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    METHOD, APPARATUS, AND SYSTEM FOR TRAFFIC SIGN LEARNING BASED ON ROAD NETWORK CONNECTIVITY
    42.
    发明申请
    METHOD, APPARATUS, AND SYSTEM FOR TRAFFIC SIGN LEARNING BASED ON ROAD NETWORK CONNECTIVITY 审中-公开

    公开(公告)号：US20190325349A1

    公开(公告)日：2019-10-24

    申请号：US15957533

    申请日：2018-04-19

    Applicant: HERE GLOBAL B.V.

    Inventor： Zhenhua ZHANG ,  Leon STENNETH ,  Sebastian ZABA

    IPC: G06N99/00

    Abstract: An approach is provided for traffic sign learning based on road network connectivity. The approach involves, for example, receiving data indicating a candidate traffic sign for a target road link. The approach also involves determining either (1) an upstream road attribute value indicated by an upstream traffic sign occurring in an upstream portion of the target road link or in an upstream road link with upstream connectivity to the target road link, or (2) an upstream mapped road attribute value of the upstream road link. The approach further involves calculating a difference between a road attribute value indicated by the candidate traffic sign and either the upstream road attribute value or the upstream mapped road value. The approach further involves assigning the candidate traffic sign and/or its candidate road attribute value to the target road link when the calculated difference is less than a threshold difference.

    METHOD AND APPARATUS FOR BUILDING A PARKING OCCUPANCY MODEL
    43.
    发明申请
    METHOD AND APPARATUS FOR BUILDING A PARKING OCCUPANCY MODEL 审中-公开

    公开(公告)号：US20180349792A1

    公开(公告)日：2018-12-06

    申请号：US15610237

    申请日：2017-05-31

    Applicant: HERE GLOBAL B.V.

    Inventor： Yunjie ZHAO ,  Gavril GIURGIU ,  Raul CAJIAS ,  Leon STENNETH ,  Eric LINDER

    IPC: G06N99/00 ,  G08G1/14 ,  G06F17/30

    CPC classification number: G06K9/00771

    Abstract: An approach is provided for generating parking occupancy data using a machine learning model. The approach involves determining one or more classification features of a road link. The approach also involves processing the one or more classification features using the machine learning model to match the road link to a link category. The approach further involves determining a parking occupancy pattern for the road link based on the link category. The approach further involves creating or updating a parking occupancy record of a geographic record corresponding to road link using the parking occupancy pattern.

    METHOD AND APPARATUS FOR DETECTING A QUALITY WEATHER PROVIDER, WEATHER STATION, OR WEATHER REPORT
    44.
    发明申请
    METHOD AND APPARATUS FOR DETECTING A QUALITY WEATHER PROVIDER, WEATHER STATION, OR WEATHER REPORT 审中-公开

    公开(公告)号：US20180307729A1

    公开(公告)日：2018-10-25

    申请号：US15495468

    申请日：2017-04-24

    Applicant: HERE Global B.V.

    Inventor： Alex AVERBUCH ,  Leon STENNETH

    IPC: G06F17/30 ,  G01W1/18

    CPC classification number: G06F17/30477 ,  G01W1/18 ,  G06F17/30241

    Abstract: An approach is provided for detecting a quality weather station, weather provider, or weather report. The approach involves retrieving a first set of weather data reported from a first set of weather stations of a first weather data provider. The approach also involves retrieving a second set of weather data reported from a second set of weather stations of a second weather data provider. The first set and second set of weather stations are located in a selected geographical area. The approach further involves interpolating the first set of weather data and the second set of weather data at common comparison locations. The approach further involves comparing the first and second interpolated weather data sets at the common comparison locations to determine an estimated quality of the first weather data provider and/or the second weather data provider.

    METHOD AND APPARATUS FOR PROVIDING AUTOMATED GENERATION OF PARKING RESTRICTION DATA USING MACHINE LEARNING
    45.
    发明申请
    METHOD AND APPARATUS FOR PROVIDING AUTOMATED GENERATION OF PARKING RESTRICTION DATA USING MACHINE LEARNING 审中-公开

    公开(公告)号：US20180150764A1

    公开(公告)日：2018-05-31

    申请号：US15362228

    申请日：2016-11-28

    Applicant: HERE Global B.V.

    Inventor： Leon STENNETH

    IPC: G06N99/00 ,  G06F17/30

    CPC classification number: G06N20/00 ,  G01C21/00 ,  G06F16/29 ,  G06Q50/00

    Abstract: An approach is provided for generating parking restriction data using a machine learning model. The approach involves determining a plurality of classification features associated with a set of labeled road links. Each of the labeled road links is labeled with a parking restriction label that indicates a parking restriction status of said each of the labeled road links. The approach also involves training the machine learning model to classify an unlabeled road link of the geographic database using the plurality of classification features. The approach further involves determining the plurality of classification features for the unlabeled road link. The approach further involves processing the plurality of classification features for the unlabeled road link using the trained machine learning model to associate an assigned parking restriction label to the unlabeled road link. The approach further involves storing the assigned parking restriction label as the parking restriction data.

    METHOD AND APPARATUS FOR GENERATING DELIVERY DATA MODELS FOR AERIAL PACKAGE DELIVERY
    46.
    发明申请
    METHOD AND APPARATUS FOR GENERATING DELIVERY DATA MODELS FOR AERIAL PACKAGE DELIVERY 审中-公开
    用于生成用于航空包装交付的交付数据模型的方法和装置

    公开(公告)号：US20170011343A1

    公开(公告)日：2017-01-12

    申请号：US14794371

    申请日：2015-07-08

    Applicant: HERE Global B.V.

    Inventor： Leon STENNETH ,  Leo MODICA

    IPC: G06Q10/08 ,  B25J9/16

    Abstract: An approach is provided for generating delivery data models for aerial package delivery. The approach involves determining at least one delivery surface data object to represent one or more delivery surfaces of at least one delivery location, wherein the one or more delivery surfaces represents at least one surface upon which to deliver at least one package. The approach further involves causing, at least in part, a creation of at least one complete delivery data model based, at least in part, on the at least one delivery surface data object to represent the at least one delivery location. The approach further involves causing, at least in part, an encoding of at least one geographic address in the at least one complete delivery data model to cause, at least in part, an association of the at least one complete delivery data model with at least one geographic location.

    Abstract translation: 提供了一种用于生成空中包裹传送的传送数据模型的方法。 所述方法包括确定至少一个递送表面数据对象以表示至少一个递送位置的一个或多个递送表面，其中所述一个或多个递送表面表示至少一个表面，在该表面上递送至少一个包装。 该方法还包括至少部分地至少部分地至少在至少一个传送表面数据对象上创建至少一个完整传送数据模型，以表示至少一个传送位置。 所述方法进一步包括至少部分地使所述至少一个完整递送数据模型中的至少一个地理地址的编码至少部分地导致所述至少一个完整递送数据模型与至少一个完整递送数据模型的关联 一个地理位置。

    METHOD AND APPARATUS FOR CAUSING A RECOMMENDATION OF A POINT OF INTEREST
    47.
    发明申请
    METHOD AND APPARATUS FOR CAUSING A RECOMMENDATION OF A POINT OF INTEREST 审中-公开
    引起兴趣点建议的方法和装置

    公开(公告)号：US20150242868A1

    公开(公告)日：2015-08-27

    申请号：US14192600

    申请日：2014-02-27

    Applicant: HERE GLOBAL B.V.

    Inventor： Timur PERELMUTOV ,  Robert CAMP ,  Toby TENNENT ,  Gavril GIURGIU ,  Mark PUNDURS ,  Justin SPELBRINK ,  Leon STENNETH ,  Dereje BEFECADU

    IPC: G06Q30/02

    Abstract: An approach is provided for determining at least one distribution of a plurality of current values for at least one dynamic content parameter associated with a plurality of points of interest within a predetermined proximity to at least one target point of interest. The approach involves determining at least one distribution mean and at least one distribution standard deviation for the at least one distribution of the plurality of current values. The approach also involves determining at least one set of historical values for the at least one dynamic content parameter for the at least one target point of interest. The approach further involves determining at least one estimated current value for the at least one dynamic content parameter associated with the at least one target point of interest based, at least in part, on the at least one set of historical values, the at least one distribution mean, and the at least one distribution standard deviation.

    Abstract translation: 提供了一种用于确定与至少一个目标感兴趣点的预定接近度内的与多个兴趣点相关联的至少一个动态内容参数的多个当前值的至少一个分布的方法。 该方法涉及确定多个当前值的至少一个分布的至少一个分布均值和至少一个分布标准偏差。 该方法还涉及为至少一个目标感兴趣点确定至少一个动态内容参数的至少一组历史值。 所述方法进一步包括至少部分地基于所述至少一组历史值来确定与所述至少一个目标兴趣点相关联的所述至少一个动态内容参数的至少一个估计当前值，所述至少一个动态内容参数 分布平均值，以及至少一个分布标准偏差。

    METHOD AND APPARATUS FOR SUPPRESSING A FALSE POSITIVE ROADWORK ZONE
    48.
    发明公开
    METHOD AND APPARATUS FOR SUPPRESSING A FALSE POSITIVE ROADWORK ZONE 审中-公开

    公开(公告)号：US20240221498A1

    公开(公告)日：2024-07-04

    申请号：US18091760

    申请日：2022-12-30

    Applicant: HERE Global B.V.

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

    IPC: G08G1/01 ,  B60W60/00

    CPC classification number: G08G1/0125 ,  B60W60/001

    Abstract: An approach is provided for suppressing false positive reports of detectable road events. For example, the approach involves receiving a detection of a roadwork zone and a time-to-live period associated with the roadwork zone. The approach also involves receiving a subsequent observation of the roadwork zone. The subsequent observation is generated based on sensor data captured by at least one sensor associated with at least one vehicle traveling within proximity of the roadwork zone. The approach further involves classifying the subsequent observation as a false positive observation based on determining that the subsequent observation is created after the time-to-live period. The approach further involves initiating a blacklisting of the roadwork zone as a false positive roadwork zone based on the false positive observation. The approach further involves providing the blacklisting as an output.

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