SELF-SUPERVISED MULTI-SENSOR TRAINING AND SCENE ADAPTATION

SELF-SUPERVISED MULTI-SENSOR TRAINING AND SCENE ADAPTATION

A sensing system including at least a first sensor sensing first data from a scene, at least a second sensor sensing second data from the scene, a first teacher/student machine learning subsystem employable by the first sensor to process the first data and a second student/teacher machine learning s...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: NITZAN, Alon, NITZAN, Yotam
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:A sensing system including at least a first sensor sensing first data from a scene, at least a second sensor sensing second data from the scene, a first teacher/student machine learning subsystem employable by the first sensor to process the first data and a second student/teacher machine learning subsystem employable by the second sensor to process the second data, the first teacher/student machine learning subsystem being operative to teach the second student/teacher machine learning subsystem in a first instance, and the second student/teacher machine learning subsystem being operative to teach the first teacher/student machine learning subsystem in a second instance.