| 超声车辆检测的状态机算法 |
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| 引用本文： | 陈春光,张足生,于峰崎. 超声车辆检测的状态机算法[J]. 国外电子元器件, 2013, 0(23): 134-136,140 |
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| 作者姓名： | 陈春光 张足生 于峰崎 |
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| 作者单位： | [1]广东工业大学自动化学院,广东广州510006 [2]中国科学院深圳先进技术研究院集成电子研究中心,广东深圳518055 [3]香港中文大学中,国香港999077 |
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| 基金项目： | 广东省与中科院战略合作项目（2009B091300070）;深圳市重点实验室提升项目（CXB201104220033A） |
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| 摘 要： | 车辆检测现在主要应用到的有红外、地磁、视频和超声波等几种技术,它们各自都具有优缺点.文中分析并设计了一种基于HY-SRF05超声波模块的车辆检测算法：状态机检测算法.该算法能对检测车辆的阀值进行动态的更新,达到准确高效的检测效果.同时,该算法也适用于中、大型停车场的车辆诱导系统和公路上交通车流量的检测.
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| 关 键 词： | 超声波 状态机 准确高效 车辆检测算法 |
Ultrasound vehicle detection algorithm based on the state machine mechanism |
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| CHEN Chun-guang,ZHANG Zu-sheng,YU Feng-qi. Ultrasound vehicle detection algorithm based on the state machine mechanism[J]. International Electronic Elements, 2013, 0(23): 134-136,140 |
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| Authors: | CHEN Chun-guang ZHANG Zu-sheng YU Feng-qi |
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| Affiliation: | 1. Institute of Automation ,Guangdong University of Technology, Guangzhou 510006, China; 2. Integrated Electronic Research Center, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen 518055, China; 2. The Chinese University of Hong Kong, Hong Kong 999077, China) |
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| Abstract: | Today, infrared, magnetic, video and ultrasonic are mainly applied to vehicle detections. They each have advantages and disadvantages. This paper analyzes and designs a kind of vehicle detection algorithm that vehicle detection by state machine algorithm base on HY-SRF05 ultrasonic module. The algorithm can detect vehicle threshold dynamic update, to achieve accurate and efficient detection effect. At the same time, the algorithm is also applicable to medium and large vehicles parking guidance system and road traffic vehicle flow detection. |
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| Keywords: | ultrasonic state machine accurate and efficient vehicle detection algorithm |
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