基于无人车传感器系统的加权平均数据融合算法研究

摘要

Driverless vehicle in the process of moving,,need to use multi-sensor system to detect the enviroment of the road. but these sensors data information have some problems,such as overload, missing or inaccurate.we have to use data fusion technology to deal with the received data. this paper based on the driverless vehicle's multi-sensor system,make study on the weighted average of the data fusion algorithm,conform to the requirements of driverless vehicle's fusion level in the running enviroment. In the actual data fusion processing,it has high feasibility.%无人车在运行过程中，需要利用多传感器系统对周围道路环境进行观测，但这些传感器获取的数据信息存在着超载，丢失或不精确等问题，则需采用数据融合技术对所获数据加以优化处理。本文基于无人车的多传感器系统，对加权平均数据融合算法进行了研究，符合无人车运行环境下融合层次的要求，在实际的数据融合处理中具有很高的可行性。