Techniques for representing sensor data and predicted behavior of various objects in an environment are described herein. For example, an autonomous vehicle can represent prediction probabilities as an uncertainty model that may be used to detect potential collisions, define a safe operational zone or drivable area, and to make operational decisions in a computationally efficient manner. The uncertainty model may represent a probability that regions within the environment are occupied using a heat map type approach in which various intensities of the heat map represent a likelihood of a corresponding physical region being occupied at a given point in time.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Object uncertainty models


    Beteiligte:

    Erscheinungsdatum :

    2024-04-02


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    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 / G05D SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES , Systeme zum Steuern oder Regeln nichtelektrischer veränderlicher Größen



    OBJECT UNCERTAINTY MODELS

    FONSECA RASMUS / KOBILAROV MARIN / MCCLELLAND MARK JONATHON et al. | Europäisches Patentamt | 2022

    Freier Zugriff

    OBJECT UNCERTAINTY MODELS

    FONSECA RASMUS / KOBILAROV MARIN / MCCLELLAND MARK et al. | Europäisches Patentamt | 2022

    Freier Zugriff

    Object uncertainty detection

    VAN HEUKELOM MATTHEW / LEE TENCIA / WANG KAI ZHENYU | Europäisches Patentamt | 2022

    Freier Zugriff

    Measurement Uncertainty models

    Dieck, R. / Instrument Society of America; Aerospace Industries Division / Instrument Society of America: Test Measurement Division | British Library Conference Proceedings | 1996


    Object recognition using point uncertainty regions as pose uncertainty regions

    Shimshoni, I. / Sasporta, A. | British Library Online Contents | 2006