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Proceedings Paper

Design and implementation of multi-spectral multi-axis parallel calibration system
Author(s): Jia-ju Ying; Jian-ling Yin; Jie Liu; Yu-dan Chen; Fu-yu Huang
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Paper Abstract

A variety of environmental detecting and perception of equipment are equipped in high integrated systems such as unmanned vehicle, unmanned aerial vehicles, and intelligent robot and so on. The equipment include laser radar, television observation device, infrared observation device and low light level observation device and so on. In order to ensure the effective fusion of multi-spectral information of multiple devices, all the optical axis of different spectrum equipment must be parallel, or the initial zero of the optical axis must be parallel. The locations of different spectral equipment in system are different, some optical axis are far apart. To achieve the goal of all-weather, arbitrary geographical conditions detecting multi-optical axis parallelism of different spectral, multi-spectral multi-axis parallel calibration system is designed. In the calibration scheme, the infrared axis is used as the first benchmark axis, and adjusts the multi-spectral parallel light pipe to parallel to the infrared axis. Then multi-spectral parallel light pipe is used as second benchmark axis to detect the parallelism of light axis of TV, low light level observation device, and laser radar. In the process of system design, on the premise of guarantee accuracy, the indicators of the parts are fully demonstrated, and the maneuverability and adjustability of the system are considered. Through the steps of design, processing, assembly and debugging, the multi-spectral multi-axis calibration system is realized. After by testing the multi-optical axis parallelism in integrated system, it is reflected that the multi-spectral multi-axis calibration system has the characteristics of reasonable design, easy to operate. And it is able to achieve rapid and high resolution multi-spectral multi-axis parallel calibration under all-weather and arbitrary geographical environment.

Paper Details

Date Published: 24 October 2017
PDF: 8 pages
Proc. SPIE 10462, AOPC 2017: Optical Sensing and Imaging Technology and Applications, 104620H (24 October 2017); doi: 10.1117/12.2282348
Show Author Affiliations
Jia-ju Ying, Shijiazhuang Mechanical Engineering College (China)
Jian-ling Yin, Shijiazhuang Mechanical Engineering College (China)
Jie Liu, Shijiazhuang Mechanical Engineering College (China)
Yu-dan Chen, Shijiazhuang Mechanical Engineering College (China)
Fu-yu Huang, Shijiazhuang Mechanical Engineering College (China)


Published in SPIE Proceedings Vol. 10462:
AOPC 2017: Optical Sensing and Imaging Technology and Applications
Yadong Jiang; Haimei Gong; Weibiao Chen; Jin Li, Editor(s)

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