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Volumn 58, Issue 1, 2010, Pages 81-96

A realistic benchmark for visual indoor place recognition

Author keywords

Robot topological localization; Standard robotic benchmark; Visual place recognition

Indexed keywords

APPEARANCE BASED; BENCHMARK DATASETS; EXPERIMENTAL PROCEDURE; IMAGE DATABASE; MOBILE ROBOT SYSTEMS; OFFICE ENVIRONMENTS; PLACE RECOGNITION; RANGE SENSORS; REAL-WORLD; STANDARD CAMERAS; TIME RANGE; TOPOLOGICAL LOCALIZATION; VISUAL FEATURE; VISUAL PLACE RECOGNITION; WEATHER CONDITIONS;

EID: 70450221694     PISSN: 09218890     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.robot.2009.07.025     Document Type: Article
Times cited : (48)

References (63)
  • 1
    • 0141956064 scopus 로고    scopus 로고
    • Robust localization using an omnidirectional appearance-based subspace model of environment
    • Jogan M., and Leonardis A. Robust localization using an omnidirectional appearance-based subspace model of environment. Robotics and Autonomous Systems 45 1 (2003) 51-72
    • (2003) Robotics and Autonomous Systems , vol.45 , Issue.1 , pp. 51-72
    • Jogan, M.1    Leonardis, A.2
  • 3
    • 18144379883 scopus 로고    scopus 로고
    • Robust vision-based localization by combining an image retrieval system with monte carlo localization
    • Wolf J., Burgard W., and Burkhardt H. Robust vision-based localization by combining an image retrieval system with monte carlo localization. IEEE Transactions on Robotics 21 2 (2005) 208-216
    • (2005) IEEE Transactions on Robotics , vol.21 , Issue.2 , pp. 208-216
    • Wolf, J.1    Burgard, W.2    Burkhardt, H.3
  • 6
    • 44649180979 scopus 로고    scopus 로고
    • FAB-MAP: Probabilistic localization and mapping in the space of appearance
    • Cummins M., and Newman P. FAB-MAP: Probabilistic localization and mapping in the space of appearance. The International Journal of Robotics Research 27 6 (2008) 647-665
    • (2008) The International Journal of Robotics Research , vol.27 , Issue.6 , pp. 647-665
    • Cummins, M.1    Newman, P.2
  • 7
    • 0031998630 scopus 로고    scopus 로고
    • Learning metric-topological maps for indoor mobile robot navigation
    • Thrun S. Learning metric-topological maps for indoor mobile robot navigation. Artificial Intelligence 1999 1 (1998)
    • (1998) Artificial Intelligence , vol.1999 , Issue.1
    • Thrun, S.1
  • 10
  • 19
    • 34948904828 scopus 로고    scopus 로고
    • Caltech-256 object category dataset
    • Technical Report 7694, Caltech, 2007, Available at
    • G. Griffin, A. Holub, P. Perona, Caltech-256 object category dataset, Technical Report 7694, Caltech, 2007, Available at: http://authors.library.caltech.edu/7694/
    • Griffin, G.1    Holub, A.2    Perona, P.3
  • 21
    • 70450224848 scopus 로고    scopus 로고
    • The MIT-CSAIL database of objects and scenes, Available at
    • The MIT-CSAIL database of objects and scenes, Available at: http://web.mit.edu/torralba/www/database.html
  • 25
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • Lowe D.G. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60 2 (2004) 91-110
    • (2004) International Journal of Computer Vision , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.G.1
  • 36
    • 0344444649 scopus 로고    scopus 로고
    • M. Mata, J.M. Armingol, A. de la Escalera, S.M.A., Using learned visual landmarks for intelligent topological navigation of mobile robots, in: Proceedings of the IEEE International Conference on Robotics and Automation, ICRA'03, 2003, Taipei, Taiwan
    • M. Mata, J.M. Armingol, A. de la Escalera, S.M.A., Using learned visual landmarks for intelligent topological navigation of mobile robots, in: Proceedings of the IEEE International Conference on Robotics and Automation, ICRA'03, 2003, Taipei, Taiwan
  • 39
    • 0142080706 scopus 로고    scopus 로고
    • Recognizing indoor scenes
    • Technical Report 2001-015, AI Memo
    • A. Torralba, P. Sinha, Recognizing indoor scenes, Technical Report 2001-015, AI Memo, 2001
    • (2001)
    • Torralba, A.1    Sinha, P.2
  • 44
    • 70450221894 scopus 로고    scopus 로고
    • The KTH-TIPS image database, Available at
    • The KTH-TIPS image database, Available at: http://www.nada.kth.se/cvap/databases/kth-tips/
  • 45
    • 79959502364 scopus 로고    scopus 로고
    • The KTH-INDECS database
    • Technical Report CVAP297, Kungliga Tekniska Hoegskolan, CVAP, September 2005, Available at
    • A. Pronobis, B. Caputo, The KTH-INDECS database, Technical Report CVAP297, Kungliga Tekniska Hoegskolan, CVAP, September 2005, Available at http://cogvis.nada.kth.se/INDECS/
    • Pronobis, A.1    Caputo, B.2
  • 46
    • 51949104759 scopus 로고    scopus 로고
    • The KTH-IDOL2 database
    • Technical Report CVAP304, Kungliga Tekniska Högskolan, CVAP/CAS, October 2006, Available at
    • J. Luo, A. Pronobis, B. Caputo, P. Jensfelt, The KTH-IDOL2 database, Technical Report CVAP304, Kungliga Tekniska Högskolan, CVAP/CAS, October 2006, Available at http://cogvis.nada.kth.se/IDOL/
    • Luo, J.1    Pronobis, A.2    Caputo, B.3    Jensfelt, P.4
  • 49
    • 70450223669 scopus 로고    scopus 로고
    • URL
    • Image CLEF 2009 Robot Vision challenge, URL: http://imageclef.org/2009/robot/
    • (2009) Robot Vision challenge
  • 56
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • Schölkopf B., Burges C., and Smola A. (Eds), MIT Press, Cambridge, MA, USA
    • Platt J.C. Fast training of support vector machines using sequential minimal optimization. In: Schölkopf B., Burges C., and Smola A. (Eds). Advances in Kernel Methods: Support Vector Learning (1999), MIT Press, Cambridge, MA, USA 185-208
    • (1999) Advances in Kernel Methods: Support Vector Learning , pp. 185-208
    • Platt, J.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.