多传感器信息融合在智能车中的应用研究

摘要

研究智能无人车采集的差异数据融合问题,提高融合后有效信息数量.针对智能无人车多传感器采集存在较大随机性,采集的信息在特征上存在较大差异,在后期融合过程中的差异容易造成信息冲突,导致有效信息丢失,融合后的有效数据量大幅减少.为了解决上述问题,提出一种自适应多传感数据信息融合算法,通过估计出数据信息的可融合程度,运用滤波技术提高其融合能力,增加融合后有效数据信息量.实验表明,该算法能够大幅提高多传感器差异信息融合率,增加有效信息数量,取得了不错的效果.%Research the information fusion of intelligent car to improve the effective data quantity. This paper put forward an adaptive multi - sensor fusion algorithm. Through estimating the data fusion degree, filtering technology was used to improve the integration ability and increase the effective information after data fusion. Experiments show that this algorithm can greatly improve the diversity information fusion rate of multi - sensor and increase effective information quantity.