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    METHOD AND APPARATUS FOR PROVIDING A MAP DATA UPDATE BASED ON REGION-SPECIFIC DATA TURBULENCE
    71.
    发明申请
    METHOD AND APPARATUS FOR PROVIDING A MAP DATA UPDATE BASED ON REGION-SPECIFIC DATA TURBULENCE 审中-公开

    公开(公告)号：US20190096253A1

    公开(公告)日：2019-03-28

    申请号：US15719122

    申请日：2017-09-28

    Applicant: HERE GLOBAL B.V.

    Inventor： Leon STENNETH

    IPC: G08G1/14 ,  G06F17/30

    Abstract: An approach is provided for map data updates based on region-specific data turbulence. The approach involves, for example, retrieving historical map data for the map region and segmenting the historical map data into a time series including at least a first time epoch and a second time epoch. The approach also involves calculating a first representative value for the first time epoch based on the historical map data segmented into the first time epoch, and a second representative value for the second time epoch based on the historical map data segmented into the second time epoch. The approach further involves calculating the map data turbulence based on the first representative value and the second representative value.

    METHOD AND APPARATUS FOR PROVIDING VEHICLE CLASSIFICATION BASED ON AUTOMATION LEVEL
    72.
    发明申请
    METHOD AND APPARATUS FOR PROVIDING VEHICLE CLASSIFICATION BASED ON AUTOMATION LEVEL 有权
    基于自动化水平提供车辆分类的方法和装置

    公开(公告)号：US20160247394A1

    公开(公告)日：2016-08-25

    申请号：US14631453

    申请日：2015-02-25

    Applicant: HERE Global B.V.

    Inventor： Leon STENNETH

    IPC: G08G1/01

    CPC classification number: G08G1/0112 ,  G07C5/008 ,  G07C5/0808 ,  G08G1/0129 ,  G08G1/0141 ,  G08G1/015

    Abstract: An approach is provided for classifying one or more vehicles based on their level of automation. The approach involves determining training sensor data collected during at least one driving operation of one or more vehicles, wherein one or more automation levels of the one or more vehicles are known. The approach also involves determining one or more sensor signatures for the one or more automation levels based, at least in part, on one or more values of one or more classification features extracted from the training sensor data. The approach further involves causing, at least in part, a classification of one or more other vehicles according to the one or more automation levels based, at least in part, on the one or more sensor signatures and sensor data associated with the one or more other vehicles.

    Abstract translation: 提供了一种基于其自动化水平对一个或多个车辆进行分类的方法。 该方法涉及确定在一个或多个车辆的至少一个驾驶操作期间收集的训练传感器数据，其中一个或多个车辆的一个或多个自动化水平是已知的。 该方法还涉及至少部分地基于从训练传感器数据提取的一个或多个分类特征的一个或多个值来确定用于所述一个或多个自动化级别的一个或多个传感器特征。 该方法还包括至少部分地至少部分地使至少部分地基于一个或多个传感器签名和与一个或多个相关联的传感器数据的一个或多个自动化级别对一个或多个其他车辆进行分类 其他车辆。

    METHOD, APPARATUS, AND SYSTEM FOR TRAFFIC INCIDENT VERIFICATION
    73.
    发明公开
    METHOD, APPARATUS, AND SYSTEM FOR TRAFFIC INCIDENT VERIFICATION 审中-公开

    公开(公告)号：US20240271962A1

    公开(公告)日：2024-08-15

    申请号：US18109052

    申请日：2023-02-13

    Applicant: HERE Global B.V.

    Inventor： Leon STENNETH ,  Alex AVERBUCH ,  Advait Mohan RAUT ,  Bruce BERNHARDT ,  Jingwei XU

    IPC: G01C21/00

    CPC classification number: G01C21/3889 ,  G01C21/3867 ,  G01C21/387

    Abstract: An approach for traffic incident verification involves receiving a traffic message channel (TMC) message indicating a traffic incident. The TMC message indicates an extent of the traffic incident in a road graph using TMC location code(s)/offset(s). The approach also involves matching the TMC location code(s)/offset(s) to a first set of map road link(s) and offset(s) of a geographic database, determining sensor data collected from vehicle(s) travelling within the road graph. The sensor data indicates the extent as location point(s) of topology segment(s) (TSs) and TS offset(s), matching the location point(s) of the TS(s) and TS offset(s) to a second set of map road link(s) and offset(s) of the geographic database, determining an intersection set between the first and second sets, and initiating a confirmation of the traffic incident reported in the TMC message based on the sensor data of the location point(s) of the TSs in the intersection set.

    SYSTEM TO PREDICT VEHICLE PARKING BUNCHING
    75.
    发明公开
    SYSTEM TO PREDICT VEHICLE PARKING BUNCHING 审中-公开

    公开(公告)号：US20240203255A1

    公开(公告)日：2024-06-20

    申请号：US18085398

    申请日：2022-12-20

    Applicant: HERE GLOBAL B.V.

    Inventor： Jeremy Michael YOUNG ,  Leon STENNETH ,  Jerome BEAUREPAIRE

    IPC: G08G1/14 ,  G01C21/36

    CPC classification number: G08G1/146 ,  G01C21/3685 ,  G01C21/3691

    Abstract: A system, a method and a computer program product are provided to predict vehicle parking bunching in a geographic region. For example, the system is configured to obtain a plurality of contextual features and/or a plurality of sensor data related to parking information in the geographic region. The system is configured to predict a vehicle parking bunching based on a vehicle unparking threshold, a vehicle separation distance cluster threshold and/or unparking vehicle information. The system may also be configured to alert a vehicle of the vehicle parking bunching with a vehicle parking bunching notification.

    SYSTEM AND METHOD FOR GENERATING NAVIGATION INSTRUCTIONS
    76.
    发明公开
    SYSTEM AND METHOD FOR GENERATING NAVIGATION INSTRUCTIONS 审中-公开

    公开(公告)号：US20240191999A1

    公开(公告)日：2024-06-13

    申请号：US18077049

    申请日：2022-12-07

    Applicant: HERE Global B.V.

    Inventor： Jingwei XU ,  Yuxin GUAN ,  Leon STENNETH ,  Bruce BERNHARDT ,  Advait Mohan RAUT ,  Weimin HUANG

    IPC: G01C21/34 ,  G01C21/36

    CPC classification number: G01C21/3415 ,  G01C21/343 ,  G01C21/3667 ,  G01C21/3691

    Abstract: A system, a method, and a computer program product may be provided for generating navigation instructions. The system may include a memory configured to store computer executable instructions and a processor configured to execute the computer executable instructions to retrieve sensor data associated with at least one vehicle travelling along a route having at least one intersection and map data associated with the route from a map database. The sensor data indicates intersection information relating to the at least one intersection. The intersection information comprises an intersection category and an intersection type. The map data comprises traffic-related information for a plurality of intersection connected links. The processor may be further configured to determine a turn cost correction factor for the at least one intersection, based on the sensor data and the map data. The processor may be further configured to store the turn cost correction factor within the map database.

    APPARATUS AND METHODS FOR PREDICTING EVENTS IN WHICH DRIVERS FAIL TO SEE CURBS
    78.
    发明公开
    APPARATUS AND METHODS FOR PREDICTING EVENTS IN WHICH DRIVERS FAIL TO SEE CURBS 审中-公开

    公开(公告)号：US20230360532A1

    公开(公告)日：2023-11-09

    申请号：US17735922

    申请日：2022-05-03

    Applicant: HERE GLOBAL B.V.

    Inventor： Leon STENNETH ,  Jerome Beaurepaire ,  Jeremy Michael YOUNG

    IPC: G08G1/16

    CPC classification number: G08G1/165

    Abstract: An apparatus, method and computer program product are provided for predicting events in which drivers fail to see curbs while the drivers are maneuvering vehicles. In one example, the apparatus receives vehicle attribute data associated with a first vehicle, map data indicating one or more attributes of a road portion including a first curb, and sensor data indicating an orientation of a first driver within the first vehicle. The apparatus causes a machine learning model to render an output as a function of the vehicle attribute data, the map data, and the sensor data. The output indicates a likelihood of which the first driver will not be able to see the first curb at the road portion when the first driver is maneuvering the first vehicle. The machine learning model is trained to predict the output based on historical data indicating events in which second drivers maneuvered second vehicles to encounter the first curb or one or more second curbs.

    METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR AGGREGATING HAZARD POLYGONS
    80.
    发明申请
    METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR AGGREGATING HAZARD POLYGONS 有权

    公开(公告)号：US20230061528A1

    公开(公告)日：2023-03-02

    申请号：US17445741

    申请日：2021-08-24

    Applicant: HERE GLOBAL B.V.

    Inventor： Leon STENNETH ,  Amarnath NAYAK ,  Alex AVERBUCH

    IPC: G01C21/34 ,  G01C21/00

    Abstract: Embodiments described herein may provide a method for identifying hazard polygons in a geographic region from a plurality of sources and aggregating hazard polygons into a merged hazard polygon. Methods may include: receiving a first indication of a first hazard warning, where the first hazard warning includes a first hazard condition and a first hazard polygon in which the first hazard condition is estimated to be present; receiving a second indication of a second hazard warning, where the second hazard warning includes a second hazard condition and a second hazard polygon in which the second hazard condition is estimated to be present; generating, from the first hazard polygon and the second hazard polygon, a merged hazard polygon; and providing for at least one of navigational assistance or autonomous vehicle control based, at least in part, on the merged hazard polygon.

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