A system receives information describing paths traversed by vehicles of a vehicle type, for example, a bicycle or a motorcycle. The system determines locations along the paths. For each location the system determines a measure of likelihood of encountering vehicles of the vehicle type in traffic at the location. The system selects a subset of locations based on the measure of likelihood and obtains sensor data captured at the subset of locations. The system uses the sensor data as training dataset for training a machine learning based model configured to receive input sensor data describing traffic and output a score used for navigation of autonomous vehicles. The machine learning model is provided to a vehicle, for example, an autonomous vehicle for navigation of the autonomous vehicle.
GENERATING TRAINING DATA FOR MACHINE LEARNING BASED MODELS FOR AUTONOMOUS VEHICLES
2023-10-26
Patent
Electronic Resource
English
IPC: | 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 |
GENERATING TRAINING DATA FOR MACHINE LEARNING BASED MODELS FOR AUTONOMOUS VEHICLES
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