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Laser beams-based localization methods for Boom-type roadheader using underground camera non-uniform blur model

Yang, W, Zhang, X, Ma, H and Zhang, G (2020) Laser beams-based localization methods for Boom-type roadheader using underground camera non-uniform blur model. IEEE Access. ISSN 2169-3536

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Abstract

The efficiency of automatic underground tunneling is significantly depends on the localization accuracy and reliable for the Boom-type roadheader. In comparison with other underground equipment positioning methods, vision-based measurement has gained attention for its advantages of noncontact and no accumulated error. However, the harsh underground environment, especially the geometric errors brought by the vibration of the machine body to the underground camera model, has a certain influence on the accuracy and stability for the vision-based underground localization. In this paper, a laser beams-based localization methods for the machine body of Boom-type roadheader is presented, which can tackle the dense-dust, low illumination environment with the stray lights interference. Taking mining vibration into consideration, an underground camera non-uniform blur model that incorporate the two-layer glasses refraction effect was established to eliminate vibration errors. The blur model explicitly reveals the change of imaging optical path under the influence of vibration and double layer explosion-proof glass. On the basis of this, the underground laser beams extraction and positioning are presents, which is with well environmental adaptability, and the improved 2P3L (two-points-three-lines) localization model from line correspondences are developed. Experimental evaluation are designed to verify the performance of the proposed method, and the deblurring algorithm is investigated and evaluated. The results show that the proposed methods is effective to restore the blurred laser beams image that caused by the vibration, and can meet the precision need of roadheader body localization for roadway construction in coal mine.

Item Type: Article
Uncontrolled Keywords: 08 Information and Computing Sciences, 09 Engineering, 10 Technology
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TJ Mechanical engineering and machinery
T Technology > TK Electrical engineering. Electronics. Nuclear engineering
T Technology > TN Mining engineering. Metallurgy
Divisions: Engineering
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date Deposited: 26 Oct 2020 09:22
Last Modified: 26 Oct 2020 09:22
DOI or Identification number: 10.1109/access.2020.3032368
URI: https://researchonline.ljmu.ac.uk/id/eprint/13889

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