A monitoring system for an aircraft uses sensors configured to sense objects around the aircraft to generate a recommendation that is ultimately used to determine a possible route that the aircraft can follow to avoid colliding with a sensed object. A first algorithm generates guidance to avoid encounters with sensed airborne aircrafts. A second algorithm generates guidance to avoid encounters with sensed non-aircraft airborne obstacles and ground obstacles. The second algorithm sends inhibiting information to the first algorithm in a feedback loop based on the position of sensed non-aircraft objects. The first algorithm considers this inhibiting information when generating avoidance guidance regarding airborne aircrafts.
MACHINE LEARNING ARCHITECTURES FOR CAMERA-BASED DETECTION AND AVOIDANCE ON AIRCRAFTS
MASCHINENLERNARCHITEKTUREN ZUR KAMERABASIERTEN ERKENNUNG UND VERMEIDUNG VON FLUGZEUGEN
ARCHITECTURES D'APPRENTISSAGE MACHINE POUR UNE DÉTECTION ET UN ÉVITEMENT BASÉS SUR UNE CAMÉRA SUR DES AÉRONEFS
02.11.2022
Patent
Elektronische Ressource
Englisch
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