公开(公告)号：US20190051172A1

公开(公告)日：2019-02-14

申请号：US15675405

申请日：2017-08-11

Applicant: HERE GLOBAL B.V.

Inventor： Leon STENNETH ,  Alex AVERBUCH ,  Gavril GIURGIU

IPC: G08G1/0967 ,  G01W1/06 ,  G01C21/36

Abstract: An approach is provided for a confidence-based road event message. For example, the approach involves aggregating road event reports (e.g., slippery road event reports) from vehicles traveling in an area of interest. The approach also involves retrieving weather data records for the area of interest for a time period corresponding to the reports. The approach may further involve determining a data freshness parameter based on an age of the reports, and a number of vehicle generating the reports. The approach further involves calculating a confidence level for the road event based on the weather data records, data freshness parameter, number of the one or more vehicles, or a combination thereof.

公开(公告)号：US20190049256A1

公开(公告)日：2019-02-14

申请号：US15675414

申请日：2017-08-11

Applicant: HERE GLOBAL B.V.

Inventor： Robert CAMP ,  Leon STENNETH ,  Alex AVERBUCH

IPC: G01C21/34

Abstract: An approach is provided for detecting false positive slippery road reports. For example, the approach involves receiving a slippery road report from a vehicle. The slippery road report, for instance, indicates that a slippery road event is detected at a location based on sensor information collected by the vehicle. The approach also involves map matching the location of the slippery road report to the mapping data to evaluate a proximity of the location to at least one geographic feature that is designated as an area where driver behavior is expected to be at least one cause of the slippery road event. The approach further involves classifying the slippery road report as the slippery road false positive report based on the evaluation.

公开(公告)号：US20180356560A1

公开(公告)日：2018-12-13

申请号：US15618927

申请日：2017-06-09

Applicant: HERE GLOBAL B.V.

Inventor： Alex AVERBUCH ,  Leon STENNETH

IPC: G01W1/10

CPC classification number: G01W1/10 ,  G01W2001/006 ,  G01W2203/00

Abstract: An approach is provided for generating a volatility index for weather data. The approach involves retrieving weather data collected from one or more weather sensors over a temporal domain, a spatial domain, or a combination thereof. The one or more weather sensors provide the weather data for at least one geographic point. The approach also involves processing the weather data to determine volatility data for at least one weather attribute, wherein the volatility data represents how much the at least one weather attribute changes over the temporal domain, the spatial domain, or a combination thereof. The approach further involves generating a volatility index to represent the volatility data.

公开(公告)号：US20170011465A1

公开(公告)日：2017-01-12

申请号：US14794466

申请日：2015-07-08

Applicant: HERE Global B.V.

Inventor： Anton ANASTASSOV ,  Leon STENNETH ,  Eric LINDER

IPC: G06Q40/08

CPC classification number: G06Q40/08

Abstract: An approach is provided for determining safety scores for locations, frequency of users traversing the locations, or a combination thereof to calculate fee rates. The approach involves determining at least one safety score associated with one or more locations, at least one user traversing the one or more locations, or a combination thereof. The approach also involves determining at least one frequency of traversal of the at least one location by the at least one user. The approach further involves causing, at least in part, a calculation of at least one fee rate for the at least one user based, at least in part, on the at least one safety score and the at least one frequency of traversal.

Abstract translation: 提供了一种用于确定位置的安全分数，穿过位置的用户的频率或其组合以计算费率的方法。 该方法包括确定与一个或多个位置相关联的至少一个安全得分，至少一个穿过一个或多个位置的用户，或其组合。 该方法还涉及由至少一个用户确定至少一个位置的至少一个遍历频率。 该方法还包括至少部分地至少部分地基于至少一个安全分数和至少一个遍历频率来计算至少一个用户的至少一个费用率。

公开(公告)号：US20170011338A1

公开(公告)日：2017-01-12

申请号：US14795566

申请日：2015-07-09

Applicant: HERE Global B.V.

Inventor： Leon STENNETH ,  Leo MODICA

IPC: G06Q10/08

CPC classification number: G06Q10/0832 ,  B64C2201/128 ,  G01C21/32 ,  G06K9/00637 ,  G06Q10/083 ,  G06Q50/30 ,  G08G5/0013 ,  G08G5/0026 ,  G08G5/0069 ,  G08G5/0086 ,  G08G5/025

Abstract: An approach is provided for providing geographic delivery location for aerial package delivery. The approach involves determining building footprint information for at least one building associated with at least one geographic address. The approach also involves determining source data associated with the at least one building, the at least one geographic address, or a combination thereof. The approach further involves processing and/or facilitating a processing of the building footprint information and the source data to determine one or more entrances associated with the at least one building. The approach also involves processing and/or facilitating a processing of the source data associated with the one or more entrances to determine one or more delivery surfaces for the at least one geographic address.

Abstract translation: 提供了一种用于提供空中包装递送的地理交付位置的方法。 所述方法涉及确定与至少一个地理地址相关联的至少一个建筑物的建筑物足迹信息。 该方法还涉及确定与至少一个建筑物，至少一个地理地址或其组合相关联的源数据。 该方法还涉及处理和/或促进对建筑物足迹信息和源数据的处理，以确定与至少一个建筑物相关联的一个或多个入口。 该方法还涉及处理和/或促进与一个或多个入口相关联的源数据的处理，以确定至少一个地理地址的一个或多个递送表面。

公开(公告)号：US20240233535A1

公开(公告)日：2024-07-11

申请号：US18094843

申请日：2023-01-09

Applicant: HERE GLOBAL B.V.

Inventor： Leon STENNETH ,  Jerome BEAUREPAIRE ,  Jeremy Michael YOUNG

IPC: G08G1/0967 ,  G08G1/01

CPC classification number: G08G1/096791 ,  G08G1/0112 ,  G08G1/0129 ,  G08G1/0141

Abstract: An apparatus, method and computer program product are provided for determining a newly established vehicle-related rule within an area. In one example, the apparatus receives sensor data indicating attributes of an area for a first period. The attributes indicate a number of vehicle-related tickets issued within the area, a parking orientation of each vehicle within the area, or a combination thereof. The apparatus compares the sensor data to historical data associated with the area. The historical data indicate the attributes of the area for one or more second periods preceding the first period. Based on comparison of the sensor data and the historical data, the apparatus determines a likelihood of a vehicle-related rule established for the area, where the vehicle-related rule did not exist during the one or more second periods. The apparatus causes a notification indicating the likelihood at a user interface.

公开(公告)号：US20240230362A9

公开(公告)日：2024-07-11

申请号：US17969450

申请日：2022-10-19

Applicant: HERE Global B.V.

Inventor： Amarnath NAYAK ,  Leon STENNETH ,  Alex AVERBUCH

IPC: G01C21/00 ,  G06V10/764 ,  G06V10/82 ,  G06V20/58 ,  G08G1/01

CPC classification number: G01C21/3811 ,  G01C21/3867 ,  G06V10/764 ,  G06V10/82 ,  G06V20/58 ,  G08G1/0125 ,  G06V2201/08

Abstract: The disclosure provides a method, a system, and a computer program product for updating map data. The method comprises obtaining vehicle sensor data associated with first spatial data and first temporal data related to one or more hazard-based event. The method may further include obtaining image data associated with second spatial data and second temporal data related to one or more hazard-based event. The method may further include combining the first spatial data with the second spatial data based on a match between the first spatial data and the second spatial data and between the first temporal data and the second temporal data respectively. The method may further include updating the map data based on the combining.

公开(公告)号：US20240200975A1

公开(公告)日：2024-06-20

申请号：US18085176

申请日：2022-12-20

Applicant: HERE Global B.V.

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

IPC: G01C21/00 ,  G01C21/36

CPC classification number: G01C21/3822 ,  G01C21/3691 ,  G01C21/3841

Abstract: The disclosure provides a system, a method, and a computer program product for detecting active road work zones. The system obtains first sensor data associated with a detection of a road work zone, using a first sensor type and obtains second sensor data associated with presence of at least one individual in the road work zone, using a second sensor type. Further, the system determines a confidence level associated with the detection of the road work zone based on fusing of the first sensor data and the second sensor data. The system classifies the detected road work zone as at least one of the active road work zone or a non-active road work zone, based on the confidence level. The system updates map data associated with a map of a region based on the classification.

公开(公告)号：US20240200974A1

公开(公告)日：2024-06-20

申请号：US18067342

申请日：2022-12-16

Applicant: HERE GLOBAL B.V.

Inventor： Jeremy Michael YOUNG ,  Jerome BEAUREPAIRE ,  Leon STENNETH

IPC: G01C21/00 ,  B60W10/22 ,  B60W40/06 ,  B60W50/14 ,  G06V10/70 ,  G06V20/56

CPC classification number: G01C21/3822 ,  B60W10/22 ,  B60W40/06 ,  B60W50/14 ,  G06V10/70 ,  G06V20/588 ,  B60W2050/0083

Abstract: A method, apparatus, and computer program product are provided for using visual analysis of a road surface to identify markings indicative of road surface anomalies. Methods may include, for example: receiving data from an image sensor associated with a vehicle traveling along a road segment; identifying, within the data, a visual indication of a road surface anomaly, where the visual indication is a result of the road surface anomaly; and cause at least one of: an indication of the road surface anomaly to be provided to a user of the vehicle; a vehicle operational setting to be changed responsive to the road surface anomaly; or a map update to be generated to include the road surface anomaly within a map database.

公开(公告)号：US20240200968A1

公开(公告)日：2024-06-20

申请号：US18085357

申请日：2022-12-20

Applicant: HERE GLOBAL B.V.

Inventor： Jerome BEAUREPAIRE ,  Leon STENNETH ,  Jeremy Michael YOUNG

IPC: G01C21/36 ,  G01C21/34 ,  G06N20/00

CPC classification number: G01C21/3691 ,  G01C21/3461 ,  G06N20/00

Abstract: An apparatus, method and computer program product are provided for predicting tire temperature levels. In one example, the apparatus receives input data indicating attributes of the target vehicle and attributes of target routes for the target vehicle. The apparatus causes a machine learning model to generate output data as a function of the input data, where the output data indicate a subset of the target routes of which the target vehicle can successfully traverse while using the at least one spare tire. The machine learning model is trained to generate the output data as a function of the input data based on training data, where the training data indicate events in which vehicles used spare tires to traverse routes. The training data indicate attributes of the vehicles and attributes of the routes.