A system for sensor fusion, typically for tracking objects near a vehicle, includes one or more sensors, a model component, and an inference component; a method is also disclosed. The model component is configured to calculate values in a joint-probabilistic graphical model based on the sensor data. The graphical model includes nodes corresponding to random variables and edges indicating correlations between the nodes; in a method this may include dividing the region near the vehicle into a grid and nodes may represent a binary occupancy of cells of the grid. The inference component is configured to detect and track obstacles near a vehicle based on the sensor data and the model, using a dimensionality reduction algorithm which most preferably is a weighted-integrals-and-sums-by-hashing (WISH) algorithm. Information about the location of the objects may be provided to an automatic driving or automatic assistance system, which may select a driving path using this information.


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    Title :

    Probabilistic inference using weighted-integrals-and-sums-by-hashing for object tracking


    Contributors:

    Publication date :

    2017-06-21


    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 / G01S RADIO DIRECTION-FINDING , Funkpeilung / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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