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1. 发明申请

US20180121483A1 METHOD, APPARATUS, AND COMPUTER PROGRAM PRODUCT FOR VERIFYING AND/OR UPDATING ROAD MAP GEOMETRY BASED ON RECEIVED PROBE DATA 审中-公开
公开(公告)号：US20180121483A1
公开(公告)日：2018-05-03
申请号：US15336267
申请日：2016-10-27
申请人： HERE Global B.V.
发明人： Gavril Giurgiu , Alex Averbuch
IPC分类号： G06F17/30
CPC分类号： G06F16/2365 , G01C21/32 , G06F16/23 , G06F16/29
摘要： A method is provided for verifying and/or updating map geometry based on a probe data. A method may include: receiving probe data from a plurality of probes within a region, where the probe data includes at least one of heading information and location information for each probe data point; matching the probe data to a link segment to generate map-matched probe data; calculating a difference between the at least one of heading information and location information of the map-matched probe data points and of the link segment; determining a statistical mean of the data; determining an error of the statistical mean of the data; and flagging the link segment for manual review in response to the statistical mean being greater than the error of the statistical mean multiplied by a biasing factor.

2. 发明授权

US09933548B1 Method, apparatus and computer program product for providing local hazard warnings 有权
公开(公告)号：US09933548B1
公开(公告)日：2018-04-03
申请号：US15392438
申请日：2016-12-28
申请人： HERE Global B.V.
发明人： Leon Stenneth , Alex Averbuch
IPC分类号： G01W1/10 , G08B21/10
CPC分类号： G01W1/10 , G08B21/10 , G08B27/006
摘要： Embodiments described herein may provide a method for providing a local hazard warning to vehicles or devices at locations near an observed weather condition. Methods may include: receiving an indication of an observed weather condition from a probe; receiving an indication of a location of the observed weather condition from the probe; generating an estimation of a local hazard at a plurality of locations proximate the location of the observed weather condition; generating a confidence level of the local hazard at each of the plurality of locations proximate the location of the observed weather condition; and generating a local hazard warning for at least one of the plurality of locations in response to the confidence level for the at least one of the plurality of locations satisfying a predefined measure.

3. 发明授权

US09584237B1 Method, apparatus, and computer program product for selecting weather stations 有权
标题翻译：用于选择气象站的方法，设备和计算机程序产品
公开(公告)号：US09584237B1
公开(公告)日：2017-02-28
申请号：US15148136
申请日：2016-05-06
申请人： HERE Global B.V.
发明人： Leon Stenneth , Alex Averbuch
IPC分类号： H04W24/00 , H04H60/71 , H04W4/02 , H04W64/00 , H04W88/02
CPC分类号： H04H60/71 , H04H60/51 , H04H60/54 , H04H60/70 , H04W4/023 , H04W4/026 , H04W64/006 , H04W88/02
摘要： A method is provided herein for selecting a combination of a subset of weather stations from among a plurality of weather stations for estimating the weather at a specific location. The method may include: receiving an indication of a plurality of weather stations within a predefined area, where the predefined area includes a first location; determining, for each of the plurality of weather stations, a distance of the weather station from the first location; calculating, for a plurality of different combinations of subsets of the plurality of weather stations, an average distance of the weather stations of each of the plurality of different combinations from the first location; calculating, for each of the different combinations of subsets, an average location relative to the first location; and selecting a combination of a subset of the plurality of weather stations based on the average distance and the average location.
摘要翻译：本文提供了一种用于从多个气象站中选择气象站的子集的组合以估计特定位置的天气的方法。该方法可以包括：在预定区域内接收多个气象站的指示，其中预定区域包括第一位置; 为所述多个气象站中的每一个确定所述气象站与所述第一位置的距离; 对于所述多个气象站的子集的多个不同组合，计算所述多个不同组合中的每一个的气象站与所述第一位置的平均距离; 为每个子集的不同组合计算相对于第一位置的平均位置; 以及基于所述平均距离和所述平均位置来选择所述多个气象站的子集的组合。

4. 发明授权

US11691646B2 Method and apparatus for generating a flood event warning for a flood prone location 有权
公开(公告)号：US11691646B2
公开(公告)日：2023-07-04
申请号：US16802039
申请日：2020-02-26
申请人： HERE Global B.V.
发明人： Alex Averbuch , Kun Lee , Leon Stenneth
IPC分类号： B60W60/00 , B60W40/06 , B60W50/14 , G05D1/02 , G07C5/00 , H04W4/90 , G01C21/34 , G06V20/56
CPC分类号： B60W60/00182 , B60W40/06 , B60W50/14 , G01C21/3461 , G05D1/0214 , G06V20/56 , G07C5/008 , H04W4/90 , B60W2050/146 , B60W2555/20 , B60W2556/45
摘要： A method, apparatus and computer program product for activating a flood event warning are described herein. In the context of a method, a location may be identified as a flood prone location. Data relating to the flood prone location may be received from one or more remote devices. The method may determine a flood confidence for the flood prone location based upon the data. The method may identify an active flood event for the flood prone location based on the flood confidence and cause a flood event warning to be activated in an instance in which the active flood event is identified.

5. 发明授权

US10896334B2 Method and system of a machine learning model for detection of physical dividers 有权
公开(公告)号：US10896334B2
公开(公告)日：2021-01-19
申请号：US16203239
申请日：2018-11-28
申请人： HERE GLOBAL B.V.
发明人： Amarnath Nayak , Leon Stenneth , Alex Averbuch
IPC分类号： G06K9/00 , G01C21/32 , G06N20/00 , H04W4/44 , G05D1/02
摘要： A method is provided for prediction of a physical divider on a road. The method comprises retrieving vehicular sensor data, map data, or a combination thereof captured over a predefined period of time for at least one segment of the road. The method further comprises aggregating the respective vehicular sensor data, map data, or the combination thereof for the at least one segment of the road to generate one or more aggregated values. The method further comprises generating output data corresponding to presence of the physical divider in the at least one segment of the road by a machine learning model based on the one or more aggregated values as an input to the machine learning model.

6. 发明授权

US10551847B2 Method, apparatus, and system for machine learning of physical dividers using map data and vehicular sensor data 有权
公开(公告)号：US10551847B2
公开(公告)日：2020-02-04
申请号：US15890009
申请日：2018-02-06
申请人： HERE GLOBAL B.V.
发明人： Leon Stenneth , Alex Averbuch
IPC分类号： G05D1/02 , G06K9/00 , G01C21/28 , G05D1/00
摘要： An approach is provided for machine learning of physical dividers. The approach, for instance, involves retrieving map data, sensor data, or a combination thereof for a segment of a road. The approach also involves retrieving ground truth data for the segment of the road. The ground truth data, for instance, indicates a true presence or a true absence of the physical divider on the segment of the road. The approach further involves processing the map data, the sensor, or a combination thereof and the ground truth data to train a machine learning model to predict the physical divider using the map data, the sensor data, or a combination thereof as an input. The approach further involves using the trained machine learning model to a generate a physical divider overlay of a map representation of a road network.

7. 发明授权

US10151592B2 Map matching quality evaluation 有权
公开(公告)号：US10151592B2
公开(公告)日：2018-12-11
申请号：US15141070
申请日：2016-04-28
申请人： HERE Global B.V.
发明人： Alex Averbuch , Dongwook Jang , Gavril Giurgiu
IPC分类号： G01C21/00 , G01C21/30 , G01C21/34 , G01S19/42
摘要： A method is provided for generating ground truth data for positional data with matched road segments. The method comprises identifying a route comprising one or more road segments. Positional data, collected while traveling the route, is received. A plurality of candidate road segments is identified. The positional data is matched to one of the plurality of candidate road segments, wherein the one or more road segments are prioritized for matches.

8. 发明授权

US09887793B2 Method, apparatus, and computer program product for selecting weather stations 有权
公开(公告)号：US09887793B2
公开(公告)日：2018-02-06
申请号：US15408767
申请日：2017-01-18
申请人： HERE Global B.V.
发明人： Leon Stenneth , Alex Averbuch
IPC分类号： H04W24/00 , H04H60/71 , H04W4/02 , H04H60/70 , H04W88/02
CPC分类号： H04H60/71 , H04H60/51 , H04H60/54 , H04H60/70 , H04W4/023 , H04W4/026 , H04W64/006 , H04W88/02
摘要： A method is provided herein for selecting a combination of a subset of weather stations from among a plurality of weather stations for estimating the weather at a specific location. The method may include: receiving an indication of a plurality of weather stations within a predefined area, where the predefined area includes a first location; determining, for each of the plurality of weather stations, a distance of the weather station from the first location; calculating, for a plurality of different combinations of subsets of the plurality of weather stations, an average distance of the weather stations of each of the plurality of different combinations from the first location; calculating, for each of the different combinations of subsets, an average location relative to the first location; and selecting a combination of a subset of the plurality of weather stations based on the average distance and the average location.

9. 发明授权

US09778061B2 Road density calculation 有权
公开(公告)号：US09778061B2
公开(公告)日：2017-10-03
申请号：US14950516
申请日：2015-11-24
申请人： HERE Global B.V.
发明人： Alex Averbuch
IPC分类号： G01C21/00 , G01C21/36
CPC分类号： G01C21/3679 , G01C21/30 , G01C21/3667
摘要： A map region is analyzed by a mobile device or by a server. The map region including one or more road segments is identified. Multiple points are selected from the map region. From each of the selected points, a distance is measured from the selected point to a nearest road segment of the one or more road segments. A road density value is determined from the distances. The road density value may be based on an average of the distances. In one example, the road density value is an inverse of the average of the distances. The road density value may be a parameter for matching subsequent probe points to a road segment in the map region.

10. 发明授权

US11537944B2 Method and system to generate machine learning model for evaluating quality of data 有权
公开(公告)号：US11537944B2
公开(公告)日：2022-12-27
申请号：US16738652
申请日：2020-01-09
申请人： HERE Global B.V.
发明人： Amarnath Nayak , Leon Stenneth , Alex Averbuch
IPC分类号： G06N20/20 , G06N20/00
摘要： A system, a method and a computer program product are provided for evaluating quality of data, such as sensor data and map data, using a machine learning model. The system may include at least one memory configured to store computer executable instructions and at least one processor configured to execute the computer executable instructions to obtain first sensor features of the first sensor data associated with a road object in a first geographic region, first map features of the first map data associated with the road object and ground truth data associated with the road object. The processor may be configured to generate the machine learning model by configuring the ground truth data and calculating first information scores for each of the first sensor features and the first map features by recursively splitting each of the first sensor features and the first map features.

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