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A study of intelligent vehicle motion control system based on multi-sensor information fusion

机译:基于多传感器信息融合的智能汽车运动控制系统研究

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Aiming at the randomness of intelligent vehicle data collection and the huge difference between the data collected which may easily result in information conflict, missing of effective data and large decreasing of effective data, method of distribution chart is used to eliminate negligent errors on the basis of multi-sensor data collecting and data is processed by adaptive weighted information fusion algorithm in the mean time to obtain more reliable distance information. Experiment shows this method improves the accuracy of the distance measuring system and eliminates effectively errors caused by sensor failure.
机译:针对智能车辆数据采集的随机性以及采集到的数据之间的巨大差异,很容易导致信息冲突,有效数据丢失和有效数据减少的情况,采用分布图的方法消除了过失误差。同时利用自适应加权信息融合算法对多传感器数据进行采集和处理,以获得更可靠的距离信息。实验表明,该方法提高了测距系统的精度,有效消除了传感器故障引起的误差。

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