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Removing noise caused by vehicular movement from sensor signals using Deep Neural Networks
专利权人:
IEE International Electronics & Engineering S.A.
发明人:
BEISE Hans Peter,DIAS DA CRUZ Steve,SCHRÖDER Udo
申请号:
LU100925
公开号:
LU100925B1
申请日:
2018.09.10
申请国别(地区):
LU
年份:
2020
代理人:
摘要:
A method of operating a sensor device (10) in an interior (18) of a vehicle (16) for detecting at least one vehicle passenger-related physical quantity comprises steps of providing (70, 72) data sensed by the at least one sensor (12) and data sensed by at least one motion sensor device (14) that provides information regarding motion of a body (24) of the vehicle (16) as input data to at least one artificial neural network (48, 50, 52), carrying out (74) a combined deep learning scheme with the at least one artificial neural network (52), - generating (84) data of the at least one sensor (12) and data of the at least one motion sensor device (14) in a detection scenario, providing (86, 88) the data generated in the detection scenario as an input to at least one artificial neural network (52) trained by the combined deep learning scheme, and - by operating at least the artificial neural network (52) for processing the provided input data, derive (90) an output representing one or more vehicle passenger-related physical quantity or quantities, based on the carried out combined deep learning scheme.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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