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| AR Assistant Aircraft Assembly Data Error Correction Method Based on Bayesian Error Correction |
| XIAO Wenlei, ZOU Jie, FENG Jiangwei, ZHAO Gang |
| (School of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China) |
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Abstract Augmented reality (AR) technology can effectively improve the efficiency of aircraft assembly. Through the use of wireless networks, augmented reality devices can conveniently access various artificial intelligence services, and use optical character recognition technology in natural scenes as a cloud service for AR assistant assembly to reduce manual entry. Aiming at problem of cable recognition errors in AR assistant aircraft cable assembly, this paper proposes a postprocessing process for data error correction based on Bayesian error correctors and aviation cable rules, and uses a noise channel model to identify cables. The result data was inferred and corrected, and an AR assistant cable assembly system based on cloud services was constructed. Under the environment of this system, the AR assistant aviation cable assembly experiment was conducted to improve the accuracy of cable recognition from 88% to 98%, which verified that the system has certain efficiency and guaranteed correctness.
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2020, 
