A system comprising a computer including a processor and a memory, the memory including instructions such that the processor is programmed to: determine whether a difference between a friction coefficient label and a determined friction coefficient corresponding to an image depicting a surface is greater than a label threshold; modify the determined friction coefficient to equal the friction coefficient label when the difference is greater than the label threshold; and retrain a neural network using the image and the friction coefficient label.
REAL-TIME NEURAL NETWORK RETRAINING
2022-06-30
Patent
Electronic Resource
English
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 |
NTIS | 1982
|Elsevier | 1985
RETRAINING NEURAL NETWORK MODEL BASED ON SENSOR DATA FILTERED FOR CORNER CASE
European Patent Office | 2023
|BACKPLATE, RETRAINING STRAP, AMS5510
SAE Technical Papers | 2022
N. S. Savannah. Operator Retraining Program
NTIS | 1970