Effective Target Recognition In Front Of Adaptive Cruise System

As one of the important functions in the assisted driving system,the adaptive cruise system can greatly reduce the fatigue of the driver when driving the car for a long time,and can also provide the driver with more comfortable driving conditions.However,the most important thing about this function is the accuracy of the recognition of the front target.Only by accurately identifying the target in front and identifying a valid vehicle that needs to be tracked can the vehicle be fed back with information to ensure safe driving.For the identification process,when the millimeter wave radar is selected as the sensor,how to ensure the accuracy of the target recognition and the false alarms issued by the radar need to make certain judgments.To this end,this paper studies the effective targets in the front by using a single millimeter-wave radar.The specific research contents are as follows:(1)Through the real vehicle to open-loop data information collection and analysis and processing of the collected data,through analysis and judgment of the ability of the radar to identify the target,as well as the existence of data hopping,false,false negatives and other issues.Based on the results of the analysis,a certain filtering method is developed to solve the shortcomings of these aspects of the radar.Make a foundation for the specific identification of the next step.(2)By constructing the Simulink model of Kalman filter,the radar hopping and false targets are filtered out,and the extended Kalman filter model is built to estimate the relative acceleration between the car and the preceding car.In the screening of the specific target recognition,the nearest target in the own lane is selected as the main target of the identification by using the principle of distinguishing the lane width threshold and the closest distance to the lane.(3)By recording the track points when the preceding vehicle enters the curve,the coordinates are converted to predict the driving trajectory of the preceding vehicle and the curvature in the curve.The built Simulink model is converted into C code and burned into the MCU,and the program in the MCU is called by the built LabVIEW program to make the LabVIEW host computer display interface,so that the radar can be observed in real time.(4)The fuzzy logic control algorithm is used to identify the behavior of the side lane vehicles.Consider the relationship between the side lane vehicle and the own vehicle and the preceding vehicle.And to develop a recognition mode of the car under different conditions.Finally,through CarSim,the side lanes were verified.