Viewing corridors as right parallelepipeds for vision-based vehicle localization

IEEE Transactions on Industrial Electronics

Volumn 46, Issue 3, 1999, Pages 653-661

  Yang, Zhi Fang ^a   Tsai, Wen Hsiang ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; COMPUTER VISION; EQUATIONS OF MOTION; OBJECT RECOGNITION; PARALLEL PROCESSING SYSTEMS;

PARALLELEPIPED CORRIDORS; VISION-BASED VEHICLE LOCALIZATION;

INTELLIGENT VEHICLE HIGHWAY SYSTEMS;

EID: 0032672607     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/41.767075     Document Type: Article

References (19)

1. A. D. L. Escalera, L. Moreno, M. A. Salichs, and J. M. ArmingolContinuous mobile robot localization by using structured light and a geometric map," Int. J. Syst. Sci., vol. 27, no. 8, pp. 771-782, 1996.
2. A. Curran and K. J. KyriakopoulosSensor-based self-localization for wheeled mobile robots," J. Robot. Syst., vol. 12, no. 3, pp. 163-176, 1995.
3. P. S. Lee, Y. E. Shen, and L. L. WangModel-based location of automated guided vehicles in the navigation sessions by 3D computer vision," J. Robot. Syst., vol. 11, no. 3, pp. 181-195, 1994.
4. R. Talluri and J. K. AggarwalMobile robot self-location using model-image feature correspondence," IEEE Trans. Robot. Automat., vol. 12, pp. 63-77, Feb. 1996.
5. H. L. Chou and W. H. TsaiA new approach to robot location by house corners," Pattern Recognit., vol. 19, no. 6, pp. 439-451, 1986.
6. S. Atiya and G. D. HagerReal-time vision-based robot localization," IEEE Trans. Robot. Automat., vol. 9, pp. 785-800, Dec. 1993.
7. A. Gilg and G. SchmidtLandmark-oriented visual navigation of a mobile robot," IEEE Trans. Ind. Electron., vol. 41, pp. 392-397, Aug. 1994.
8. L. Trassoudaine, S. Jouannin, J. Alizon, and J. GalliceTracking systems for intelligent road vehicles," Int. J. Syst. Sci., vol. 27, no. 8, pp. 731-743, 1996.
9. N. Amano, H. Hashimoto, and M. HigashiguchiEstimation of vehicle position based on projective function using the sequence of a 2D image," Int. J. Syst. Sci., vol. 27, no. 8, pp. 783-788, 1996.
10. N. Ayache and O. D. FaugerasMaintaining representations of the environment of a mobile robot," IEEE Trans. Robot. Automat., vol. 5, pp. 804-819, Dec. 1989.
11. D. J. Kriegman, E. Triendl, and T. O. BinfordStereo vision and navigation in buildings for mobile robots," IEEE Trans. Robot. Automat., vol. 5, pp. 792-803, Dec. 1989.
12. P. W. Lux and C. H. SchaeferRange imaging for autonomous navigation of robotic land vehicles," Signal Process., vol. 22, no. 3, pp. 299-311, Mar. 1991.
13. L. S. DavisVisual navigation at the University of Maryland," Robot. Autonomous Syst., vol. 7, no. 2-3, pp. 99-111, Aug. 1991.
14. E. T. Baumgartner and S. B. SkaarAn autonomous vision-based mobile robot," IEEE Trans. Automat. Contr., vol. 39, pp. 493-502, Mar. 1994.
15. L. L. Wang, P. Y. Ku, and W. H. TsaiModel-based guidance by the longest common subsequence algorithm for indoor autonomous vehicle navigation using computer vision," Automat. Construction, vol. 2, pp. 123-137, 1993.
16. R. M. Haralick and L. G. Shapiro, Computer and Robot Vision. Reading, MA: Addison-Wesley, 1993.
17. D. E. Pearson and J. A. RobinsonVisual communication at very low data rates," Proc. IEEE, vol. 73, pp. 795-812, Apr. 1985.
18. R. C. Gonzalez and R. E. Woods, Digital Image Processing. Reading, MA: Addison-Wesley, 1992.
19. Chen and Jiang3D camera calibration using vanishing point concept," Pattern Recognit., vol. 24, no. 1, pp. 57-67, 1991.