A method executed by a computing device of an autonomous vehicle includes (i) receiving first sensor data from a network of one or more sensors; (ii) generating a first prediction, based at least in part on the received first sensor data, for an object being associated with a first state with a first confidence value; (iii) receiving second sensor data from the network of one or more sensors after elapsing of time t after receiving the first sensor data; (iv) generating a second prediction, based at least in part on the received second sensor data, for the object being associated with a second state with a second confidence value; and (v) updating a state of the object in a hierarchical representation tree to be the first state or the second state based upon a higher confidence value between the first confidence value and the second confidence value.


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    Title :

    METHODS AND SYSTEMS FOR MULTIPLE OBJECT CLASSIFICATION TRACKING IN AUTONOMOUS VEHICLES


    Contributors:
    JIA BIN (author) / CHAUDHRY HASEEB (author)

    Publication date :

    2025-06-26


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    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 / G01C Messen von Entfernungen, Höhen, Neigungen oder Richtungen , MEASURING DISTANCES, LEVELS OR BEARINGS



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