Intelligent traffic accident processing method and device

Abstract

The invention discloses an intelligent traffic accident processing method and device. The method comprises the steps that S1, an intelligent traffic robot obtains the position information of a traffic accident, autonomously plans a route according to the position information, and carries an unmanned plane to achieve the position of the traffic accident through self-cruising; S2, the unmanned aerial vehicle takes accident scene pictures from the air, the intelligent traffic robot takes accident scene pictures from the ground, the taken accident scene pictures are imported into a trained neural network model, the neural network model identifies accident types and divides accident responsibilities, and the neural network model is carried on the intelligent traffic robot; and S3, the intelligent traffic robot enables the accident types identified by the neural network model and the divided accident responsibilities to be confirmed by accident related parties through a man-machine interaction screen on the intelligent traffic robot. According to the invention, rapid processing of traffic accidents is realized, manual screening and discrimination processing is generally not needed in the processing process, and subjectivity of manual intervention is avoided.

Description

technical field [0001] The invention relates to the technical field of intelligent traffic, in particular to a method and device for handling intelligent traffic accidents. Background technique [0002] The intelligent transportation system is an important part of the future smart city, and the intelligent emergency response to traffic accidents directly improves the traffic efficiency. Image recognition technology is generally used in the recognition of license plates, but the application in unmanned driving is not mature enough, and the application in autonomous judgment of traffic accidents is even more lacking. [0003] An existing emergency response system for smart city traffic emergencies based on online forensics of UAVs firstly conducts a preliminary judgment on tasks, and tasks that do not require dispatching police officers use UAVs to conduct on-site forensic sampling at the scene of the incident. For incidents that require deployment of personnel, police office...

AI Technical Summary

Problems solved by technology

However, it is not easy to quantitatively define the standard for the initial judgment of whether to dispatch police officers. In reality, most accidents involve disputes and need to be handled by third-party personnel on the spot. This plan has limited reduction in the workload of police officers.

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