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计算机系统应用英文版:2013,22(3):196-198,195

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轮式移动机器人DGPS与图像匹配组合导航技术

王琪¹, 苏敏¹, 苏永振²

(1.南昌航空大学信息工程学院, 南昌 330063;2.防空兵学院, 郑州 450000)

Wheeled Mobile Robot DGPS and Image Matching Integrated Navigation System

WANG Qi¹, SU Min¹, SU Yong-Zhen²

(1.School of Information Engineering, Nanchang Hangkong University, Nanchang 330063, China;2.School of Air Defense Forces, Zhengzhou 450000, China)

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本文已被：浏览 1310次下载 3122次
Received:August 18, 2012 Revised:September 24, 2012

中文摘要: 利用卡尔曼滤波器将DGPS与SIFT图像匹配算法进行了深组合, 同时针对SIFT算法计算量大、计算时间长的缺点, 对其进行了改进, 经过实验, 改进后的算法能够很好的满足系统本身对于实时匹配的要求, 提高了系统导航的精度.

中文关键词: 组合导航 DGPS SIFT算法卡尔曼滤波

Abstract:Using Kalman filter for the deep integration of DGPS and image matching, we improved it because the SIFT feature description of an image is typically large and slow to compute. The experiments show that the improved algorithm can meet the system's requirements for real-time matching for integrated navigation, increased the system navigation accuracy.

keywords: integrated navigation DGPS SIFT algorithm Kalman filter

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基金项目:

Author Name	Affiliation
WANG Qi	School of Information Engineering, Nanchang Hangkong University, Nanchang 330063, China
SU Min	School of Information Engineering, Nanchang Hangkong University, Nanchang 330063, China
SU Yong-Zhen	School of Air Defense Forces, Zhengzhou 450000, China

Author Name	Affiliation
WANG Qi	School of Information Engineering, Nanchang Hangkong University, Nanchang 330063, China
SU Min	School of Information Engineering, Nanchang Hangkong University, Nanchang 330063, China
SU Yong-Zhen	School of Air Defense Forces, Zhengzhou 450000, China

引用文本：
王琪,苏敏,苏永振.轮式移动机器人DGPS与图像匹配组合导航技术.计算机系统应用,2013,22(3):196-198,195
WANG Qi,SU Min,SU Yong-Zhen.Wheeled Mobile Robot DGPS and Image Matching Integrated Navigation System.COMPUTER SYSTEMS APPLICATIONS,2013,22(3):196-198,195