Traffic behavior perception fusion system and method based on multi-source heterogeneous information

Abstract

The invention discloses a traffic behavior fusion system based on multi-source heterogeneous sensor information. The traffic behavior fusion system comprises an information acquisition unit, a multi-source information database, a traffic behavior matching unit, a behavior fusion unit and a traffic behavior output unit. The invention further provides a fusion method based on the fusion system, existing various sensors are used as multi-source information acquisition equipment, detected traffic behaviors are collected to the multi-source information database, the multi-source information database carries out data space-time synchronization and redundancy processing on the acquired multi-source information, and a detection target and the traffic behaviors of the detection target are distinguished. And then behavior fusion is performed on the traffic behaviors detected by the information sources, so that the current traffic behavior is further determined, the speed and accuracy of trafficbehavior identification are improved, and the fitness of the traffic behavior identification in a bad detection environment is enhanced.

Description

technical field [0001] The invention relates to the technical field of traffic behavior perception, in particular to a traffic behavior perception fusion system and method based on multi-source heterogeneous information. Background technique [0002] With the rapid development of behavior detection technology, there are more and more cases of using pictures, videos, radar and other technologies to monitor traffic behavior. In the existing radar-video integrated system, radar and video detect the physical parameters of the target separately, and then at the parameter level De-fusion to achieve behavior detection, and these single technologies are prone to missed detection or false alarms of traffic behavior in complex situations such as vehicle occlusion, light changes, clutter interference, and severe weather such as rain, snow, and smog. Contents of the invention [0003] In view of the problems existing in the prior art, the purpose of the present invention is to provide...

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Problems solved by technology

[0002] With the rapid development of behavior detection technology, there are more and more cases of using pictures, videos, radar and other technologies to monitor traffic behavior. In the existing radar-video integrated system, radar and video detect the physical parameters of the target separately, and then at the parameter level De-fusion to achieve behavior detection, and these single technologies are prone to missed detection or false alarms of traffic behavior in complex situations such as vehicle occlusion, light changes, clutter interference, and severe weather such as rain, snow, and haze

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