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
Summary
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
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have