A system for faster object attribute and/or intent classification may include an machine-learned (ML) architecture that processes temporal sensor data (e.g., multiple instances of sensor data received at different times) and includes a cache in an intermediate layer of the ML architecture. The ML architecture may be capable of classifying an object's intent to enter a roadway, idling near a roadway, or active crossing of a roadway. The ML architecture may additionally or alternatively classify indicator states, such as indications to turn, stop, or the like. Other attributes and/or intentions are discussed herein.


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    Title :

    A MACHINE-LEARNED ARCHITECTURE FOR EFFICIENT OBJECT ATTRIBUTE AND/OR INTENTION CLASSIFICATION


    Additional title:

    MASCHINENERLERNTE ARCHITEKTUR ZUR EFFIZIENTEN KLASSIFIZIERUNG VON OBJEKTATTRIBUTEN UND/ODER -ABSICHTEN
    ARCHITECTURE APPRISE PAR MACHINE POUR UNE CLASSIFICATION D'INTENTION ET/OU D'ATTRIBUT D'OBJET EFFICACE


    Contributors:
    DAS SUBHASIS (author) / LIN YI-TING (author) / MA DEREK XIANG (author) / ULUTAN OYTUN (author)

    Publication date :

    2024-09-18


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06V / 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 / B60T Bremsanlagen für Fahrzeuge oder Teile davon , VEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF



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