메뉴 건너뛰기




Volumn 57, Issue 6-7, 2009, Pages 629-644

Color learning and illumination invariance on mobile robots: A survey

Author keywords

Autonomous mobile robots; Color learning; Illumination adaptation; Real time robot vision

Indexed keywords

ACTION PLANNING; AUTONOMOUS LEARNING; AUTONOMOUS MOBILE ROBOTS; COLOR LEARNING; COLOR SEGMENTATIONS; ENVIRONMENTAL CHANGES; ENVIRONMENTAL FEATURES; ILLUMINATION ADAPTATION; ILLUMINATION CHANGES; ILLUMINATION INVARIANCES; INTER-DEPENDENCIES; LEARNING AND ADAPTATIONS; MOBILE ROBOT PLATFORMS; MOBILE ROBOT VISIONS; NATURAL CONDITIONS; REAL-TIME ROBOT VISION; SENSOR TECHNOLOGIES; VISION ALGORITHMS; VISION PROBLEMS;

EID: 67349215708     PISSN: 09218890     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.robot.2009.01.004     Document Type: Article
Times cited : (28)

References (104)
  • 3
    • 33750024797 scopus 로고    scopus 로고
    • Stanley: The robot that won the DARPA grand challenge
    • Thrun S. Stanley: The robot that won the DARPA grand challenge. Journal of Field Robotics 23 9 (2006) 661-692
    • (2006) Journal of Field Robotics , vol.23 , Issue.9 , pp. 661-692
    • Thrun, S.1
  • 5
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • Lowe D. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision (IJCV) 60 2 (2004) 91-110
    • (2004) International Journal of Computer Vision (IJCV) , vol.60 , Issue.2 , pp. 91-110
    • Lowe, D.1
  • 6
    • 0041940256 scopus 로고    scopus 로고
    • R. Fergus, P. Perona, A. Zisserman, Object class recognition by unsupervised scale-invariant learning, in: CVPR, 2003
    • R. Fergus, P. Perona, A. Zisserman, Object class recognition by unsupervised scale-invariant learning, in: CVPR, 2003
  • 24
    • 33845356190 scopus 로고    scopus 로고
    • A comparison of image segmentation algorithms, cmu-ri-tr-05-40
    • Tech. Rep, Robotics Institute, Carnegie Mellon University, September
    • C. Pantofaru, M. Hebert, A comparison of image segmentation algorithms, cmu-ri-tr-05-40, Tech. Rep., Robotics Institute, Carnegie Mellon University, September 2005
    • (2005)
    • Pantofaru, C.1    Hebert, M.2
  • 32
  • 36
    • 18844405673 scopus 로고    scopus 로고
    • A computational model for color naming and describing color composition of images
    • Mojsilovic A. A computational model for color naming and describing color composition of images. IEEE Transactions on Image Processing 14 5 (2005) 690-699
    • (2005) IEEE Transactions on Image Processing , vol.14 , Issue.5 , pp. 690-699
    • Mojsilovic, A.1
  • 38
    • 0034249101 scopus 로고    scopus 로고
    • Cooperative navigation of micro-rovers using color segmentation
    • Hyams J., Powell M.W., and Murphy R.R. Cooperative navigation of micro-rovers using color segmentation. Autonomous Robots 9 1 (2000) 7-16
    • (2000) Autonomous Robots , vol.9 , Issue.1 , pp. 7-16
    • Hyams, J.1    Powell, M.W.2    Murphy, R.R.3
  • 42
    • 29344441712 scopus 로고    scopus 로고
    • Using layered color precision for a self-calibrating vision system
    • Lisbon, Portugal
    • M. Jungel, Using layered color precision for a self-calibrating vision system, in: The Eighth International RoboCup Symposium, Lisbon, Portugal, 2004
    • (2004) The Eighth International RoboCup Symposium
    • Jungel, M.1
  • 51
    • 0022559263 scopus 로고
    • Color constancy: A method for recovering surface spectral reflectance
    • Maloney L.T., and Wandell B.A. Color constancy: A method for recovering surface spectral reflectance. Journal of Optical Society of America A 3 1 (1986) 29-33
    • (1986) Journal of Optical Society of America A , vol.3 , Issue.1 , pp. 29-33
    • Maloney, L.T.1    Wandell, B.A.2
  • 52
    • 0017640363 scopus 로고
    • The retinex theory of color constancy
    • Land E.H. The retinex theory of color constancy. Scientific American (1977) 108-129
    • (1977) Scientific American , pp. 108-129
    • Land, E.H.1
  • 53
    • 0019035311 scopus 로고
    • A spatial processor model for object color perception
    • Buchsbaum G. A spatial processor model for object color perception. Journal of Franklin Institute 310 (1980) 1-26
    • (1980) Journal of Franklin Institute , vol.310 , pp. 1-26
    • Buchsbaum, G.1
  • 63
    • 33744817938 scopus 로고    scopus 로고
    • Ph.D. Thesis, Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, July
    • S.R. Lenser, On-line robot adaptation to environment change, Ph.D. Thesis, Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, July 2005
    • (2005) On-line robot adaptation to environment change
    • Lenser, S.R.1
  • 66
    • 34548507726 scopus 로고    scopus 로고
    • Structure-based color learning on a mobile robot under changing illumination
    • Sridharan M., and Stone P. Structure-based color learning on a mobile robot under changing illumination. Autonomous Robots 23 3 (2007) 161-182
    • (2007) Autonomous Robots , vol.23 , Issue.3 , pp. 161-182
    • Sridharan, M.1    Stone, P.2
  • 71
    • 58849114452 scopus 로고    scopus 로고
    • Program supervision: Yakl and pegase + reference and user manual
    • 5066, INRIA, Sophia Antipolis, France, December
    • S. Moisan, Program supervision: Yakl and pegase + reference and user manual, Rapport de Recherche 5066, INRIA, Sophia Antipolis, France, December 2003
    • (2003) Rapport de Recherche
    • Moisan, S.1
  • 72
    • 0034290336 scopus 로고    scopus 로고
    • What can program supervision do for program reuse?
    • Thonnat M., and Moisan S. What can program supervision do for program reuse?. IEE Proceedings on Software 147 5 (2000) 179-185
    • (2000) IEE Proceedings on Software , vol.147 , Issue.5 , pp. 179-185
    • Thonnat, M.1    Moisan, S.2
  • 73
    • 0028715295 scopus 로고
    • Use of a real-time perception program supervisor in a driving scenario
    • 94, Paris, France
    • C. Shekhar, S. Moisan, M. Thonnat, Use of a real-time perception program supervisor in a driving scenario, in: Intelligent Vehicle Symposium '94, Paris, France, 1994
    • (1994) Intelligent Vehicle Symposium
    • Shekhar, C.1    Moisan, S.2    Thonnat, M.3
  • 74
    • 33646940294 scopus 로고
    • Vision planner for an intelligent multisensory vision system
    • Technical Report, University of Bern, Bern, Switzerland
    • X. Jiang, H. Bunke, Vision planner for an intelligent multisensory vision system, Technical Report, University of Bern, Bern, Switzerland, 1994
    • (1994)
    • Jiang, X.1    Bunke, H.2
  • 75
    • 67349091136 scopus 로고    scopus 로고
    • T. Darrell, Reinforcement learning of active recognition behaviors, Tech. Rep. Interval Research Technical Report 1997-045, extended version of paper in NIPS-95, 1997, pp. 858-864
    • T. Darrell, Reinforcement learning of active recognition behaviors, Tech. Rep. Interval Research Technical Report 1997-045, extended version of paper in NIPS-95, 1997, pp. 858-864
  • 76
    • 0032073263 scopus 로고    scopus 로고
    • Planning and acting in partially observable stochastic domains
    • Kaelbling L., Littman M., and Cassandra A. Planning and acting in partially observable stochastic domains. Artificial Intelligence 101 (1998) 99-134
    • (1998) Artificial Intelligence , vol.101 , pp. 99-134
    • Kaelbling, L.1    Littman, M.2    Cassandra, A.3
  • 79
    • 0043046674 scopus 로고
    • A probabilistic model of action for least-commitment planning with information gathering
    • UAI
    • D. Draper, S. Hanks, D. Weld, A probabilistic model of action for least-commitment planning with information gathering, in: Uncertainty in AI, UAI, 1994
    • (1994) Uncertainty in AI
    • Draper, D.1    Hanks, S.2    Weld, D.3
  • 83
    • 0003780657 scopus 로고    scopus 로고
    • The planning domain definition language, Technical Report TR-98-003/DCS TR-1165
    • PDDL:, Tech. Rep, Yale Center for Computational Vision and Control
    • D. McDermott, PDDL: The planning domain definition language, Technical Report TR-98-003/DCS TR-1165, Tech. Rep., Yale Center for Computational Vision and Control, 1998
    • (1998)
    • McDermott, D.1
  • 84
    • 0036377352 scopus 로고    scopus 로고
    • The FF planning system: Fast plan generation through heuristic search
    • Hoffmann J., and Nebel B. The FF planning system: Fast plan generation through heuristic search. Journal of Artificial Intelligence Research 14 (2001) 253-302
    • (2001) Journal of Artificial Intelligence Research , vol.14 , pp. 253-302
    • Hoffmann, J.1    Nebel, B.2
  • 85
    • 0022688781 scopus 로고
    • A robust layered control system for a mobile robot
    • Brooks R.A. A robust layered control system for a mobile robot. Robotics and Automation 2 (1986) 14-23
    • (1986) Robotics and Automation , vol.2 , pp. 14-23
    • Brooks, R.A.1
  • 87
    • 0346942368 scopus 로고    scopus 로고
    • Decision theoretic planning: Structural assumptions and computational leverage
    • Boutillier C., Dean T.L., and Hanks S. Decision theoretic planning: Structural assumptions and computational leverage. Journal of AI Research 11 (1999) 1-94
    • (1999) Journal of AI Research , vol.11 , pp. 1-94
    • Boutillier, C.1    Dean, T.L.2    Hanks, S.3
  • 90
    • 85131706146 scopus 로고    scopus 로고
    • T. Smith, R. Simmons, Point-based POMDP algorithms: Improved analysis and implementation, in: UAI, 2005
    • T. Smith, R. Simmons, Point-based POMDP algorithms: Improved analysis and implementation, in: UAI, 2005
  • 91
    • 33646244605 scopus 로고    scopus 로고
    • A survey of approximate methods for solving partially observable markov decision processes
    • Technical Report, Australia National University, School of Information Science and Engineering
    • D. Aberdeen, A survey of approximate methods for solving partially observable markov decision processes, Technical Report, Australia National University, School of Information Science and Engineering, 2002
    • (2002)
    • Aberdeen, D.1
  • 92
    • 0001770240 scopus 로고    scopus 로고
    • Value function approximations of partially observable Markov decision processes
    • Hauskrecht M. Value function approximations of partially observable Markov decision processes. Journal of Artificial Intelligence 13 (2000) 33-95
    • (2000) Journal of Artificial Intelligence , vol.13 , pp. 33-95
    • Hauskrecht, M.1
  • 98
    • 67349102783 scopus 로고    scopus 로고
    • Hierarchical POMDP controller optimization by likelihood maximization
    • UAI
    • M. Toussaint, L. Charlin, P. Poupart, Hierarchical POMDP controller optimization by likelihood maximization, in: Uncertainty in AI, UAI, 2008
    • (2008) Uncertainty in AI
    • Toussaint, M.1    Charlin, L.2    Poupart, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.