Intelligent path prediction for vehicular travel
Intelligent path prediction for vehicular travel
复制标题
车辆行驶智能路径预测
DOI：
10.1109/21.229460
复制
发表时间：
1993
期刊：
影响因子：
--
通讯作者：
D. Andrisani
中科院分区：
文献类型：
--
作者：
J. Krozel;D. Andrisani
预测车辆运动的问题已经由几个研究人员进行了研究。许多人使用卡尔曼滤波技术的基础上的方程的车辆运动;这些技术最准确地预测短期运动。相比之下，我的论文（Krozel 1992）1提出了一种智能路径预测的方法，其中预测所观察到的车辆的运动是通过推理车辆的操作员的决策策略。
The problem of predicting the motion of a vehicle has been investigated by several researchers. Many have used Kalman filter techniques based on the equations of vehicle motion; these techniques most accurately predict shortterm motion. In contrast, my dissertation (Krozel 1992)1 presents a methodology for intelligent path prediction, where predicting the motion of an observed vehicle is performed by reasoning about the decision-making strategy of the vehicle's operator.