Provided are methods for augmenting data related to generation of vehicle trajectories, which include predicting, using a machine learning model, a first trajectory of a vehicle at a first time in an environment surrounding the vehicle and including at least one object, detecting a deviation of the predicted first trajectory at the first time from a first ground truth trajectory of the vehicle and determining that, at the first time, the deviation satisfies a threshold, predicting, using the machine learning model, a second trajectory of the vehicle based on the predicted first trajectory of the vehicle and a second ground truth trajectory of at least one object at a second time being subsequent to the first time, and generating a training dataset for training the machine learning model using the predicted first and second trajectories of the vehicle. Systems and computer program products are also provided.
SEMI-CLOSED LOOP ROLLOUTS FOR DATA AUGMENTATION
ROLLOUTS MIT HALBGESCHLOSSENER SCHLEIFE ZUR DATENVERSTÄRKUNG
MISES EN PLACE DE BOUCLE SEMI-FERMÉE POUR AUGMENTATION DE DONNÉES
30.04.2025
Patent
Elektronische Ressource
Englisch
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