基于视频的交通安全预警系统研究
发布时间:2018-04-17 10:03
本文选题:交通安全预警 + 事件检测 ; 参考:《长安大学》2014年硕士论文
【摘要】:在交通生活中,人、车、路、环境是影响交通安全的四个重要因素,因此建立一种有效的交通安全预警系统,实现对上述因素的准确检测和及时预警,从而指导驾驶者安全驾驶以及交通管理部门的有效管理,是智能交通领域的研究重点之一。论文结合机器视觉感知、模式识别、信息融合等技术,提出了一种基于交通视频检测的交通预警系统方案,实现对影响交通安全的异常事件的准确检测和主要交通参数的提取,并对驾驶者及时发出安全预警。 本系统由交通事件检测系统及车路通信系统组成。在事件检测系统中,,采用图像处理技术对交通视频图像进行处理,实现了对逆行、行人、抛落物、停车、拥堵五种交通事件的检测,同时对车流量、车速等交通状况参数进行提取;采用基于D-S证据理论的信息融合与决策机制实现时空动态交通状态信息的采集和融合及交互处理。在车路通信系统中,采用RFID路侧读写器对车辆进行认证、注册,完成组网,同时完成一次性交通状况发布;采用zigbee无线通信装置作为DSRC通信模块实现服务器和车载终端之间的短距离无线信息传输,将检测结果及车辆信息以图文形式通过车载终端实时传递给驾驶者。 该系统已经完成实验室环境下的系统搭建以及相关功能和性能方面的测试。测试结果显示,论文所述解决方案以及相关算法可有效及时的检测到交通场景中的事件,并且能够正确的区分出不同事件,满足交通生活中的安全预警功能。
[Abstract]:In traffic life, people, cars, roads and environment are four important factors that affect traffic safety. Therefore, to establish an effective traffic safety early warning system to realize the accurate detection and timely warning of the above factors,It is one of the key research points in the field of intelligent transportation to guide drivers to drive safely and to manage traffic management effectively.Based on the technology of machine vision, pattern recognition and information fusion, this paper proposes a traffic early warning system based on traffic video detection, which can detect the abnormal events and extract the main traffic parameters.And the driver issued a timely safety warning.The system consists of traffic incident detection system and vehicular communication system.In the event detection system, the traffic video image is processed by image processing technology, which can detect five kinds of traffic events, such as retrograde, pedestrian, drop object, parking, congestion, and at the same time, the traffic flow.The information fusion and decision mechanism based on D-S evidence theory is used to realize the collection, fusion and interactive processing of space-time dynamic traffic state information.In the vehicle-road communication system, the RFID road side reader is used to authenticate, register, complete the network, and at the same time complete the one-time traffic status issue;The zigbee wireless communication device is used as the DSRC communication module to realize the short distance wireless information transmission between the server and the vehicle terminal. The detection results and the vehicle information are transmitted to the driver through the vehicle terminal in the form of graph and text.The system has been completed in the laboratory environment and related functions and performance tests.The test results show that the proposed solutions and related algorithms can effectively and timely detect the events in the traffic scene, and can correctly distinguish different events to meet the safety early warning function in traffic life.
【学位授予单位】:长安大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:U495
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相关期刊论文 前2条
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2 杨秋萍;李疆;;基于ARM-linux智能车载信息终端的设计[J];科技信息;2012年30期
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