Optimal Combination and Constraints for Geometrical Sensor Data

The International Journal of Robotics Research

Volumn 7, Issue 6, 1988, Pages 66-77

  Porrill, John ^a  

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; ROBOTS, INDUSTRIAL--VISION SYSTEMS; SENSORS; STATISTICAL METHODS;

MOBILE ROBOTS; STEREO VISION SYSTEM TINA;

ROBOTICS;

EID: 0024138264     PISSN: 02783649     EISSN: 17413176     Source Type: Journal    
DOI: 10.1177/027836498800700606     Document Type: Article

References (11)

1. Albert, A. 1972. Regression and the Moore-Penrose pseudo-inverse. New York: Academic Press.
2. Bolle, R.M., and Cooper D.B. 1986. On optimally combining pieces of information, with application to estimating 3-D complex-object position from range data. IEEE Trans. Pattern Anal. Machine Intelligence 8(5):619-638.
3. Crowley, J.L. 1985. Navigation for an intelligent mobile robot. IEEE J. Robotics Automation 1(1):31-41.
4. Durrant-Whyte, H.F. 1985. Consistent integration and propagation of disparate sensor observations. Ph.D. thesis, GRASP Lab, University of Pennsylvania.
5. Faugeras, O.D., Ayache, N., and Faverjon, B. 1986 (San Francisco, Calif.). Building visual maps by combining noisy stereo measurements. Proc. IEEE Int. Conf. on Robotics and Automation, pp. 1433-1438.
6. Gelb, A. 1984. Applied optimal estimation. Cambridge: MIT Press.
7. Morrison, D.F. 1976. Multivariate statistical methods. New York: McGraw-Hill.
8. Pollard, S.B., Porrill, J., Mayhew, J.E.W., and Frisby, J.P. 1987. Matching geometrical descriptions in three space. Image and Vision Computing 5(2):73-78.
9. Porrill, J., Pridmore, T.P., Mayhew, J.E.W., and Frisby, J.P. 1986. Fitting planes, lines and circles to stereo disparity data. AIVRU memo 017.
10. Porrill, J., Pollard, S.B., and Mayhew, J.E.W. 1987. Optimal combination of multiple sensors including stereo vision. Image and Vision Computing 5(2):175-180.
11. Smith, R.C., and Cheeseman, P. 1985. On the representation and estimation of spatial uncertainty. Int. J. Robotics Res. 5(4):56-68.