Dynamic approach of camera auto-calibration for vision system on autonomous vehicle

Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University

Volumn 39, Issue 10, 2005, Pages 1072-1076

  Ma, Lin ^a   Zheng, Nanning ^a   Li, Qing ^a   Cheng, Hong ^a  

^a XI'AN JIAOTONG UNIVERSITY   (China)

Author keywords

Autonomous vehicle; Camera; Self calibration; Vanishing point; Vision sensor

Indexed keywords

ALGORITHMS; CALIBRATION; COMPUTATIONAL COMPLEXITY; COMPUTER VISION; ERROR ANALYSIS; STATISTICAL METHODS; VEHICLES; VIDEO SIGNAL PROCESSING;

AUTONOMOUS VEHICLE; SELF-CALIBRATION; VANISHING POINT; VISION SENSOR;

CAMERAS;

EID: 27744574637     PISSN: 0253987X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (22)

1. Dankers A, Zelinsky A. A real-world vision system: mechanism, control, and vision processing [A]. Lecture Notes in Computer Science [C]. Berlin: Springer-Verlag, 2003. 223-235.
2. Kundur S R, Raviv D. A vision-based pragmatic strategy for autonomous navigation [J]. Pattern Recognition, 1998, 31(9): 1221-1239.
3. Kundur S R, Raviv D. Novel active vision-based visual threat cue for autonomous navigation tasks [J]. Computer Vision and Image Understanding, 1999, 73(2): 169-182.
4. Gregor R, Lützeler M, Pellkofer M, et al. EMS-vision: a perceptual system for autonomous vehicles [J]. IEEE Transactions on Intelligent Transportation Systems, 2002, 3(1): 48-59.
5. Hemayed E E. A survey of camera self-calibration [A]. IEEE Conference on Advanced Video and Signal Based Surveillance, Miami, USA, 2003.
6. Meng X Q, Hu Z Y. Recent progress in camera self-calibration [J]. Acta Automatica Sinica, 2003, 29(1): 110-124.
7. Faugeras O, Luong Q T, Maybank S. Camera self-calibration: theory and experiments [A]. Lecture notes in Computer Science [C]. Berlin: Springer-Verlag, 1992. 321-334.
8. Maybank S, Faugeras O. A theory of self calibration of a moving camera [J]. International Journal of Computer Vision, 1992, 8(2): 123-151.
9. Hartley R. Euclidean reconstruction and invariants from multiple images [J]. IEEE Trans on Pattern Anal and Mach Intell, 1994, 16(10): 1036-1041.
10. Hartley R I. Kruppa's equations derived from the fundamental matrix [J]. IEEE Trans on Pattern Anal and Mach Intell, 1997, 19(2): 133-135.
11. Lei C, Wu F C, Hu Z Y. Kruppa equations and camera self-calibration [J]. Acta Automatica Sinica, 2001, 27(5): 621-630.
12. Ji Qiang, Dai Songtao. Self-calibration of a rotating camera with a translational offset [J]. IEEE Transactions on Robotics and Automation, 2004, 20(1): 1-14.
13. Wang Feiyue. A simple and analytical procedure for calibrating extrinsic camera parameters [J]. IEEE Transactions on Robotics and Automation, 2004, 20(1): 121-124.
14. Wang L L, Tsai W H. Camera calibration by vanishing lines for 3-D computer vision [J]. IEEE Trans Pattern Anal and Mach Intell, 1991, 13(4): 370-376.
15. Bucher T. Measurement of distance and height in images based on easy attainable calibration parameters [A]. IEEE Intelligent Vehicles Symposium, Dearborn, USA, 2000.
16. Chen Zhaoxue, Shi Pengfei. Efficient method for camera calibration in traffic scene [J]. Electronics Letters, 2004, 40(6): 368-369.
17. Schoepflin T N, Dailey D J. Dynamic camera calibration of roadside traffic management cameras for vehicle speed estimation [J]. IEEE Transactions on Intelligent Transportation Systems, 2003, 4(2): 90-98.
18. Papoulis A, Pillai S U. Probability, random variables and stochastic processes [M]. Beijing: The McGraw-Hill Companies Inc, 2002.
19. Bouget J Y. Matlab camera calibration toolbox [EB/OL]. http://www.vision.caltech.edu/bougetj/calib_doc/index.html, 2003-04-18/2004-08-22.