Lernen einer Szenariobasierten Verteilung von Menschlichem Fahrverhalten für ein Modell zur Realistischen Simulation und zur Ableitung eines Fehlermodells von Stationären und Mobilen Sensoren

Details

Veröffentlichungs-Nr.

EP3722907

Aktenzeichen

EP19168036

Anmeldetag

9. April 2019

Veröffentlichung

22. Februar 2023

Erteilung

22. Februar 2023

Rechtsraum

EP

IPC

G05D1/02

Abstract

An system 100 for determining a computer model of realistic driving behavior comprises one or more environmental sensors 110, which are configured to provide sensor data of observed vehicles 140-1 and 140-2 within a traffic area 150. One or more position sensors 160 installed on the observed vehicles 140-1 and 140-2 provide positional data of the observed vehicles 140-1 and 140-2. A processor 120 is configured to extract observed vehicle behavior data from the sensor data and to extract driving behavior training data 310 from observed vehicle behavior data of vehicles interacting with each other within the traffic area 150. The processor determines at least one error model by comparing the positional data with the sensor data of the one or more environmental sensors. The system 100 is further using a machine learning based driving behavior simulator 130, which is configured to adjust driving behavior model parameters 320. The driving behavior model parameters 320 can be determined by reducing a deviation between the driving behavior training data 310 modified by the at least one error model and simulated vehicle behavior data 340, which is generated by the machine learning based driving behavior simulator 130.

Anmelder

Firma

Bayerische Motoren Werke Aktiengesellschaft

Land

🇩🇪 Deutschland

Fachgebiete