Training and optimization of operating parameters for flash LADAR cameras

Proceedings - IEEE International Conference on Robotics and Automation

Volumn , Issue , 2007, Pages 3408-3413

  Price, Michael ^a   Kenney, Jacqueline ^b   Eastman, Roger D ^b   Hong, Tsai ^c  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^b LOYOLA UNIVERSITY MARYLAND   (United States)

^c NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERA OPERATION; NONLINEAR OPTIMIZATION; OBSTACLE DETECTION;

CAMERAS; OBJECT RECOGNITION; OPTICAL RADAR; REAL TIME CONTROL; ROBOTICS; THREE DIMENSIONAL COMPUTER GRAPHICS;

IMAGING SYSTEMS;

EID: 36348991943     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2007.363999     Document Type: Conference Paper

References (11)

1. M. Juberts, N. Dagalakis, J. Stone, J. Gorman, and W. Stone, "Performance analysis of next-generation ladar for manufacturing, construction, and mobility," National Institute of Standards and Technology, Gaithersburg, MD, Tech. Rep. NISTIR-7117, 2004.
2. M. Herbert and E. Krotkov, "3d measurements from imaging laser radars: how good are they?" Image and Vision Computing, vol. 10, no. 3, pp. 170-178, April 1992.
3. D. Anderson, H. Herman, and A. Kelly, "Experimental characterization of commercial, flash ladar devices," in International Conference on Sensing Technologies, New Zealand, November 2005.
4. S. B. Gokturk, H. Yalcin, and C. Bamji, "A. time-of-flight depth sensor - system description, issues and solutions," in IEEE Conference on Computer Vision and Pattern Recognition Workshop, vol. 3, Washington, DC, USA, 2004, p. 35.
5. A. M. Lytle, I. Katz, and K. S. Saidi, "Performance evaluation of a high frame-rate 3d sensor for construction applications," in 22nd International Symposium on Automation and Robotics in Construction, Ferrara, Italy, 2005.
6. J. Tuley, N. Vandapel, and M. Herbert, "Analysis and removal of artifacts in 3d ladar data," in IEEE International Conference on Robotics and Automation, Barcelona, Spain, 2005, pp. 2203-2210.
7. R. Lange, "3d time-of-flight distance measurement with custom solid-state image sensors in cmos/ccd-technology," Ph.D. dissertation, University of Siegen, 2000.
8. J. C. Lagarias, J. A. Reeds, M. H. Wright, and P. E. Wright, "Convergence properties of the nelder-mead simplex method in low dimensions," SIAM Journal Optimization, vol. 9, pp. 112-147, 1998.
9. H. G. Neddermeijer, G. J. van Oortmarssen, N. Pierma, R. Dekker, and J. D. F. Habbema, "Adaptive extensions of the nelder and mead simplex method for optimization of stochastic simulation models," Erasmus University Econometric Institute, Tech. Rep. EI2000-22/A, 2000.
10. L. Breiman, J. Friedman, C. J. Stone, and R. Olshen, Classification and Regression Trees. Boca Raton, FL: CRC Press, 1984.
11. V. Gazi, M. L. Moore, K. M. Passino, W. Shackleford, F. M. Proctor, and J. S. Albus, The RCS Handbook: Tools for Real-Time Control Systems Software Development. New York: John Wiley and Sons, 2001.