A new method of vehicle position measurement by use of laser beam tracking

1987 ◽  
Vol 2 (2) ◽  
pp. 121-135
Author(s):  
Toshihiro Tsumura ◽  
Naofumi Fujiwara ◽  
Masafumi Hashimoto ◽  
TENG TANG
1985 ◽  
Vol 3 (6) ◽  
pp. 521-530
Author(s):  
Toshihiro TSUMURA ◽  
Naofumi FUJIWARA ◽  
Masafumi HASHIMOTO ◽  
Tang TENG

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 4007 ◽  
Author(s):  
Qian Li ◽  
Jiabin Wu ◽  
Yunshan Chen ◽  
Jingyuan Wang ◽  
Shijie Gao ◽  
...  

In this paper, we propose a new method to improve the position measurement accuracy for Laguerre-Gaussian beams on a quadrant detector (QD). First, the error effects of the detector diameter and the gap size are taken into account, and the position error compensation factor is introduced into the conventional formula. Then, in order to reduce the number of parameters, the concept of effective radius is proposed. Thus, a new analytical expression is obtained with a best fit using the least square method. It is verified by simulation that this approach can reduce the maximum error by 97.4% when the beam radius is 0.95 mm; meanwhile, the root mean square errors under different radii are all less than 0.004 mm. The results of simulation show that the new method could effectively improve the accuracy of the QD measurement for different radii. Therefore, the new method would have a good prospect in the engineering practice of beam position measurements.


Robotica ◽  
2020 ◽  
pp. 1-11
Author(s):  
Yun Ling ◽  
Jian Wu ◽  
Weiping Zhou ◽  
Yubiao Wang ◽  
Changcheng Wu

SUMMARY This paper proposes a novel laser beam tracking mechanism for a mobile target robot that is used in shooting ranges. Compared with other traditional tracking mechanisms and modules, the proposed laser beam tracking mechanism is more flexible and low cost in use. The mechanical design and the working principle of the tracking module are illustrated, and the complete control system of the mobile target robot is introduced in detail. The tracking control includes two main steps: localizing the mobile target robot with regards to the position of the laser beam and tracking the laser beam by the linear quadratic regulator (LQR). First of all, the state function of the control system is built for this tracking system; second, the control law is deduced according to the discretized state function; lastly, the stability of the control method is proved by the Lyapunov theory. The experimental results demonstrate that the Hue, Saturation, Value feature-extracting method is robust and is qualified to be used for localization in the laser beam tracking control. It is verified through experiments that the LQR method is of better performance than the conventional Proportional Derivative control in the aspect of converge time, lateral error control, and distance error control.


2005 ◽  
Author(s):  
Changqing Cao ◽  
Xiaodong Zeng ◽  
Yuying An ◽  
Qiang Xu ◽  
Zhejun Feng

2009 ◽  
Vol 5 (5) ◽  
pp. 383-386 ◽  
Author(s):  
Feng-ling You ◽  
Qi-bo Feng ◽  
Bin Zhang ◽  
Yu-sheng Zhai ◽  
Rui Cao ◽  
...  

1995 ◽  
Author(s):  
Vadim A. Parfenov ◽  
Sergey N. Rodin ◽  
Ilya S. Etsin ◽  
Gennady F. Zajtsev ◽  
Sergey V. Kruzhalov ◽  
...  

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