Research On Software System Design And Path Path Planning For Smart Car

Wheeled mobile robot is an important branch of robotics,and it has broad application prospects in military,space,civil and other fields.Path planning is one of the most important topics in the field of mobile robot research.It solves the problem of how mobile robots drive in the environment.Despite the current research on mobile robot path planning and software systems,with the development of social economy,it is difficult to meet the professional needs of robots in various fields.Therefore,the robot path planning and software system research still has a very high research value and practical significance.This paper focuses on the intelligent vehicle obstacle avoidance path planning and software system design.Firstly,the paper discusses the traditional intelligent vehicle frame technology and the current common path planning method.Secondly,this paper proposes a hierarchical framework of smart car software system,which can make smart car realize information sharing,cooperation and remote monitoring by separating smart car base,control layer and server layer,and using the strong network and computing function of server.And other functions.Finally,for the path planning of the smart car,we use the global path planning based on the A * algorithm and the local path planning of the fuzzy logic obstacle avoidance algorithm as the path planning method of the smart car,which solves some shortcomings of the traditional path planning method.The main contributions of this paper are as follows:1)This paper analyzes and summarizes the research status of the smart car at home and abroad.We also analyze the advantages and disadvantages of the traditional smart car software framework,and analyze and summarize the common path planning methods.2)A smart car hierarchical system architecture based on module function is proposed to solve the problem of module coupling and development crossover in the process of team development.It provides technical accumulation for the research of smart car software system and provides a reference for team development and management..We verified the practicality and usefulness of the framework through experiments.In addition,the framework can increase the function in different layers according to different requirements,and the scalability is better.3)A local path planning method based on A * algorithm is proposed,which combines the global path planning with the fuzzy logic obstacle avoidance algorithm as the path planning method of smart car.It solves the problem that the global path planning can only aim at the path planning problem of the static known environment,and at the same time solves the shortcoming of the local path planning that needs real-time re-path planning.