基于机器学习的汽车电动座椅位姿调整方案研究

doi:10.3969/j.issn.1000-1158.2019.05.07

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Abstract To solve the coupling phenomenon in the adjustment process of auto electric seat before delivery, a method of seat pose adjustment based on machine learning is proposed. According to the internal mechanical structure of the seat, the position between specific points on the seat surface is linearly dependent. The location information of these points is collected by laser range sensor, based on the information, the piecewise ridge regression model, which is derived from the further training of ridge regression model by linear classifier is established and the adjustment scheme is given. The feasibility of the proposed method is verified by experiments, and the experimental results show that, according to the prediction of the piecewise ridge regression model, each switch only needs to be moved once to make the seat posture meet the factory standard and the error of seat posture adjustment can be reduced, so the proposed method can significantly improve the efficiency of seat posture adjustment.

Key words： metrology position and orientation adjustment segmented ridge regression machine learning

Received: 20 December 2017 Published: 01 September 2019

PACS:

TB92

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	Articles by authors
	LIU Bao-hua
	YAO Yue-xuan
	SUN Yu-kun

Cite this article:

LIU Bao-hua,YAO Yue-xuan,SUN Yu-kun. The Research of Auto Electric Seat's Position and Orientation Adjustment Method Based on Machine Learning[J]. Acta Metrologica Sinica, 2019, 40(5): 780-785.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2019.05.07 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2019/V40/I5/780