A computer-implemented method comprises: receiving sensor data collected during operation of a vehicle, the sensor data including images from at least one camera on the vehicle and other sensor data from at least one other sensor on the vehicle; identifying, based on the sensor data, a corner case for a first neural network model of an advanced driver assistance system (ADAS) of the vehicle; filtering the images to identify a subset of the images depicting the corner case, the filtering performed using a second neural network model; labeling the subset of the images with regard to the corner case, wherein a remainder of the images are not labeled; and retraining the first neural network model using the labeled subset of the images and a subset of the other sensor data corresponding to the subset of the images.
RETRAINING NEURAL NETWORK MODEL BASED ON SENSOR DATA FILTERED FOR CORNER CASE
UMSCHULUNG EINES NEURONALEN NETZWERKMODELLS AUF BASIS VON FÜR ECKGEHÄUSE GEFILTERTEN SENSORDATEN
RÉENTRAÎNEMENT DE MODÈLE DE RÉSEAU NEURONAL SUR LA BASE DE DONNÉES DE CAPTEUR FILTRÉES POUR UN CAS EXTRÊME
04.09.2024
Patent
Elektronische Ressource
Englisch
IPC: | G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G01S RADIO DIRECTION-FINDING , Funkpeilung |
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