Auto-calibration method to determine camera pose for stereovision-based off-road vehicle navigation

Environmental Control in Biology

Volumn 48, Issue 2, 2010, Pages 59-72

  Wang, Qi ^a   Zhang, Qin ^b   Rovira MÁS, Francisco ^c  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b WASHINGTON STATE UNIVERSITY   (United States)

^c UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Agricultural vehicle navigation; Camera installation; Camera pose auto calibration; Stereovision

Indexed keywords

EID: 79953728250     PISSN: 1880554X     EISSN: 18830986     Source Type: Journal    
DOI: 10.2525/ecb.48.59     Document Type: Conference Paper

References (16)

1. Cheng, Y., Maimone, M. W., Matthies, L. 2005. Visual odometry on the mars exploration rovers. Proc. The International Conference on. System, Man and Cybernetics, p 903-910.
2. Collado, J. M., Hilario, C., de la Escalera, A., Armingol, J. M. 2006. Self-calibration of an on-board stereovision system for driver assistance systems. Proc. Intelligent Vehicles Symposium, p 156-162.
3. Coulombeau, P., Laurgeau, C. 2003. Vehicle yaw, pitch, roll and 3D lane shape recovery by vision. Proc. Intelligent Vehicles Symposium, p 619-625.
4. Fischler, M. A., Bolles, R. C. 1980. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM 24: 381.-395.
5. Franke, U., Gavrila, D., Gorzig, S., Lindner, F., Paetzold, F., Wohler, C. 1998. Autonomous driving goes downtown. IEEE Intelligent Systems & Their Applications 13: 40-48. (Pubitemid 128566754)
6. Harris, C., Stephens, M. 1988. A combined corner and edge detector. Proc. The Fourth Alvey Vision Conference, p 147-151.
7. Konolige, K., Agrawal, M., Bolles, R. C., Cowan, C., Fischler, M., Gerkey, B. 2008. Outdoor mapping and navigation using stereo vision, Springer Tracts in Advanced Robotics 39: 179-190. (Pubitemid 351223261)
8. Labayrade, R., Aubert, D., Tarel, J. 2003. Real time obstacle detection in stereovision on non flat road geometry through "v-disparity" representation, Proc. Intelligent Vehicle Symposium, p 646-651.
9. Lamprecht, B., Rass, S., Fuchs, S., Kyamakya, K. 2007. Extrinsic camera calibration for an on-board two-camera system without overlapping field of view. Proc. 10th International IEEE Conf. on Intelligent Transportation Systems, p 265-270.
10. Ma, Y., Soatto, S., Kosecka, J., Sastry, S. 2005. An invitation to 3-D vision, Springer, New York, NY, USA.
11. Marita, T., Oniga, F., Nedevschi, S., Graf, T., Schmidt, R. 2006. Camera calibration method for far range stereovision sensors used in vehicles. Proc. IEEE Intelligent Vehicles Symposium, p 356-363.
12. Nister, D., Naroditsky, O., Bergen, J. 2006. Visual odometry for ground vehicle applications. Journal of Field Robotics 23: 3-20.
13. Rovira-Más, F., Wang, Q., Zhang, Q. 2009. Bifocal stereoscopic vision for intelligent vehicles. International Journal of Vehicular Technology. Article ID 123231, 9 p.
14. Sappa, A. D., Geronimo, D., Dornaika, F., Lopez, A. 2006. On-board camera extrinsic parameter estimation. Electronics Letters 42: 745-747. (Pubitemid 43953699)
15. Torr, P. H. S. 2002. A structure and motion toolkit in matlab: Interactive adventures in S and M. Microsoft Research Technical Report, Number: MSR-TR-2002-56, pp 40.
16. Weber, J. W., Atkin, M. 1997. Further results on the use of binocular vision for highway driving. Proc. Transportation Sensors and Controls: Collision Avoidance, Traffic Management, and ITS, p 52-61.