The Running Path Memory Algorithm Of Intelligent Vehicle

Various algorithms of path memory is widely used in artificial intelligence andmobile robot fields, such as intelligent robot, intelligent vehicle etc. With theperformance issues related to path memory upgrade, how to improve the performanceindex is one of the important problems of each memory algorithms.This paper studies a route memory algorithm based on the vehicle controlinformation, the method, in a certain extent, can overcome the large computation andcomputational complexity of path information difficult, its application in theintelligent car racing navigation control, can improve the running speed incompetitive racing, so that the smart vehicle to control the running in a stable, fastspeed. Route algorithm of this paper includes the path memory algorithm based oncontrol information and navigation control method based on path memory algorithm.Route algorithm based on control information is a memory algorithm which extractingthe path information, obtained navigation control information as the path parameter.Navigation control method based on path memory extracted path memory information,calculate vehicle location and vehicle maximum speed, use acceleration controlstrategy, adjust the speed, control vehicle running stability and fast.By the navigation experiments, the advantages of application path memoryalgorithm to speed navigation control is the stored demand path information is smaller,the control method is simple; test show that, the path memory algorithm makeintelligent vehicle running on memory path in the largest possible speed, whichshorten the intelligent vehicle’ running time.