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ROAD PROFILE ESTIMATION FOR VEHICLE LOCALIZATION

机译:车辆本地化的道路轮廓估计

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Measuring road profile is mainly used for a road maintenance purpose. Another interesting application of the knowledge on road profile is vehicle localization if the knowledge is available in real-time. A cost effective and implementable approach of measuring or estimating a road profile in a passenger vehicle is estimating the profile using inertial sensors that is readily installed for active safety features. The suggested method is a Kalman filter based disturbance observer without assuming a constant disturbance. By estimating the disturbance of k-1 time step at the k time step, the constant disturbance assumption is not necessary. The required observer structure and dynamics are presented as well as simulation and experimental results.
机译:测量道路型材主要用于道路维护目的。如果知识实时可用,另一个有趣的道路配置文件知识是车辆本地化。在乘用车中测量或估计道路轮廓的成本效益和可实现的方法是使用易于安装的主动安全特征的惯性传感器来估算轮廓。建议的方法是基于卡尔曼滤波器的干扰观测器,而不假设恒定的干扰。通过估计K时间步骤的K-1时间步骤的干扰,不需要恒定的干扰假设。提出了所需的观察者结构和动力学以及模拟和实验结果。

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