An image captured using a sensor on a vehicle is received and decomposed into a plurality of component images. Each component image of the plurality of component images is provided as a different input to a different layer of a plurality of layers of an artificial neural network to determine a result. The result of the artificial neural network is used to at least in part autonomously operate the vehicle.
Data pipeline and deep learning system for autonomous driving
2023-08-22
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 / G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen / G06V |
DATA PIPELINE AND DEEP LEARNING SYSTEM FOR AUTONOMOUS DRIVING
Europäisches Patentamt | 2023
|Deep Learning for Autonomous Driving
Springer Verlag | 2023
|Mastering the Data Pipeline for Autonomous Driving
Springer Verlag | 2021
|Mastering the Data Pipeline for Autonomous Driving
TIBKAT | 2021
|Autonomous Driving with Deep Reinforcement Learning
SLUB | 2023
|