自主工程车定位系统的多传感信息融合技术  

Multi-sensor information fusion technology in positioning system of automated engineering vehicle

作　　者：李麦收[1] 

机构地区：[1]中南林业科技大学,湖南长沙410004

出　　处：《黑龙江科技信息》2010年第12期36-37,共2页Heilongjiang Science and Technology Information

基　　金：湖南省自然科学基金资助项目(08C933)

摘　　要：自主工程车的应用日益广泛,为了研究自主工程车定位系统中的多传感信息融合技术,通过文献检索法介绍了自主工程车常用的定位系统及各种定位系统的特点,利用模块化思想构造了自主工程车定位系统结构,简单描述了自主工程车定位系统的工作过程,阐述了自主工程车定位系统中多传感信息融合技术的原理和常用的传感器融合方法,重点介绍了目前使用最广泛的卡尔曼滤波和神经网络方法。认为可以通过更加成熟的融合策略或者尝试不同的传感器组合来提高定位系统的准确性。As the increasingly application of automated engineering vehicle,in order to study the multi-sensor information fusion technology in their positioning system,in this paper introduces the commonly used positioning system in automated engineering vehicle and introduces features of various positioning system according to literature search method,and construct the structure of positioning system in automated engineering vehicle, further describe the working process of positioning system in automated engineering vehicle,then describe the principle and common fusion method of multi-sensor information fusion technology in positioning system,and focus on description of Kalman filter and ANN methods used the most widely currently.

关 键 词：定位系统 传感器 信息融合 卡尔曼滤波 神经网络 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]