Bayesian estimation of distance and surface normal with a time-of-flight laser rangefinder

Authors:
Jochen Lang;Dinesh K. Pai
Affiliations:
Laboratory of Computational Intelligence, Department of Computer Science, University of British Columbia, Vancouver, B.C., Canada;Laboratory of Computational Intelligence, Department of Computer Science, University of British Columbia, Vancouver, B.C., Canada
Venue:
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
Year:
1999

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Abstract

We describe a Bayesian estimation method for measurement of both range and surface orientation using a laser range finder. The method not only provides more accurate estimates of range for dark surfaces that are difficult to measure, but also simultaneously provides estimates of surface normals. This paper describes our efforts for a commercially available sensor, the laser range finder Acuity Accu-Range 3000 LIR, a widely available device. We detail the Bayesian techniques. sensor calibration, and the processing required.