Systems and methods for forecasting trajectories of objects. The method includes obtaining a prediction model trained to predict future trajectories of objects. The prediction model is trained over a first prediction horizon selected to encode inertial constraints in a predicted trajectory and over a second prediction horizon selected to encode behavioral constraints in the predicted trajectory. The method also include generating a planned trajectory of an autonomous vehicle by receiving state data corresponding to the autonomous vehicle, receiving perception data corresponding to an object, predicting a future trajectory of the object based on the perception data and the prediction model, and generating the planned trajectory of the autonomous vehicle based on the future trajectory of the object and the state data.
METHODS AND SYSTEMS FOR TRAJECTORY FORECASTING WITH RECURRENT NEURAL NETWORKS USING INERTIAL BEHAVIORAL ROLLOUT
VERFAHREN UND SYSTEME ZUR TRAJEKTORIEVORHERSAGE MIT REKURRENTEN NEURONALEN NETZEN MITTELS ROLLOUT VON INERTIALEM VERHALTEN
PROCÉDÉS ET SYSTÈMES DE PRÉVISION DE TRAJECTOIRE À L'AIDE DE RÉSEAUX NEURONAUX RÉCURRENTS UTILISANT UN DÉPLOIEMENT COMPORTEMENTAL INERTIEL
2023-01-11
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 |
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