Self-localization of a mobile robot without camera calibration using projective invariants

Pattern Recognition Letters

Volumn 21, Issue 1, 2000, Pages 45-60

  Lee, Wang Heun ^b   Roh, Kyoung Sig ^a   Kweon, In So ^b  

^a Samsung Advanced Institute of Technology (SAIT)   (South Korea)

^b Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

Author keywords

Mobile robot; Projective invariant; Self localization

Indexed keywords

ALGORITHMS; MOBILE ROBOTS;

PROJECTIVE INVARIANTS; SELF LOCALIZATION;

COMPUTER VISION;

EID: 0033897352     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(99)00132-4     Document Type: Article

References (8)

1. Bochem W., Prautzsch N. Geometric Concepts for Geometric Design. 1994;A.K. Peters, Wellesley, MA.
2. Dulimarta H.S., Jain A.K. Mobile robot localization in indoor environment. Pattern Recognition. 30(1):1997;99-111.
3. Huttenlocher, D.P., Ullman, S., 1987. Object recognition using alignment. In: Proceedings of the IEEE ICCV, pp. 102-111.
4. Kosaka A., Kak A.C. Fast vision guided mobile robot navigation using model based reasoning and prediction of uncertainties. CVGIP: Image Understanding. 56(3):1992;271-329.
5. Lee, W.H., 1995. Development of a mobile robot with a hybrid locomotion mechanism. M.S. Thesis, KAIST.
6. Matsumoto, Y., Inaba, M., Inoue, H., 1996. Visual navigation using view-sequenced route representation. In: Proceedings of ICRA96. Minneapolis, MN, April 83-88.
7. Mundy J.L., Zisserman A. Geometric Invariance in Computer Vision. 1992;MIT Press, Cambridge, MA.
8. Sugihara K. Some location problems for robot navigation using a single camera. CVGIP: Image Understanding. 42:1988;112-129.