Vehicle Safety Detection System Based On Radar And Sensor Fusion Modeling

Due to increased Flood traffic incidents and road threats,many studies have recorded many physical and human losses resulting from traffic accidents.Yemen is one of the countries with the largest number of highway accidents.Statistics and studies have indicated that hundreds of thousands of people are dying and even injured in these cases.In one year,the study found that between 100,000 and 150,000 people died as a result of traffic accidents caused by the main bridge.To solve this problem,we have worked on this thesis to provide a safety system in intelligent vehicles through data fusion and sensors.When applying the principle of integration of radar sensors and sensors used in vehicle safety systems in general and vehicle safety systems in particular,this will increase the reliability and accuracy of the radar system used to track vehicle speeds and the surrounding environment.The main research work in this thesis is summarized as follows:1)The problem of accuracy,reliability,and efficiency in the safety systems applied in modern vehicles is being studied.Some solutions that demonstrate access to advanced levels of improvement are discussed.2)Proposes an algorithm for the fusion of sensor data based on studied fusion levels and specific classification methods that will contribute to solving the problem which is being studied.The system is used as a special sensor integration mechanism for both the radar and the vision system.3)The proposed system is designed and evaluated.We note that we achieve more accuracy and overall performance as an efficiency case.A set of our simulations determines the optimal values for measuring the performance parameters in the system proposed in this study compared to the previous study.The first function is to simulate a system of interfaces related to the other function to perform the simulation in an easy and accurate manner.This function measures the accuracy of radar calculations through Doppler theory as well as the process of integrating sensor data through the rearview system in this step.Position and speed are determined in both linear and lateral scales.All these steps can be used to position the car and other information...