An electronic device and a method for AV trajectory planning using neural networks trained based on knowledge distillation is provided. A set of updated values of a set of variables of an objective function for trajectory planning of an ego AV are determined. A first prediction network is applied on an updated value of the set of updated values, a states of the ego AV and a set of AVs over a past time interval. Based on the application, an output is determined. The output includes states of the ego AV and set of AVs over a future time interval. The electronic device determines a set of optimal values based on the updated value and the determined output satisfying a safety constraint associated with the objective function. Further, the electronic device controls a trajectory of the ego AV based on the set of optimal values of the set of variables.
AUTONOMOUS VEHICLE TRAJECTORY PLANNING USING NEURAL NETWORK TRAINED BASED ON KNOWLEDGE DISTILLATION
2025-01-23
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 / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen |
DISTILLATION-TRAINED MACHINE LEARNING MODELS FOR EFFICIENT TRAJECTORY PREDICTION
European Patent Office | 2025
|ArXiv | 2024
|