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公开(公告)号:US20210158157A1
公开(公告)日:2021-05-27
申请号:US17084501
申请日:2020-10-29
Applicant: THALES
Inventor: Thierry GANILLE , Jean-Emmanuel HAUGEARD , Andrei STOIAN
Abstract: A neural network learning method for aircraft landing assistance, the method includes receiving a set of labeled learning data comprising sensor data associated with a ground truth representing at least a landing runway and an approach light bar; running an artificial neural network deep learning algorithm on the learning data set, the deep learning algorithm using a cost function called runway threshold trapezium, parameterized for the recognition of a runway threshold and of approach light bars; and generating a trained artificial intelligence model for landing runway recognition.