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Volumn 26, Issue 4, 2010, Pages 715-720

Detecting region transitions for human-augmented mapping

Author keywords

Human robot interface; semantic mapping; space segmentation

Indexed keywords

FEATURE-BASED; HUMAN USERS; HUMAN-ROBOT INTERFACE; INDOOR ENVIRONMENT; SEMANTIC MAPPING;

EID: 77955577337     PISSN: 15523098     EISSN: None     Source Type: Journal    
DOI: 10.1109/TRO.2010.2049178     Document Type: Article
Times cited : (12)

References (12)
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  • 3
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    • Towards autonomous topological place detection using the extended voronoi graph
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  • 4
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    • A robust qualitative method for spatial learning in unknown environments
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    • H. Choset and K. Nagatani, "Topological simultaneous localization and mapping (slam): Toward exact localization without explicit localization," IEEE Trans. Robot. Autom., vol.17, no.2, pp. 125-137, Apr. 2001.
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  • 6
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    • Topology learning and place recognition using bayesian programming for mobile robot navigation
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    • An efficient representation of the robot's environment
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    • B. Kröse, "An efficient representation of the robot's environment," presented at the Int. Conf. Intell. Auton. Syst., Venice, Italy, 2000.
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  • 9
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    • Supervised learning of places from range data using adaboost
    • presented at the, Barcelona, Spain
    • O. Mart́nez Mozos, C. Stachniss, and W. Burgard, "Supervised learning of places from range data using adaboost," presented at the IEEE Int. Conf. Robot. Autom., Barcelona, Spain, 2005.
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    • Voronoi random fields: Extracting the topological structure of indoor environments via place labeling
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  • 11
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    • Z. Zivkovic, O. Booij, B. Kröse, E. Topp, and H. Christensen, "From sensors to human spatial concepts: An annotated data set," IEEE Trans. Robot., vol.24, no.2, pp. 501-505, Apr. 2008.
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    • Zivkovic, Z.1    Booij, O.2    Kröse, B.3    Topp, E.4    Christensen, H.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.