Abstract

Abstract. 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.

Highlights

  • In this paper we introduce new generations of test-stands designed based on the implementation of ideal bundle-block calibration benefitting from state-of-the-art manufacturing techniques

  • Because the modelling of lens distortion could be considered as a mathematical function fitting or polynomial fitting (Tang et al, 2012a) (Tang et al, 2012b) we need to make sure that this phenomenon does not happen when performing the test-stand calibration

  • The specifications of the NRC camera are provided in Table 1: Camera Parameter Image Sensor Image Height Image Width Pixel Size Colour Filter Array (CFA) Pattern Nominal Focal Length Spectral Range (SR) HFOV VFOV

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Summary

Video-Based Driver Assistant Systems

There is an ever growing demand for using optical sensors and cameras in different systems and environments such as the driver-assistant (DA) systems. The video-based driver-assistant systems incorporate different types of video cameras such as mono/stereo front-view camera or fisheye surround-view cameras which allow gathering and analysing information of the surroundings of vehicle, creating a state of situational awareness. This makes it possible to perform the vehicle motion, manoeuvre and trajectory control. In computer-vision applications such as the video-based driver-assistant systems there is a need for accurate image to world transformation which presumes accurate camera calibration This requires designing and developing optical-testing and calibration systems for performing various optical tests on every single camera

Test-Stand Single-Shot Calibration
Implementing Bundle-Block Geometrical Features
Automatic Calibration and High Repetitive Accuracy
Maintaining Calibration Accuracy for Complete Image Area
Analysing the Bundle-Block Calibration
Camera Alignment-Testing Capability
Additional Demands on Optical Tests
Test-Stand Geometrical Design
Test-Stand Mechanical Design and Features
Design Statistical Analysis and Point Distribution
TEST-STAND MEASUREMENT ACCURACY
TEST-STAND ACCURACY ANALYSIS
Comparison with bundle-block
CAMERA CALIBRTION ACCURACY ANALYSIS
CONCLUSION
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