參考文獻 |
[1] Bertozzi, M., A. Broggi, and A. Fascioli, “Vision-based intelligent vehicles: State of the art and perspectives,” Robotics and Autonomous Systems, vol.32, no.1, pp.1-16, 2000.
[2] Bertozzi, M., A. Broggi, M. Cellario, A. Fascioli, P. Lombardi, and M. Porta, “Artificial vision in road vehicles,” Proceedings of The IEEE, vol.90, no.7, pp.1258-1271, Jul. 2002.
[3] Bertozzi, M., A. Broggi, P. Medici, P. P. Porta, and A. Sjogren, “Stereo vision-based start-inhibit for heavy goods vehicles,” in Proc. of IEEE Intelligent Vehicles Symposium, Tokyo, Japan, Jun.13-15, 2006, pp.350-355.
[4] Brown, D. C., “Close-range camera calibration,” Photogrammetric Engineering, vol.37, no.8, pp.855-866, 1971.
[5] Caprile, B. and V. Torre, “Using vanishing points for camera calibration,” International Journal of Computer Vision, vol.4, no.2, pp.127-140, 1990.
[6] Claus, D. and A. W. Fitzgibbon, “A rational function lens distortion model for general cameras,” in Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, San Diego, CA, Jun.20-25, 2005, vol.1, pp.213-219.
[7] Devernay, F. and O. Faugeras, “Straight lines have to be straight,” Machine Vision and Application, vol.13, no.1, pp.14-24, 2001.
[8] Ehlgen, T. and T. Pajdla, “Monitoring surrounding areas of truck-trailer combinations,” in Proc. of 5th Int. Conf. on Computer Vision Systems, Bielefeld, Germany, Mar.21-24, 2007, CD-ROM.
[9] Ehlgen, T. and T. Pajdla, “Maneuvering aid for large vehicle using omnidirectional cameras,” in Proc. of 8th IEEE Workshop on Applications of Computer Vision, Austin, Texas, 2007, pp.17.
[10] Ehlgen, T., M. Thorn, and M. Glaser, “Omnidirectional cameras as backing-up aid,” in Proc. of IEEE Int. Conf. on Computer Vision., Rio de Janeiro, Brazil, Oct.14-21, 2007, pp.1-5.
[11] Faig, W., “Calibration of close-range photogrammetry systems: Mathematical formulation,” Photogrammetric Engineering and Remote Sensing, vol.41, no.12, pp.1479-1486, 1975.
[12] Faugeras, O. and G. Toscani, “The calibration problem for stereo,” in Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, Miami Beach, FL, Jun. 1986, pp.15-20.
[13] Faugeras, O., T. Luong, and S. Maybank, “Camera self-calibration: Theory and experiments,” in Proc. of 2nd European Conf. on Computer Vision, Santa Margherita Ligure, Italy, May. 1992, vol.588, pp.321-334.
[14] Fitzgibbon, A. W., “Simultaneous linear estimation of multiple view geometry and lens distortion,” in Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, Kauai, Hawaii, Dec. 2001, vol.1, pp.125-132.
[15] Fleck, M. M., Perspective Projection: The Wrong Imaging Model, Technical Report TR 95-01, Computer Science, University of Iowa, 1995.
[16] Ganapathy, S., “Decomposition of transformation matrices for robot vision,” Pattern Recognition Letters, vol.2, pp.401-412, 1984.
[17] Gandhi, T. and M. M. Trivedi, “Dynamic panoramic surround map: motivation and omni video based approach,” in Proc. of IEEE Conf. on Computer Vision and Pattern Recognition, Washington DC, Jun.20-26, 2005, pp.61.
[18] Gandhi, T. and M. M. Trivedi, “Parametric ego-motion estimation for vehicle surround analysis using an omnidirectional camera,” Machine Vision and Applications, vol.16, no.2, pp.85-95, 2005.
[19] Gennery, D., “Stereo-camera calibration,” in Proc. of 10th Image Understanding Workshop, Los Angeles, CA, Nov. 1979, pp.101-108.
[20] Geyer, C. and K. Daniilidis, “Catadioptric projective geometry,” International Journal of Computer Vision, vol.45, no.3, pp.223-243, 2001.
[21] Liu, Y. C., K. Y. Lin, and Y. S. Chen, “Bird’s-eye view vision system for vehicle surrounding monitoring,” in Proc. Conf. Robot Vision, Berlin, Germany, Feb. 20, 2008, pp.207-218.
[22] Maybank, S. J. and O. D. Faugeras, “A theory of self-calibration of a moving camera,” International Journal of Computer Vision, vol.8, no.2, pp.123-152, 1992.
[23] Reinhard, E., M. Adhikhmin, B. Gooch, and P. Shirley, “Color transfer between images,” IEEE Computer Graphics and Applications, vol.21, no.5, pp.34-41, 2001.
[24] Ruderman, D. L., T. W. Cronin, and C. C. Chiao, “Statistics of cone responses to natural images: implications for visual coding,” Journal of the Optical Society of America A, vol.15, no.8, pp.2036-2045, 1998.
[25] Slama, C. C., editor., Manual of Photogrammetry, 4th edition, American Society of Photogrammetry and Remote Sensing, Falls Church, Virginia, 1980.
[26] Tsai, R. Y., “A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf tv cameras and lenses,” IEEE Journal of Robotics and Automation, vol.3, no.4, pp.323-344, 1987.
[27] Wei, G. and S. Ma, “A complete two-plane camera calibration method and experimental comparisons,” in Proc. of 4th Int. Conf. on Computer Vision, Berlin, Germany, May 11-14, 1993, pp.439-446.
[28] Weng, J., P. Cohen, and M. Herniou, “Camera calibration with distortion models and accuracy evaluation,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.14, no.10, pp.965-980, 1992.
[29] Zhang, Z., “A flexible new technique for camera calibration,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.22, no.11, pp.1330-1334, 2000.
[30] Zhang, Z., “Camera calibration with one-dimensional objects,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.26, no.7, pp.892-899, 2004. |