Research On Intelligent Vehicle Assisted Driving Technology

With the continuous improvement of people's material living standards,car ownership has also increased significantly.Having a car not only brings convenience to people's travel,but it also brings about frequent traffic accidents,resulting in casualties and major economic losses.The driverless smart car can not only effectively avoid fatigue driving and many traffic accidents caused by improper handling of accidents,but also provide private travel driving services for those who are unable to drive their own cars,thus improving their happiness index.As a research hotspot,the smart car is currently being researched in all aspects at home and abroad.This paper only selects the smart car assisted driving technology and selects the intelligent car obstacle avoidance technology and the following technology for analysis and research.In the process of obstacle avoidance of smart cars,obstacle information must first be collected.In this paper,the sensor information fusion technology is used to fuse the information collected by the ultrasonic sensor and the visual sensor,and combine the advantages of both ultrasound and vision to realize the real-time and effectiveness of information collection,and provide accurate identification and location information for obstacles.The data.In the intelligent car obstacle avoidance control algorithm,this paper designs a smart car obstacle avoidance control algorithm based on the difference of obstacles encountered in the process of smart car driving,using improved artificial potential field method and fuzzy control algorithm.The algorithm is verified by MATLAB.The verification results show that combining the two obstacle avoidance control algorithms can effectively make up for the shortcomings of the single algorithm and achieve the expected obstacle avoidance behavior.According to the different situations of obstacles in the obstacle avoidance process,the experimental vehicle verification system was built and the algorithmwas verified on the experimental car.The verification results show that the designed obstacle avoidance algorithm is basically reasonable.In the research of following technology,the mathematical model of safety distance is established.Based on this,the algorithm model of following system is designed.The model of the system is verified by carsim and simulink.The verification results show that the design of this paper The following system is reasonable and feasible.Finally,the carsim animation platform is used as the follow-up technology verification platform.The rationality of the follow-up system design is further verified by the algorithm model data combined with the animation effect.