메뉴 건너뛰기




Volumn 15, Issue 3, 2003, Pages 281-297

Target recognition by components for mobile robot navigation

Author keywords

Door detection; Learning by components; Neural network

Indexed keywords

AUTOMATIC TARGET RECOGNITION; COMPUTER VISION; DOORS; FEATURE EXTRACTION; HEURISTIC METHODS; LEARNING SYSTEMS; NAVIGATION; NEURAL NETWORKS; OBJECT RECOGNITION; OFFICE BUILDINGS;

EID: 0038044819     PISSN: 0952813X     EISSN: None     Source Type: Journal    
DOI: 10.1080/0952813021000039430     Document Type: Article
Times cited : (20)

References (33)
  • 2
    • 0034831232 scopus 로고    scopus 로고
    • A vision system for object verification and localization based on local features
    • Baerveldt, A., 2001, A vision system for object verification and localization based on local features. Robotics and Autonomous Systems, 34: 83-92.
    • (2001) Robotics and Autonomous Systems , vol.34 , pp. 83-92
    • Baerveldt, A.1
  • 4
    • 0038119873 scopus 로고    scopus 로고
    • Matching of line segments for indoor navigation using projective invariants
    • Venice, Italy
    • Branca, A., Stella, E., and Distante, A., 2000b, Matching of line segments for indoor navigation using projective invariants. In Proceedings of Intellient Autonomous Systems 6, pp. 439-446, Venice, Italy.
    • (2000) Proceedings of Intellient Autonomous Systems 6 , pp. 439-446
    • Branca, A.1    Stella, E.2    Distante, A.3
  • 5
    • 0003170925 scopus 로고
    • Prototypes, location, and associative networks (plan): Towards a unified theory of cognitive mapping
    • Chown, E., Kaplan, S., and Kortenkamp, D., 1995, Prototypes, location, and associative networks (plan): towards a unified theory of cognitive mapping. Cognitive Science, 19: 1-51.
    • (1995) Cognitive Science , vol.19 , pp. 1-51
    • Chown, E.1    Kaplan, S.2    Kortenkamp, D.3
  • 12
    • 0041419900 scopus 로고
    • A method for recognition and localization of generic objects for indoor navigation
    • Kim, D., and Nevatia, R., 1994, A method for recognition and localization of generic objects for indoor navigation. In ARP A94, II: 1069-1076.
    • (1994) ARP A94 , vol.2 , pp. 1069-1076
    • Kim, D.1    Nevatia, R.2
  • 13
    • 0032137339 scopus 로고    scopus 로고
    • Recognition and localization of generic objects for indoor navigation using functionality
    • Kim, D., and Nevatia, R., 1998, Recognition and localization of generic objects for indoor navigation using functionality. Image and Vision Computing, 16(11): 729-743.
    • (1998) Image and Vision Computing , vol.16 , Issue.11 , pp. 729-743
    • Kim, D.1    Nevatia, R.2
  • 15
    • 0000337996 scopus 로고
    • Fast vision-guided mobile robot navigation using model-based reasoning and prediction of uncertainties
    • Kosaka, A., and Kak, A., 1992, Fast vision-guided mobile robot navigation using model-based reasoning and prediction of uncertainties. Computer Vision, Graphics, and Image Processing-Image Understanding, 56(3): 271-329.
    • (1992) Computer Vision, Graphics, and Image Processing-Image Understanding , vol.56 , Issue.3 , pp. 271-329
    • Kosaka, A.1    Kak, A.2
  • 16
    • 0001956852 scopus 로고
    • Navigation and mapping in large-scale space
    • Kuipers, B., and Levitt, T., 1988, Navigation and mapping in large-scale space. AI Magazine, 9: 25-43.
    • (1988) AI Magazine , vol.9 , pp. 25-43
    • Kuipers, B.1    Levitt, T.2
  • 21
    • 0032123895 scopus 로고    scopus 로고
    • Using photometric invariants for 3d object recognition
    • Nagao, K., and Grimson, W. E. L., 1998, Using photometric invariants for 3d object recognition. Computer Vision and Image Understanding, 71(1): 74-93.
    • (1998) Computer Vision and Image Understanding , vol.71 , Issue.1 , pp. 74-93
    • Nagao, K.1    Grimson, W.E.L.2
  • 28
    • 0035448938 scopus 로고    scopus 로고
    • Real-time recognition of self-similar landmarks
    • Scharstein, D., and Briggs, A., 2000, Real-time recognition of self-similar landmarks. Image and Vision Computing, 19: 763-772.
    • (2000) Image and Vision Computing , vol.19 , pp. 763-772
    • Scharstein, D.1    Briggs, A.2
  • 29
    • 0035448949 scopus 로고    scopus 로고
    • Learning environmental features for pose estimation
    • Sim, R., and Dudek, G., 2001, Learning environmental features for pose estimation. Image and Vision Computing, 19: 733-739.
    • (2001) Image and Vision Computing , vol.19 , pp. 733-739
    • Sim, R.1    Dudek, G.2
  • 30
    • 0033909279 scopus 로고    scopus 로고
    • A target recognition technique employing geometric invariants
    • Song, B. S., Yun, I. D., and Lee, S. U., 2000, A target recognition technique employing geometric invariants. Pattern Recognition, 33: 413-425.
    • (2000) Pattern Recognition , vol.33 , pp. 413-425
    • Song, B.S.1    Yun, I.D.2    Lee, S.U.3
  • 31
    • 0003651781 scopus 로고    scopus 로고
    • Learning and example selection for object and pattern detection
    • Technical Report 1572, AI Lab. PhD thesis
    • Sung, K.-K., 1996, Learning and example selection for object and pattern detection. Technical Report 1572, AI Lab. PhD thesis.
    • (1996)
    • Sung, K.-K.1
  • 32
    • 0035420788 scopus 로고    scopus 로고
    • Real-time object recognition on image sequences with the adaptable time delay neural network algorithm-applications for autonomous vehicles
    • Wohler, C., and Anlauf, J. K., 2001, Real-time object recognition on image sequences with the adaptable time delay neural network algorithm-applications for autonomous vehicles. Image and Vision Computing, 19: 593-618.
    • (2001) Image and Vision Computing , vol.19 , pp. 593-618
    • Wohler, C.1    Anlauf, J.K.2
  • 33
    • 0000519459 scopus 로고    scopus 로고
    • Feature-based human face detection
    • Yow, K. C., and Cipolla, R., 1997, Feature-based human face detection. Image and Vision Computing, 15: 713-735.
    • (1997) Image and Vision Computing , vol.15 , pp. 713-735
    • Yow, K.C.1    Cipolla, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.