Paper
28 April 2008 Photogrammetric calibration of the SwissRanger 3D range imaging sensor
Scott Robbins, Brigit Schroeder, Bryan Murawski, Nicholas Heckman, Jonathan Leung
Author Affiliations +
Abstract
Many robotic and industrial systems require 3D range-sensing capabilities for mapping, localization, navigation, and obstacle avoidance. Laser-scanning systems that mechanically trace a range-sensing beam over a raster or similar pattern can produce highly accurate models but tend to be bulky and slow when acquiring a significant field of view at useful resolutions. Stereo cameras can provide video-rate range images over significant fields of view but tend to have difficulty with scenes containing low or confusing textures. A new generation of active light, time-of-flight range sensors use a 2D array of sensor elements to produce a 3D range image at video rates. These sensors pose unique calibration challenges, requiring both the usual calibration of lens distortion (intrinsic calibration) and calibration of the time-of-flight range measurement (3D calibration). This paper presents our application of a photogrammetric calibration approach using inexpensive printed optical targets and off-the-shelf software to solve both intrinsic and range calibrations for the MESA Imaging SwissRanger 3100 range imaging sensor. We further identify specific calibration issues stemming from this sensor's correlation of reflectivity with measured range.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Scott Robbins, Brigit Schroeder, Bryan Murawski, Nicholas Heckman, and Jonathan Leung "Photogrammetric calibration of the SwissRanger 3D range imaging sensor", Proc. SPIE 7003, Optical Sensors 2008, 700320 (28 April 2008); https://doi.org/10.1117/12.781551
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CITATIONS
Cited by 4 scholarly publications and 2 patents.
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KEYWORDS
Calibration

Sensors

Cameras

Range imaging

3D image processing

3D acquisition

Image sensors

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