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APPARATUS AND METHOD FOR FAULT DIAGNOSIS AND BACK-UP OF ADVANCED DRIVER ASSISTANCE SYSTEM SENSORS BASED ON DEEP LEARNING
APPARATUS AND METHOD FOR FAULT DIAGNOSIS AND BACK-UP OF ADVANCED DRIVER ASSISTANCE SYSTEM SENSORS BASED ON DEEP LEARNING
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机译:基于深度学习的高级驾驶员辅助系统传感器故障诊断和备份的装置和方法
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摘要
An apparatus for fault diagnosis and back-up of advanced driver assistance system sensors based on deep learning, the apparatus including: an individual sensor diagnosis unit configured to quantitatively evaluate a reliability of an output result of each sensor at each moment on the basis of a model for an output of each sensor under a normal operation; an inter-sensor mutual diagnosis unit configured to extract shared representation between the sensors and quantitatively evaluate a normal-operation reliability of the output result of each sensor on the basis of the extracted shared representation; and an integrated diagnosis unit configured to quantitatively evaluate a final reliability of each sensor on the basis of output results of the individual sensor diagnosis unit and the inter-sensor mutual diagnosis unit.
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