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    LOW-LEVEL SENSOR FUSION
    13.
    发明申请
    LOW-LEVEL SENSOR FUSION 审中-公开

    公开(公告)号：US20180067489A1

    公开(公告)日：2018-03-08

    申请号：US15287537

    申请日：2016-10-06

    Applicant: Mentor Graphics Corporation

    Inventor： Rainer Oder ,  Andreas Erich Geiger ,  Ljubo Mercep ,  Matthias Pollach

    IPC: G05D1/00 ,  G05D1/02

    CPC classification number: G05D1/0088 ,  G05D1/0231 ,  G05D1/0255 ,  G05D1/0257 ,  G06K9/00791

    Abstract: This application discloses a computing system to implement low-level sensor fusion in an assisted or automated driving system of a vehicle. The low-level sensor fusion can include receiving raw measurement data from sensors in the vehicle and temporally aligning the raw measurement data based on a time of capture. The low-level sensor fusion can include spatially aligning measurement coordinate fields of the sensors into an environmental coordinate field based, at least in part, on where the sensors are mounted in the vehicle, and then populating the environmental coordinate field with raw measurement data captured by the sensors based on the spatial alignment of the measurement coordinate fields to the environmental coordinate field. The low-level sensor fusion can detect at least one detection event or object based, at least in part, on the raw measurement data from multiple sensors as populated in the environmental coordinate field.

    Object recognition and classification using multiple sensor modalities
    15.
    发明授权
    Object recognition and classification using multiple sensor modalities 有权

    公开(公告)号：US10740658B2

    公开(公告)日：2020-08-11

    申请号：US15260141

    申请日：2016-09-08

    Applicant: Mentor Graphics Corporation

    Inventor： Matthias Arnold Pollach ,  Ljubo Mercep

    IPC: G06K9/62 ,  G06K9/00 ,  G06K9/32

    Abstract: Object recognition and classification based on data from multiple sensor modalities is disclosed. A computing system can detect an event in a monitored portion of an environment coordinate field associated with a vehicle. The computing system can retrieve data associated with the detected event from a plurality of modalities. At least one of the modalities can include raw data from a sensor associated with the vehicle. The computing system can classify the detected event based at least in part on the retrieved data and one or more parameters of a classifier.

    MAP BUILDING WITH SENSOR MEASUREMENTS
    17.
    发明申请
    MAP BUILDING WITH SENSOR MEASUREMENTS 审中-公开

    公开(公告)号：US20180067966A1

    公开(公告)日：2018-03-08

    申请号：US15420976

    申请日：2017-01-31

    Applicant: Mentor Graphics Corporation

    Inventor： Rainer Oder ,  Andreas Erich Geiger ,  Ljubo Mercep ,  Matthias Pollach

    IPC: G06F17/30 ,  G05D1/00 ,  G05D1/02

    Abstract: This application discloses a computing system to implement map building in an assisted or automated driving system. The computing system can track movement of a vehicle based on sensor measurement data populated in an environmental model and vehicle movement measurements. The computing system can correlate the tracked movement of the vehicle to map data based on a previously detected location of the vehicle relative to the map data. The computing system can modify the map data to include the sensor measurement data utilized to track the movement of the vehicle based on the correlation of the tracked movement of the vehicle to map data. The computing system can modify the map data by building a map of the sensor measurement data and the tracked movement of the vehicle, and populating the map data with the built map.

    SITUATIONAL AWARENESS DETERMINATION BASED ON AN ANNOTATED ENVIRONMENTAL MODEL
    18.
    发明申请
    SITUATIONAL AWARENESS DETERMINATION BASED ON AN ANNOTATED ENVIRONMENTAL MODEL 审中-公开

    公开(公告)号：US20180067488A1

    公开(公告)日：2018-03-08

    申请号：US15260149

    申请日：2016-09-08

    Applicant: Mentor Graphics Corporation

    Inventor： Matthias Arnold Pollach ,  Ljubo Mercep

    IPC: G05D1/00 ,  B60W40/02 ,  G06N99/00 ,  G06N7/00 ,  H04W4/00

    Abstract: Determining a situational annotation of a vehicle based on an annotated environmental model is disclosed. A computing system receives an annotated environmental model for a vehicle. The annotated environmental model can include data from a plurality of modalities. The computing system uses a classifier to determine an annotation of the vehicle situation based, at least in part, on the annotated environmental model. The computing system provides the situational annotation to a driving functionality system. The driving functionality system is configured to use the situational annotation to generate signals to control operation the vehicle.

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