The invention discloses a traffic monitoring compound eye dynamic identification traffic accident self-evolution system, which comprises a monocular traffic accident discrimination detection system, aregional self-organizing compound eye accurate identification system, a traffic field knowledge base and a cloud control decision center, wherein the monocular traffic accident discrimination detection system is used for detecting and analyzing the traffic flow of a traffic road, identifying abnormal vehicles and reporting the abnormal vehicles to the regional self-organizing compound eye accurate identification system, and the regional self-organizing compound eye accurate identification system is used for judging the credibility of traffic accidents according to the information of the abnormal vehicles, and after the credibility of the traffic accidents is greater than a threshold value, reporting the credibility to the cloud control decision center. The abnormal vehicles suspected to have traffic accidents are checked out through the monocular traffic accident discrimination detection system, and then the credibility of traffic accidents is accurately discriminated by the regionalself-organizing compound eye accurate identification system in combination with prior traffic knowledge, so that the traffic accidents can be accurately identified, and the efficiency and accuracy oftraffic accident identification are improved.
本发明公开了一种交通监控复眼动态识别交通事故自我进化系统,该系统包括单眼交通事故甄别检测系统、区域自组织复眼精准识别系统、交通领域知识库和云控制决策中心,单眼交通事故甄别检测系统用于检测分析交通道路的交通流量,识别异常车辆,上报给区域自组织复眼精准识别系统,区域自组织复眼精准识别系统用于根据异常车辆的信息判断发生交通事故的可信度,并在发生交通事故的可信度大于阈值后,上报给云控制决策中心。通过单眼交通事故甄别检测系统先检查出疑似交通事故的异常车辆,然后再由区域自组织复眼精准识别系统结合先验交通知识来准确判别交通事故发生的可信度,从而可以精确的识别出交通事故,提供了交通事故识别的效率和准确率。
Traffic monitoring compound eye dynamic identification traffic accident self-evolution system
一种交通监控复眼动态识别交通事故自我进化系统
08.12.2020
Patent
Elektronische Ressource
Chinesisch
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