Calibration Method of Relative Position and Pose Between Dual Two-Dimensional Laser Radar

2017 ◽  
Vol 44 (10) ◽  
pp. 1004005
Author(s):  
陈健武 Chen Jianwu ◽  
全思博 Quan Sibo ◽  
全燕鸣 Quan Yanming ◽  
郭清达 Guo Qingda
2019 ◽  
Vol 16 (5) ◽  
pp. 172988141987678
Author(s):  
Tao Song ◽  
Bang-Guo Wei ◽  
Shuai Guo ◽  
Jiang-Tao Peng ◽  
Dong-Xiao Han

In this article, a method for calibrating the relative position between dual two-dimensional laser range finders is proposed. This relative position is affected by the manufacture or assembling error of mobile platform, and this error could reduce the accuracy of localization. This article focuses on three-degree-of-freedom calibration, that is, one rotational and two translational degrees of freedom. The entire calibration process can be summed up into three steps. The first step is to allow the dual finders to scan one corner at the same time and then extract the parameters of the corner. The second step is to establish a cost function which is established according to the direction vector of the line and the repeatability of the corners. With this function, the genetic algorithm is used to obtain the final calibration result. Moreover, the finder systematic error and the statistical error are also considered into this article. Simulations and experiments are carried out to verify the proposed method.


2001 ◽  
Author(s):  
M. Joodaki ◽  
G. Kompa ◽  
S. M.Golam Arshad ◽  
V. Ahmadi ◽  
M. K. Moravvej-Farshi

2013 ◽  
Vol 662 ◽  
pp. 777-780
Author(s):  
Wen Guo Li ◽  
Shao Jun Duan

We present a convenient calibration method for structured light projection system. The proposed clibration approach can realize 3D shape measurement without projector calibration, without system calibration, without precise linear z stage to be used, the relative position between camera and projector can be arbitrary, and the only involved device is a plane board. Experiment results validated that the accuracy of the proposed approach.


2020 ◽  
Vol 59 (28) ◽  
pp. 8595
Author(s):  
Shuo Zhang ◽  
Lipeng Sun ◽  
Yongran Chen ◽  
Yong Bi

2011 ◽  
Author(s):  
Guoqing Ding ◽  
Xin Chen ◽  
Lihua Wang ◽  
Lihua Lei ◽  
Yuan Li

2018 ◽  
Vol 12 (5) ◽  
pp. 707-713 ◽  
Author(s):  
Hiroki Shimizu ◽  
◽  
Ryousuke Yamashita ◽  
Takuya Hashiguchi ◽  
Tasuku Miyata ◽  
...  

An on-machine measurement method, called the square-layout four-point (SLFP) method with angle compensation, for evaluating two-dimensional (2-D) profiles of flat machined surfaces is proposed. In this method, four displacement sensors are arranged in a square and mounted to the scanning table of a 2-D stage. For measuring the 2-D profile of a target plane, height data corresponding to all measuring points are acquired by means of the raster scanning motion. At the same time, pitching data of the first primary scan line and rolling data of the first subsidiary scan line are monitored by means of two auto-collimators to compensate for major profile errors that arise out of the posture error. Use of the SLFP method facilitates connection of the results of straightness-measurements results obtained for each scanning line by using two additional sensors and rolling data of the first subsidiary scan line. Specifically, the height of a measuring point is calculated by means of a recurrence equation using three predetermined height data for adjacent points in conjunction with data acquired by the four displacement sensors. Results of the numerical simulation performed in this study demonstrate higher efficiency of the SLFP method with angle compensation. During actual measurement, however, it is difficult to perfectly align inline the origin height of each displacement sensor. With regard to the SLFP method, zero-adjustment error is defined as the relative height of a sensor’s origin with respect to the plane comprising origins of the other three sensors. This error accumulates in proportion to number of times the recurrence equation is applied. Simulation results containing the zero-adjustment error demonstrate that accumulation of the said error results in unignorable distortion of measurement results. Therefore, a new self-calibration method for the zero-adjustment error has been proposed. During 2-D profile measurement, two different calculation paths – the raster scan path and orthogonal path – can be used to determine the height of a measurement point. Although heights determined through use of the two paths must ideally be equal, they are observed to be different because accumulated zero-adjustment errors for the two paths are different. In view of this result, the zero-adjustment error can be calculated backwards and calibrated. Validity of the calibration method has been confirmed via simulations and experiments.


2013 ◽  
Vol 155 (4) ◽  
pp. 505-511 ◽  
Author(s):  
T. Matsumoto ◽  
H. Harano ◽  
A. Masuda ◽  
J. Nishiyama ◽  
H. Matsue ◽  
...  

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