针对面向智能车辆研究的智能车仿真平台的构建问题，设计了一种智能仿真车，在研究智能车仿真平台基本结构的基础上，详细阐述了智能仿真车的软硬件设计；提出了一种基于霍夫变换的车道线识别方法，首先采用霍夫变换对车道线进行检测，之后使用多示例学习对车道线进行跟踪。实际应用表明，该智能仿真车能够满足相关技术的研究需求，具备良好的有效性和稳定性。%Aiming at the construction problem of the intelligent vehicle simulation platform for intelligent vehicle study,an intelligent simulation vehicle was designed. On the basis of studying the basic structure of the intelligent vehicle simulation plat⁃form,the software and hardware designs of intelligent simulation vehicle are described in detail. A lane line recognition method based on Hough transform is proposed,in which the Hough transform is used to detect the lane line,and then the multi⁃exam⁃ple learning is used to track the lane line. The practical application result indicates this intelligent simulation vehicle can satisfy the research requirements of related technologies,and has good effectiveness and stability.
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