Free parking space detection using optical flow-based euclidean 3D reconstruction

Proceedings of IAPR Conference on Machine Vision Applications, MVA 2007

Volumn , Issue , 2007, Pages 563-566

  Suhr, Jae Kyu ^a   Bae, Kwanghyuk ^a   Kim, Jaihie ^a   Jung, Ho Gi ^b  

^a Yonsei University   (South Korea)

^b Mando Corporation   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

3D RECONSTRUCTION; 3D STRUCTURE; AUTOMATIC PARKING SYSTEMS; EUCLIDEAN; FLOW-BASED METHODS; METRIC INFORMATION; PARKING SPACES; REFERENCE POINTS; SCALE RATIO; VISION BASED;

AUTOMOBILES; COMPUTER VISION; OPTICAL FLOWS; THREE DIMENSIONAL COMPUTER GRAPHICS;

PARKING;

EID: 77953999981     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. R. Bishop: Intelligent Vehicle Technology and Trends, Artech House Pub, 2005.
2. N. Kaempchen, et al.: Stereo Vision Based Estimation of Parking Lots Using 3D Vehicle Models, IEEE Intell. Veh. Symp., vol.2, pp.459-464, 2002.
3. C. Vestri, et al.: 3D Parking Assistant System, IEEE Intell. Veh. Symp., pp.881-886, 2004
4. J. Xu, et al.: Vision-Guided Automatic Parking for Smart Car, IEEE Intell. Veh. Symp., pp.725-730, 2000
5. H. G. Jung, et al.: Parking Slot Markings Recognition for Automatic Parking Assist System, IEEE Intell. Veh. Symp., pp.106∼113, 2006.
6. H. G. Jung, et al.: Stereo Vision Based Localization of Free Parking Site, Computer Analysis of Images and Patterns (LNCS) vol.3691, pp.231-239, 2005.
7. H. G. Jung, et al.: 3D vision system for the recognition of free parking site location, International Journal of Automotive Technology, vol.7 no.3, pp.351-357, 2006.
8. B. D. Lucas, et al.: An iterative image registration technique with an application to stereo vision. In Proc. Int. Joint Conf. on Artificial Intelligence, pp.674-679, 1981.
9. P. H. S. Torr, et al.: MLESAC: A new robust estimator with application to estimating image geometry, Comp.Vision and Imag. Underst, vol.78, pp.138-156, 2000.
10. R. Hartley, et al.: Multiple View Geometry in Computer Vision, Cambridge University Press, 2000.
11. E. Trucco, et al.: Introductory Techniques for 3-D Computer Vision, Prentice Hall, 1998.
12. W. Burger, et al.: Estimating 3-D egomotion from perspective image sequences", IEEE Trans. on Patt. Anal. and Mach. Intell., vol.12, no.11, pp.1040-1058, 1990