Approaches, techniques, and mechanisms are disclosed relating to transformer-based AI systems for vehicle operations. A plurality of input feature vectors in a latent space of three dimensions is determined from a plurality of physical object observations derived from sensor-acquired data and non-sensor-acquired data collected for a vehicle. The three dimensions include a time dimension, a feature dimension and an embedding size dimension. A plurality of attention heads implemented in one or more transformer networks of an artificial intelligence (AI) based system is applied to the input feature vectors in the latent space to generate attention scores forming a plurality of attention layers. One or more target predictions relating to navigation operations of the vehicle are generated based at least in part on the attention scores in the plurality of attention layers. A vehicle propulsion operation is performed in accordance with the one or more target predictions.
TRANSFORMER-BASED AI PLANNER FOR LANE CHANGING ON MULTI-LANE ROAD
TRANSFORMATORBASIERTER KI-PLANER FÜR SPURWECHSEL AUF MEHRSPURIGER STRASSE
PLANIFICATEUR D'IA BASÉ SUR UN TRANSFORMATEUR POUR LE CHANGEMENT DE VOIE SUR UNE ROUTE À VOIES MULTIPLES
2025-06-18
Patent
Electronic Resource
English
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