The invention relates to a real-time abnormity alarm method and device for road condition monitoring, and the method comprises the steps: firstly obtaining road monitoring video data and laser radar data, and carrying out the target recognition, tracking and classification, and obtaining first feature information corresponding to the video data of a monitored object and second feature information corresponding to the radar data; fusing the first feature information and the second feature information to obtain third feature information of the monitored object; and finally, combining the third feature information with the position information of the high-precision map to judge whether the monitored object is in an abnormal state or not, and sending abnormal state information. According to the invention, detection and monitoring of road abnormity can be automatically calculated, so that the monitoring is more automatic.
本发明涉及一种路况监测的实时异常报警方法及装置,首先获取道路监控视频数据和激光雷达数据并分别进行目标识别、跟踪与分类,得到监控对象的视频数据对应的第一特征信息和雷达数据对应的第二特征信息;然后融合所述第一特征信息和第二特征信息,得到监控对象的第三特征信息;最后结合所述第三特征信息与高精度地图的位置信息判断所述监控对象是否有异常状态并发送异常状态信息。通过本发明可以自行计算道路异常的检测与监控,使得监控更为自动化。
Real-time abnormity alarm method and device for road condition monitoring
一种路况监测的实时异常报警方法及装置
2023-05-23
Patent
Electronic Resource
Chinese
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