Embodiments of the present disclosure comprise systems and methods that implement domain adaptation. For example, some embodiments may improve standard machine learning systems by providing a best estimation of unknown situations using existing trained models. The trained models may be adapted to use in new scenarios that might not have been identified during the training phase of the machine learning. Using this adaptive approach, the model can help the vehicle system prepare a best estimate of the environment that was not identified during training and take an appropriate action.
CONFIDENCE-ESTIMATED DOMAIN ADAPTATION
16.12.2021
Patent
Elektronische Ressource
Englisch
IPC: | G06K Erkennen von Daten , RECOGNITION OF DATA / G05B Steuer- oder Regelsysteme allgemein , CONTROL OR REGULATING SYSTEMS IN GENERAL / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
Confidence-estimated domain adaptation for training machine learning models
Europäisches Patentamt | 2023
|Confidence level determination for estimated road geometries
Europäisches Patentamt | 2019
|CONFIDENCE LEVEL DETERMINATION FOR ESTIMATED ROAD GEOMETRIES
Europäisches Patentamt | 2017
|CONFIDENCE LEVEL DETERMINATION FOR ESTIMATED ROAD GEOMETRIES
Europäisches Patentamt | 2015
|Confidence level determination for estimated road geometries
Europäisches Patentamt | 2015
|