[1]肖 建,梁定康,徐 威,等.一种基于无人机的违章违停自主巡检系统[J].计算机技术与发展,2019,29(12):153-157.[doi:10. 3969 / j. issn. 1673-629X. 2019. 12. 027]
　XIAO Jian,LIANG Ding-kang,XU Wei,et al.A Self-inspection Violation System Based on UAV[J].,2019,29(12):153-157.[doi:10. 3969 / j. issn. 1673-629X. 2019. 12. 027]
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一种基于无人机的违章违停自主巡检系统()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
29
期数:
2019年12期
页码:
153-157
栏目:
应用开发研究
出版日期:
2019-12-10

文章信息/Info

Title:
A Self-inspection Violation System Based on UAV
文章编号:
1673-629X(2019)12-0153-05
作者:
肖 建; 梁定康; 徐 威; 郭宇锋
南京邮电大学 电子与光学工程学院,江苏 南京 210023
Author(s):
XIAO Jian; LIANG Ding-kang; XU Wei; GUO Yu-feng
School of Electronics and Optical Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210023,China
关键词:
无人机; 车牌识别; 检测; 违章违停; 自主
Keywords:
unmanned aerial vehicles (UAV); license plate recognition; detection; violation; autonomous
分类号:
TP393
DOI:
10. 3969 / j. issn. 1673-629X. 2019. 12. 027
摘要:
为确保道路行车通畅,对道路两侧违章违停的车辆进行及时查处非常重要。 针对现阶段车辆违章违停监管系统存在监控范围小、巡检效率低与实时性差等问题,研究实现了一种基于图像特征提取的无人机违章违停自主巡检系统。系统控制模块实现控制相机云台拍摄,并通过卫星定位模块区分禁停区域;无人机搭载的高清摄像头实时采集图像信息,并通过通信模块将采集的数据发送给检测分析主机,进而完成车辆目标识别、车牌识别以及远程通知车主的功能。 实验结果表明,该系统能够准确、高效地检测出违章违停车辆,完成车牌定位和字符识别的任务,根据车牌信息匹配车主并远程通知,改变了需要派遣交警进行人工实地查处的传统处理方式,能够帮助交管部门显著提升工作效率。
Abstract:
In order to ensure smooth road traffic,it is particularly important to investigate and deal with illegal parking vehicles on both sides of the road in a timely manner. Aiming at the problems of small monitoring range,low detection efficiency and poor real-time performance of the current vehicle parking violation monitoring system,an automatic inspection UAV (unmanned aerial vehicles) system based on image feature extraction is studied and implemented. The system control module is used to control camera rotational platform and distinguish the prohibited parking area by global positioning system module. The high-definition camera on the UAV captures imagedata in real time,and sends the collected video to the detection and analysis computer through the communication module. Then,vehicle target recognition,license plate recognition and notifying the owner of the illegal parking behavior remotely will be done. The experiment shows that the system can detect illegal parking vehicles accurately and efficiently,and can complete the tasks of license plate location and license plate character recognition. It can match and notify the owner according to the license plate information,which changes the traditional processing mode of dispatching traffic policemen to conduct manual investigation and can significantly improve the efficiency of traffic control department.

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[1]邹星.一种基于模板库的车牌字符识别算法[J].计算机技术与发展,2010,(04):128.
　ZOU Xing.A License Plate Character Recognition Arithmetic Based on Template Library[J].,2010,(12):128.
[2]杨述斌 张阳.复杂车辆图像中的车牌快速形态定位算法[J].计算机技术与发展,2008,(06):50.
　YANG Shu-bin,ZHANG Yang.Fast Morphological Locating Algorithm of Vehicle License Plate in Complex Vehicle Images[J].,2008,(12):50.
[3]宓浩 张燕平.基于特征投影和交叉覆盖神经网络的车牌识别[J].计算机技术与发展,2007,(10):76.
　MI Hao,ZHANG Yan-ping.License Plate Location Based on Projection Character and Alternate Covering Neural Network[J].,2007,(12):76.
[4]李波 曾致远 周建中 罗勤.车牌识别系统研究与实现[J].计算机技术与发展,2006,(06):10.
　LI Bo,ZENG Zhi-yuan,ZHOU Jian-zhong,et al.Study and Realization for License Plate Recognition System[J].,2006,(12):10.
[5]孟晓莉 赵安军 马光思.基于数学形态学的车牌定位研究与实现[J].计算机技术与发展,2010,(11):84.
　MENG Xiao-li,ZHAO An-jun,MA Guang-si.Car License Plate Location Research and Implementation Based on Mathematical Morphology[J].,2010,(12):84.
[6]孔超 高珏 陈开云[] 许华虎[].基于多特征的车辆一致性检测的研究与应用[J].计算机技术与发展,2012,(03):31.
　KONG Chao,GAO Jue,CHEN Kai-yun,et al.Target Multi-Feature Based Consistency Checking of Vehicles[J].,2012,(12):31.
[7]霍玲玲,徐文军,赵云青,等.嵌入式车牌识别系统的设计与实现[J].计算机技术与发展,2013,(04):206.
　HUO Ling-ling,XU Wen-jun,ZHAO Yun-qing,et al.Design and Implementation of an Embedded System of Vehicle License Plate Recognition[J].,2013,(12):206.
[8]刘静.基于最小二乘支持向量机车牌字符特征识别[J].计算机技术与发展,2013,(05):195.
　LIU Jing.LSSVM-based License Plate Character Feature Recognition[J].,2013,(12):195.
[9]张晓军,陆兴华.加入不确定扰动的无人机飞行轨迹跟踪控制[J].计算机技术与发展,2018,28(01):182.[doi:10.3969/ j. issn.1673-629X.2018.01.039]
　ZHANG Xiao-jun,LU Xing-hua.Flight Trajectory Tracking Control Algorithm for Unmanned AerialVehicle with Uncertain Disturbance[J].,2018,28(12):182.[doi:10.3969/ j. issn.1673-629X.2018.01.039]
[10]王俊明,曹科才,肖斌,等. 基于Paparazzi Lisa/M2.0的无人机自主飞行设计[J].计算机技术与发展,2016,26(05):197.
　WANG Jun-ming,CAO Ke-cai,XIAO Bin,et al. Design of Autonomous Flight for UAV Based on Paparazzi Lisa/M2.0[J].,2016,26(12):197.

更新日期/Last Update: 2019-12-10