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首页> 外文期刊>Transactions of the Institute of Measurement and Control >Road lane trajectory estimation using yaw rate gyroscopes for intelligent vehicle control
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Road lane trajectory estimation using yaw rate gyroscopes for intelligent vehicle control

机译:使用偏航角速度陀螺仪进行智能车辆控制的行车道轨迹估计

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Vehicles equipped with advanced control systems can benefit significantly from an accurate estimation of the trajectory of the road ahead. This can be used, for example, to determine whether an obstacle, detected by a forward-looking sensor, is on the vehicle's path or in an adjacent lane. One method of deriving such an estimate is to combine a measurement of the Taw motion of the vehicle with some bask assumptions about the nature of the road. An adaptive cruise control system, equipped with a yaw-rate-based trajectory estimation, was demonstrated by Jaguar Cars at the PROMETHEUS ‘Board Members Meeting' in 1994 with control that could distinguish between vehicles in adjacent lanes even on motorway bends. This system showed a considerable benefit over those which did not make use of any steering in. formation to select the sensor's field of interest, allowing the vehicle to follow traffic more naturally. The paper explores the consequences of the technique by modelling the nature of curves on motorway roads, the sources of noise on the yaw rate signal and the filtering used to form a reliable estimate of the road trajectory.
机译:配备先进控制系统的车辆可以从准确估算前方道路的轨迹中受益匪浅。例如,这可用于确定由前视传感器检测到的障碍物是否在车辆的路径上或在相邻车道上。得出这种估计的一种方法是将车辆的Taw运动的测量结果与有关道路性质的一些基础假设结合起来。 Jaguar Cars在1994年的PROMETHEUS“董事会成员会议”上演示了一种自适应巡航控制系统,该系统配备了基于偏航率的轨迹估计,该控制系统可以区分相邻车道上的车辆,甚至在高速公路弯道上。与不使用任何转向系统来选择传感器的关注领域的系统相比,该系统显示出显着的优势,从而使车辆能够更自然地跟随交通。本文通过对高速公路上的曲线的性质进行建模,偏航率信号上的噪声源以及用于形成可靠的道路轨迹估计的滤波方法,探讨了该技术的后果。

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