首页> 外国专利> RECONSTRUCTION METHOD FOR SECURE ENVIRONMENT ENVELOPE OF SMART VEHICLE BASED ON DRIVING BEHAVIOR OF VEHICLE IN FRONT

RECONSTRUCTION METHOD FOR SECURE ENVIRONMENT ENVELOPE OF SMART VEHICLE BASED ON DRIVING BEHAVIOR OF VEHICLE IN FRONT

机译:基于车辆驾驶行为的智能车辆安全环境包络的重建方法

摘要

A reconstruction method for a secure environment envelope of a smart vehicle based on the driving behavior of a vehicle in front, starting from the simulation of the behavior of a real driver pre-estimating the potential collision risk of the drive area in front, introducing a prediction regarding the driving behavior of the vehicle in front to the environment sensing link of the smart vehicle, reconstructing, on the basis of the prediction result regarding the driving behavior of the vehicle in front, a secure environment envelope of the smart vehicle. The method uses a signal as an observed value, such as the trajectory point sequence of the vehicle in front, the indicators of the vehicle in front, the smart vehicle speed, the relative longitudinal speed of the smart vehicle and the vehicle in front, etc., and predicts the driving behavior of the vehicle in front by means of a hidden markov model (HMM); the method corrects, on the basis of the prediction result about the driving behavior of the vehicle in front, the transverse spacing and the longitudinal spacing between the smart vehicle and the vehicle in front, realizes the reconstruction of a secure environment envelope of a smart vehicle, and further realizes the pre-estimation regarding the potential collision risk of the smart vehicle in the safe drive area, and improves the security of the smart vehicle.
机译:基于前方车辆的驾驶行为的智能车辆安全环境包络的重建方法,从实际驱动程序预估计前面的驱动区域的潜在碰撞风险的模拟开始,引入a关于智能车辆前面的车辆的驾驶行为的预测,基于关于前面的车辆的驾驶行为的预测结果,重构的预测结果,智能车辆的安全环境包络。该方法使用信号作为观察值,例如前面的车辆的轨迹点序列,车辆前方的指示灯,智能车辆速度,智能车辆的相对纵向速度和前方的车辆,等等。,并通过隐马尔可夫模型(HMM)预测前面的车辆的驾驶行为;该方法在前面的车辆的驱动行为的基础上校正,横向间隔和前面的车辆之间的横向间隔和纵向间隔,实现了智能车辆的安全环境包络的重建,并且进一步实现了关于安全驱动区域中智能车辆的潜在碰撞风险的预估计,并提高了智能车辆的安全性。

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