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      A Convenient Calibration Method for LRF-Camera Combination Systems Based on a Checkerboard

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          Abstract

          In this paper, a simple and easy high-precision calibration method is proposed for the LRF-camera combined measurement system which is widely used at present. This method can be applied not only to mainstream 2D and 3D LRF-cameras, but also to calibrate newly developed 1D LRF-camera combined systems. It only needs a calibration board to record at least three sets of data. First, the camera parameters and distortion coefficients are decoupled by the distortion center. Then, the spatial coordinates of laser spots are solved using line and plane constraints, and the estimation of LRF-camera extrinsic parameters is realized. In addition, we establish a cost function for optimizing the system. Finally, the calibration accuracy and characteristics of the method are analyzed through simulation experiments, and the validity of the method is verified through the calibration of a real system.

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          Most cited references32

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          Real-time large-scale dense RGB-D SLAM with volumetric fusion

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            Error modelling, calibration and analysis of an AM–CW terrestrial laser scanner system

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              Parameter-free radial distortion correction with center of distortion estimation.

              We propose a method of simultaneously calibrating the radial distortion function of a camera and the other internal calibration parameters. The method relies on the use of a planar (or, alternatively, nonplanar) calibration grid which is captured in several images. In this way, the determination of the radial distortion is an easy add-on to the popular calibration method proposed by Zhang [24]. The method is entirely noniterative and, hence, is extremely rapid and immune to the problem of local minima. Our method determines the radial distortion in a parameter-free way, not relying on any particular radial distortion model. This makes it applicable to a large range of cameras from narrow-angle to fish-eye lenses. The method also computes the center of radial distortion, which, we argue, is important in obtaining optimal results. Experiments show that this point may be significantly displaced from the center of the image or the principal point of the camera.
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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                15 March 2019
                March 2019
                : 19
                : 6
                : 1315
                Affiliations
                [1 ]Institute of Optics and Electronics of Chinese Academy of Sciences, Chengdu 610209, China; zhangzhuang14@ 123456mails.ucas.ac.cn (Z.Z.); leh@ 123456ioe.ac.cn (E.L.); yankunioe@ 123456163.com (K.Y.); MYB_IOE@ 123456163.com (Y.M.)
                [2 ]University of Chinese Academy of Sciences, Beijing 100149, China
                Author notes
                [* ]Correspondence: zrj0515@ 123456163.com ; Tel.: +86-155-3000-3288
                [†]

                These authors contributed equally to this work.

                Article
                sensors-19-01315
                10.3390/s19061315
                6470948
                30884756
                a830be42-f895-497c-8873-e75e361fb678
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 06 February 2019
                : 11 March 2019
                Categories
                Article

                Biomedical engineering
                lrf,camera calibration,extrinsic calibration,sensors combination
                Biomedical engineering
                lrf, camera calibration, extrinsic calibration, sensors combination

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