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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车辆运动控制系统研究

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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:针对智能车辆数据收集的随机性以及收集的数据之间的巨大差异,可能很容易导致信息冲突,缺少有效数据和大量减少有效数据,分配图表在基础上消除疏忽错误通过自适应加权信息融合算法处理多传感器数据收集和数据,以获得更可靠的距离信息。实验表明该方法提高了距离测量系统的准确性,并消除了传感器故障引起的有效误差。

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