An autonomous vehicle uses machine learning based models such as neural networks to predict hidden context attributes associated with traffic entities. The hidden context represents behavior of the traffic entities in the traffic. The machine learning based model is configured to receive a video frame as input and output likelihoods of receiving user responses having particular ordinal values. The system uses a loss function based on cumulative histogram of user responses corresponding to various ordinal values. The system identifies user responses that are unlikely to be valid user responses to generate training data for training the machine learning mode. The system identifies invalid user responses based on response time of the user responses.
Neural network based prediction of hidden context of traffic entities for autonomous vehicles
2023-02-07
Patent
Elektronische Ressource
Englisch
IPC: | G06V / 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 / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
NEURAL NETWORK BASED PREDICTION OF HIDDEN CONTEXT OF TRAFFIC ENTITIES FOR AUTONOMOUS VEHICLES
Europäisches Patentamt | 2021
|Europäisches Patentamt | 2020
|Europäisches Patentamt | 2022
|NEURAL NETWORK BASED NAVIGATION OF AUTONOMOUS VEHICLES THROUGH TRAFFIC ENTITIES
Europäisches Patentamt | 2023
|NEURAL NETWORK BASED NAVIGATION OF AUTONOMOUS VEHICLES THROUGH TRAFFIC ENTITIES
Europäisches Patentamt | 2020
|