Parts, Vol. 7 (2011), pp.54-57, in Chinese.

Google Scholar

[3] J. L. Xu, J. F. Design of car alcohol test system based on multi-sensor data fusion. Instrument Technique and Sensor, Vol. 7 (2010), pp.105-107, in Chinese.

Google Scholar

[4] A. Q. Wang, Vehicle safety application of new technology and its development trend. Technology and Economy in Areas of Communication, Vol. 4 (2008), pp.66-67, in Chinese.

Google Scholar

[5] Y.S. Wang. Multisensor data fusion for automotive engine fault diagnosis. Tsinghua Science and Techonolgy, Vol. 9 (2004), pp.58-61, in Chinese.

Google Scholar

[6] R. Loloee, B. Chorpening, S. Beer. Hydrogen monitoring for power p lant app lications using SiC sensors. Sensors and Actuators B, Vol. 129 (2008), pp.200-210.

DOI: 10.1016/j.snb.2007.07.118

Google Scholar

[7] J. W. Cai, T. Liu, P. S. Zhang. A quasi-distributed dynamic and static strain sensor system. Op-toelectronics Letters, Vol. 4 (2008), pp.244-245, in Chinese.

Google Scholar

[8] Information on http: /www. in technoconsulting. com.

Google Scholar