2、像等综合处理和研究的专门技术。多传感器信息融合技术在障碍识别的应用已经成为一个热门的研究领域，为智能驾驶的实现奠定基础。本文深入的研究了多传感器信息融合技术，介绍信息融合的各个层次包括了数据层融合、特征层融合、决策层融合，简单分析了障碍识别中所需要的传感器类型，重点研究T-S神经网络信息融合技术，最终经过简单的matlab仿真分析了T-S神经网络信息融合技术。关键词：多传感器，障碍识别，神经网络湖南大学毕业设计(论文)第I页Application of multi-sensor information fusion technique in ba
3、rrieridentificationSummaryAssensor technologyapplications, dataprocessing technology, controltechnology of computer hardwareandsoftware technology andindustrialization development in multi-sensor information fusiontechnology has developed a hot new subject and technology.Rese
4、arch on multi-sensor information fusion technology inChinahasbeenin engineering havebeen applied,suchas the location and identificationof information and believethat as science advances, multisensorinformation fusion technology become an intelligent, integrated image finedata
5、 information processing and research expertise.Application of multi-sensor information fusion for obstacle recognitionhas become a hot area of research, laying the Foundation for realizationof intelligent driving.This in-depth study of the multi-sensor information fusion tech
6、nology,info integration at all levels, including a data fusion, feature-levelfusion, fusion, brief analysis of obstacle recognition sensor typesrequired, focusing on t-sfuzzy neural network information fusiontechnology, eventually after a simple MATLAB simulation and analysis
7、 of t-sfuzzy neural network information fusion technology.Keywords:Multi-sensor，Obstacle recognition，Neural networkI湖南大学毕业设计(论文)第页目录HUNANUNIVERSITY11.1引言61.2多传感器信息融合研究历史及现状61.3多传感器信息融合技术的应用领域81.3.1多传感器信息融合技术在军事领域的应用81.3.2多传感器信息融合技术在民事方面的应用81.4多传感器信息融合技术在障碍识别的应用9第二章多传感器信息融合技术9
