Recognition And Response Analysis Of Vehicle Collision With Bridge Based On Computer Vision

With the continuous expansion of road transportation,urban population and scale,the development of cross-bridge,viaduct and other three-dimensional traffic has become an important means to solve the traffic pressure.However,due to the reasons of vehicle transportation,traffic supervision,bridge design and so on,the accident of vehicle collision of bridge occurs from time to time,and the traditional manual detection method can not meet the actual demand.The abnormal condition recognition based on computer vision can intelligently identify the event in the video by intelligent analysis and other methods.The system can detect whether there is a vehicle-bridge collision accident by cyclic calculation of the condition of the car in the continuous multi-frame image in the monitoring period,and realize the real-time detection of the speed.In this paper,the target detection and target tracking algorithm based on video is used to realize the vehicle impact on the bridge and the vehicle speed measurement,and the dynamic response of the bridge structure due to impact load is analyzed.The main research contents of this paper include:This paper proposes a method for detecting abnormal accidents of vehicle collisions with bridges based on target detection algorithm.First,a dataset of road vehicles and abnormal vehicles is constructed,and the dataset is expanded to avoid over-fitting in order to improve the accuracy of the detection model.Based on the YOLO v5 target detection algorithm,the detection of road vehicle moving targets is realized.The target detection model can detect the road vehicles in the video image sequence and return to the coordinate position of the detection frame.For the determination of the occurrence of abnormal accidents of vehicles hitting the bridge,a detection line shall be drawn on the bridge guardrails,bridge piers and other structural parts that are vulnerable to impact.By judging the positional relationship between the target representative point coordinates obtained by the target detection system and the detection line equation coordinates,it is determined whether the vehicle-bridge collision occurs.The target vehicle is tracked on the basis of vehicle detection,and the Deep SORT algorithm is used to track the road moving target.The key to the target tracking algorithm is to realize the associated matching of the detected targets in two adjacent frames.The Kalman filtering is used to predict the state information of the object at the next moment,and the Hungarian Algorithm is used to measure the matching degree between the detected targets in two adjacent frames.The center of the detection frame returned by the target detection in each frame is selected as the representative point,and the position coordinates of the representative point in each frame of the image are obtained through the target detection model.The single-view measurement method is used to complete the conversion between the image coordinate system and the actual coordinate system,and then calculate the speed of the vehicle,and display the speed when the vehicle hits the bridge.The dynamic response of the bridge under impact load is studied.According to the momentum and energy principle and empirical formula method,the existing calculation and analysis methods of impact force are summarized,and analyzed the relevant domestic and foreign codes about the calculation method and the value of the code of the impact force of the car crashing the bridge.Using Eurocodes for reference,a half-sine curve is proposed to describe the time history curve of the impact force.With reference to the indicative data of collision force calculation mentioned in the specification,through finite element simulation,the bridge response under vehicle impact is analyzed.