The Research About Automobile Front Dangerous State Assessment And Automatic Emergency Braking Control Strategy

In recent years,the increasing number of motor vehicles in the country has led to traffic accidents becoming a major problem that plagues people.According to the analysis of the causes of road traffic accidents,drivers are often the main cause of traffic accidents,such as fatigue driving,lack of concentration,drunk driving,speeding,illegal driving,and so on.Therefore,the automotive safety assistance driving technology has been widely used.As one of the important components of advanced safety assisted driving technology,the automatic emergency braking system adopts different braking measures to assist the driver to brake by sensing the road driving environment of the vehicle,avoiding or reducing traffic accidents and reducing the loss of life and property.In this paper,the vehicle in front is visually inspected by monocular vision,and the dangerous state assessment is carried out on the front.An automatic emergency braking control strategy is formulated to prevent traffic accidents and improve driving safety.The main research work of this paper is as follows:1.Research on front vehicle detection based on monocular vision.The vehicle information is collected by monocular vision,and the region of interest is established after image preprocessing.The HOG feature and the Adaboost cascade classifier are combined to complete the detection of the vehicle in front,and the tracking is performed by the Kalman filter principle.The principle of small hole imaging calculates the distance between the vehicle and the vehicle in front,and calculates the speed of the preceding vehicle according to the monocular speed.2.Research on dangerous state assessment in front of a vehicle based on collision time.The collision time-based hazard assessment method needs to establish the safety distance model by analyzing the influence of the driver,the vehicle itself and the driving environment factors on different braking stages,and then set the collision time threshold according to the safety distance model,and make different according to different thresholds.Automatic emergency brake control strategy.Through MATLAB/Simulink and PreScan software,the simulation of different driving conditions of urban road driving environment is carried out.3.Research on the assessment of dangerous state in front of vehicles based on collision probability.When considering the distance measurement,there may be some influence on the result.In this paper,the dangerous state in front of the car is evaluated by probabilistic method.The probability density function of the vehicle position is established according to the uncertainty of the vehicle and the trajectory of the preceding vehicle.The Monte Carlo method is used to calculate the vehicle.The magnitude of the collision probability is used as the risk assessment criterion to judge the degree of danger of the vehicle,and the corresponding automatic emergency braking strategy is made according to the degree of danger,and verified by simulation.Two evaluation methods are used to characterize the dangerous state in front of the vehicle through the setting of the collision time threshold and the distribution of the collision probability,and then the corresponding automatic emergency braking control strategy is formulated,and the safety and reliability are verified in different simulation environments.This paper has a positive impact on the further development of an automatic brake control system based on the dangerous state in front of the car.