基于红外检测和压电传感相结合的车型自动分类技术研究

【作者】 徐威；

【导师】 顾国华；

【作者基本信息】 南京理工大学 ， 物理电子学， 2004， 硕士

【摘要】 智能交通系统是未来交通发展的必然趋势，其关键技术—车型自动识别的研究具有深远的意义。本文在分析了现阶段多种车型自动识别的基础上，设计了红外探测器+压电传感器的复合式车型识别系统。用压电传感器来实现多种车辆特征的测量，包括车辆的轮数、轴数。用单列的垂直摆放的红外探测器测量车高，使系统大为简化。将红外探测器与压电传感器得到的大量的有效特征信息进行融合，运用统计模式识别与模糊模式识别的理论来识别车型，达到了相当高的准确度。最后，文章对动态称重系统进行了较为深入的技术理论与实现方法的研究。更多还原

【Abstract】 Intelligent Transportation System is necessary for the future traffic and the key is Automatic Vehicle Identification (AVI). Being based on several methods of AVI this thesis designs a compound system using infrared detector and piezoelectricity sensor. It is original to use piezoelectricity sensor getting the vehicular information including the number of tyre and axle. Design to use a single line of infrared detector getting the high of the vehicle. This design predigests the system greatly. The vehicle information from the infrared detector and piezoelectricity sensor is amalgamation. The vehicle would be identified by using statistic pattern recognition and fuzzy pattern recognition. The nicety of judgment of this system is very good. Finally, this thesis researches the theory of Weight-In-Motion.更多还原