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随着机动车保有量的逐年剧增,以及驾考要求的不断提高,为提高驾培质量,在驾校中推广智能驾培系统成为大势所趋。为追求“简单实用,准确可靠”的目标,将北斗卫星导航技术应用到智能机动车驾培系统中,通过实时采集机动车状态传感数据,实现驾驶行为的自动评判。为提高定位精度,系统采用载波相位实时动态差分技术,利用静态和动态天线之间的空间相关性,对行进状态下机动车实现分布式协作定位。同时,系统根据不同项目场地的特点和考试规则,设计出相应的场地模型,采用基于水平投影的32点参数模型对机动车身进行建模,应用矩阵变换来实时测算车身动态模型参数。
With the rapid increase of motor vehicle ownership and the continuous improvement of driving test requirements, it is the general trend to promote intelligent driving training system in driving schools in order to improve the quality of driving training. In pursuit of the goal of “simple, practical, accurate and reliable”, Beidou satellite navigation technology is applied to the intelligent vehicle driving system, and real-time acquisition of vehicle state sensing data to realize the automatic judgment of driving behavior. In order to improve the positioning accuracy, the system adopts real-time dynamic phase difference technique of carrier phase, and utilizes the spatial correlation between static and dynamic antennas to realize the distributed coordinated positioning of motor vehicles in the moving state. At the same time, the system designs the corresponding site model according to the characteristics of different project sites and the examination rules. The vehicle body is modeled by using 32-point parametric model based on horizontal projection and the matrix transformation is used to calculate the dynamic model parameters of the vehicle body in real time.