全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于灰朦胧集动态演化的线段特征提取

DOI: 10.13195/j.kzyjc.2014.0312, PP. 848-852

Keywords: 灰朦胧集,动态演化,线段特征提取,自组织映射,主方向提取

Full-Text   Cite this paper   Add to My Lib

Abstract:

针对未知环境知识表达问题,模拟人类思维处理空间知识,提出一种基于灰朦胧集动态演化的线段特征提取方法.该方法在具有几何约束的环境中,通过灰朦胧集动态演化形成不同认知阶段表达,逐步消除信息中的不确定性,采用自组织映射和基于灰关联度的主方向提取实现线段特征的信息显化.通过创建室内走廊环境地图检验了所提出方法模拟人类智能对未知环境信息进行表达和推理的有效性.

References

[1]  Beeson P F. Creating and utilizing symbolic representations of spatial knowledge using mobile robots[D]. Ann Arbor: Computer Sciences, The University of Texas at Austin, 2008.
[2]  Yeap W K, Wong C K, Schmidt J. Using a mobile robot to test a theory of cognitive mapping[C]. Robotics and Cognitive Approaches to Spatial Mapping. Berlin: Springer-Verlag, 2008: 281-295.
[3]  Tolman E C. Cognitive maps in rats and men[J]. Psychological Review, 1948, 55(4): 189-208.
[4]  Endo Y, Arkin R C. Anticipatory robot navigation by simultaneously localizing and building a cognitive map[C]. IEEE/RSJ Int Conf on Intelligent Robots and Systems. Las Vegas: IEEE, 2003: 460-466.
[5]  Wang R F, Spelke E S. Human spatial representation: Insights from animals[J]. Trends in Cognitive Sciences, 2002, 6(9): 376-382.
[6]  Davis R, Shrobe H, Szolovits P. What is a knowledge representation[J]. AI Magazine, 1993, 14(1): 17-33.
[7]  Kuipers B. Spatial semantic hierarchy[J]. Artificial Intelligence, 2000, 119(1): 191-233.
[8]  Beeson P, Modayil J, Kuipers B. Factoring the mapping problem: Mobile robot map-building in the hybrid spatial semantic hierarchy[J]. Int J of Robotics Research, 2010, 29(4): 428-459.
[9]  Chown E. Making predictions in an uncertain world: Environmental structure and cognitive maps[J]. Adaptive Behavior, 1999, 7(1): 17-33.
[10]  Yeap W K, Jefferies M E. Computing a representation of the local environment[J]. Artificial Intelligence, 1999, 107(2): 265-301.
[11]  Luger G F. Artificial intelligence: Structures and strategies for complex problem solving[M]. 6th ed. New Jersey: Addison-Wesley Press, 2008: 3-33.
[12]  Harnish R M, Wang M, Li P X. Minds, brains, computers: An historical introduction to the foundations of cognitive science[M]. Hangzhou: Zhejiang University Press, 2010: 139-158.
[13]  Deng J L. Control problem of grey systems[J]. Systems & Control Letters, 1982, 1(5): 288-294.
[14]  邓聚龙. 灰理论基础[M]. 武汉: 华中科技大学出版社,2002: 18-61.
[15]  (Deng J L. Grey theory[M]. Wuhan: Huazhong University of Science and Technology Press, 2002: 18-61.)
[16]  Movafaghpour M A, Masehian E. Poly line map extraction in sensor-based mobile robot navigation using a consecutive clustering algorithm[J]. Robotics and Autonomous Systems, 2012, 60(8): 1078-1092.
[17]  Pfister S T, Roumeliotis S I, Burdick J W. Weighted line fitting algorithms for mobile robot map building and efficient data representation[C]. IEEE Int Conf on Robotics and Automation. New York: IEEE, 2003: 1304-1311.
[18]  Nguyen V, Gchter S, Martinelli A, et al. A comparison of line extraction algorithms using 2D range data for indoor mobile robotics[J]. Autonomous Robots, 2007, 23(2): 97-111.
[19]  Choi Y H, Lee T K, Oh S Y. A line feature based SLAM with low grade range sensors using geometric constraints and active exploration for mobile robot[J]. Autonomous Robots, 2008, 24(1): 13-27.
[20]  Berrio J S, Orozco O S, Caicedo B E. Lines extraction in laser scans through the integration of the hough transform and SEF[C]. Workshop on Engineering Applications. Bogota: IEEE, 2012: 6.
[21]  Xavier J, Pacheco M, Castro D, et al. Fast line, arc/circle and leg detection from laser scan data in a player driver[C]. IEEE Int Conf on Robotics and Automation. New York: IEEE, 2005: 3930-3935.
[22]  Ip Y L, Rad A B, Chow K M, et al. Segment-based map building using enhanced adaptive fuzzy clustering algorithm for mobile robot applications[J]. J of Intelligent & Robotic Systems, 2002, 35(3): 221-245.
[23]  Fernandez C, Moreno V, Curto B, et al. Clustering and line detection in laser range measurements[J]. Robotics and Autonomous Systems, 2010, 58(5): 720-726.
[24]  史忠植. 认知科学[M]. 合肥:中国科学技术大学出版社, 2008: 305-350.
[25]  (Shi Z Z. Cognitive science[M]. Hefei: University of Science and Technology of China Press, 2008: 305-350.)
[26]  邓聚龙. 灰数学引论—–灰色朦胧集[M]. 武汉: 华中理工大学出版社, 1992: 36-102.
[27]  (Deng J L. Introduction to grey mathamatics ―Grey hazy set[M]. Wuhan: Huazhong University of Science and Technology Press, 1992: 36-102.)
[28]  Kohonen T. The self-organizing map[J]. Proc of the IEEE, 1990, 78(9): 1464-1480.
[29]  Fredric M H, Ivica K, Ye S W, et al. Principles of neurocomputing for science & engineering[M]. Beijing: China Machine Press, 2007: 120-142.)
[30]  An S Y, Kang J G, Lee L K, et al. Line segment-based indoor mapping with salient line feature extraction[J]. Advanced Robotics, 2012, 26(5/6): 437-460.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133