中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Mobile robot obstacle avoidance algorithms based on information fusion of vision and sonar

文献类型:期刊论文

作者Gao HW(高宏伟); Wei, Qiuyang; Yu Y(于洋); Liu JG(刘金国)
刊名International Journal of Future Generation Communication and Networking
出版日期2016
卷号9期号:8页码:111-120
关键词Binocular stereo vision stereo matching V-disparity obstacle detection T-S fuzzy neural network
ISSN号2233-7857
产权排序1
通讯作者高宏伟
中文摘要In view of the problem of AS-R autonomous wheeled mobile robot obstacle avoidance, a rapid convergence of sonar and binocular stereovision sensor distance information in order to detect and avoid obstacle algorithm is proposed in this paper. The algorithm first uses binocular camera (CCD) to get three-dimensional image of the real environment, through the stereo matching and V-disparity method which is used to calculate disparity map, then obstacles is extracted by Hough lines detection algorithm, finally we will get information about obstacles and sonar return information with T-S fuzzy neural network fusion, then it will output walking controlled decisions. Experimental results proved that the algorithm is effective and practical.
收录类别EI
语种英语
源URL[http://ir.sia.cn/handle/173321/19189]  
专题沈阳自动化研究所_空间自动化技术研究室
推荐引用方式
GB/T 7714
Gao HW,Wei, Qiuyang,Yu Y,et al. Mobile robot obstacle avoidance algorithms based on information fusion of vision and sonar[J]. International Journal of Future Generation Communication and Networking,2016,9(8):111-120.
APA Gao HW,Wei, Qiuyang,Yu Y,&Liu JG.(2016).Mobile robot obstacle avoidance algorithms based on information fusion of vision and sonar.International Journal of Future Generation Communication and Networking,9(8),111-120.
MLA Gao HW,et al."Mobile robot obstacle avoidance algorithms based on information fusion of vision and sonar".International Journal of Future Generation Communication and Networking 9.8(2016):111-120.

入库方式: OAI收割

来源:沈阳自动化研究所

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