The recent advances in the field of computer-vision have opened the doors of many opportunities for taking advantage of these techniques and technologies in many fields and applications. Having a high demand for these systems in today and future vehicles implies a high production volume of video cameras. The above criterions imply that it is critical to design test systems which deliver fast and accurate calibration and optical-testing capabilities. In this paper we introduce new generation of test-stands delivering high calibration quality in single-shot calibration of fisheye surround-view cameras. This incorporates important geometric features from bundle-block calibration, delivers very high (sub-pixel) calibration accuracy, makes possible a very fast calibration procedure (few seconds), and realizes autonomous calibration via machines. We have used the geometrical shape of a Spherical Helix (Type: 3D Spherical Spiral) with special geometrical characteristics, having a uniform radius which corresponds to the uniform motion. This geometrical feature was mechanically realized using three dimensional truncated icosahedrons which practically allow the implementation of a spherical helix on multiple surfaces. Furthermore the test-stand enables us to perform many other important optical tests such as stray-light testing, enabling us to evaluate the certain qualities of the camera optical module.
[1]
Steffen Abraham,et al.
Towards autonomous high-precision calibration of digital cameras
,
1997,
Optics & Photonics.
[2]
H. Hosoya.
High π-Electronic Stability of Soccer Ball Fullerene C60 and Truncated Octahedron C24 Among Spherically Polyhedral Networks
,
2011
.
[3]
D. Fritsch,et al.
A NOVEL FAMILY OF MATHEMATICAL SELF-CALIBRATION ADDITIONAL PARAMETERS FOR AIRBORNE CAMERA SYSTEMS
,
2011
.
[4]
Dieter Fritsch,et al.
New rigorous and flexible Fourier self-calibration models for airborne camera calibration
,
2012
.
[5]
Johannes Wallner,et al.
Line Geometry for 3D Shape Understanding and Reconstruction
,
2004,
ECCV.
[6]
M. Nekouei Shahraki,et al.
Introducing free-function camera calibration model for central-projection and omni-directional lenses
,
2015,
SPIE Optical Systems Design.
[7]
Local polynomial regression based on functional data
,
2011,
1107.4058.
[8]
Patrick Rives,et al.
Single View Point Omnidirectional Camera Calibration from Planar Grids
,
2007,
Proceedings 2007 IEEE International Conference on Robotics and Automation.