Apparatus and method for fault diagnosis and back-up of advanced driver assistance system sensors based on deep learning

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.