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公开(公告)号：US20240175691A1
公开(公告)日：2024-05-30
申请号：US18059572
申请日：2022-11-29
Applicant: HERE Global B.V.
Inventor： Jerome Beaurepaire , Gianpietro Battistutti
IPC: G01C21/34
CPC classification number: G01C21/3407 , G01C21/3484 , G01C21/3492
Abstract: An apparatus, for example, obtains a trip intent associated with a user; and causes a trip intent engine to determine a trip plan based at least in part on the trip intent using a trip intent model. The trip intent engine comprises the trip intent model, which is a machine learning-trained model. Determining the trip plan comprises identifying a destination based at least in part on point of interest data and the trip intent, determining a route from a current location of the user to the destination, determining a time for beginning a trip to the destination, and/or determining one or more modes of transportation for use in traversing one or more portions of the route. The apparatus causes at least a portion of the trip plan to be provided to the user via a user interface of a user apparatus.
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公开(公告)号：US11994396B2
公开(公告)日：2024-05-28
申请号：US16425599
申请日：2019-05-29
Applicant: HERE GLOBAL B.V.
Inventor： Jerome Beaurepaire
IPC: G01C21/34 , G01C21/20 , G01C21/36 , G06Q30/0283 , G06Q50/40
CPC classification number: G01C21/3423 , G01C21/20 , G01C21/3415 , G01C21/3461 , G01C21/3691 , G06Q30/0284 , G06Q50/40
Abstract: An approach is provided for providing drop-off locations for passengers of a vehicle to reach different destinations via a multimodal route. A routing platform receives a request to generate a navigation route, i.e., a multi-point intermodal route that directs the passengers to reach the destinations using the vehicle in combination with the other mode of transport. The routing platform further computes the navigation route based on an optimization parameter to include a route taken by the vehicle and at least one intermodal route leg. The navigation route includes drop-off locations where subsets of the passengers access the other mode of transport to complete the at least one intermodal route leg to at least one of the destinations. The optimization parameter is minimized with respect to the route taken by the vehicle and/or the at least one intermodal route leg.
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公开(公告)号：US11733050B2
公开(公告)日：2023-08-22
申请号：US16448943
申请日：2019-06-21
Applicant: HERE GLOBAL B.V.
Inventor： Jerome Beaurepaire , Jens Unger
CPC classification number: G01C21/3423 , G01C21/3415 , G01C21/3438 , G01C21/3492 , G08G1/141
Abstract: An approach is provided for providing an isoline map of a time to park at a destination. A routing platform computes the time to park at a destination of a navigation route, wherein the time to park represents an estimated time that is needed for a vehicle to park within a geographic area surrounding the destination. The routing platform further determines an isoline that delineates a boundary of the geographic area, wherein the isoline indicates an extent of the geographic area in which the time to park applies. The routing platform further provide data to generate a user interface depicting a representation of the isoline in the time to park isoline map.
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公开(公告)号：US11713979B2
公开(公告)日：2023-08-01
申请号：US17122497
申请日：2020-12-15
Applicant: HERE GLOBAL B.V.
Inventor： Leon Stenneth , Jerome Beaurepaire , Jeremy Michael Young
CPC classification number: G01C21/3841 , G05D1/0088 , G01C21/3667
Abstract: A method, apparatus and computer program product are provided for generating a transition variability index related to autonomous driving. In this regard, a first transition variability index is calculated. The first transition variability index is indicative of a first degree of variability in relation to transition of vehicles from respective autonomous levels while traveling proximate a first spatial reference point. Furthermore, a second transition variability index is generated. The second transition variability index is indicative of a second degree of variability in relation to transition of vehicles from respective autonomous levels while traveling along proximate a second spatial reference point. Updating of transition data associated with one of the first and second spatial reference points relative to another one of the first and second spatial reference points is then prioritized based on a comparison between the first transition variability index and the second transition variability index.
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公开(公告)号：US20230158842A1
公开(公告)日：2023-05-25
申请号：US17534895
申请日：2021-11-24
Applicant: HERE GLOBAL B.V.
Inventor： Jerome Beaurepaire , Leon Stenneth , Jeremy Michael Young
CPC classification number: B60C23/0474 , B60C23/0491 , G01C21/3461 , G01C21/3476
Abstract: An apparatus, method and computer program product are provided for predicting road locations that are likely to induce tire pressure changes. In one example, the apparatus receives historical data of an event in which a first vehicle is impacted by a first tire pressure change at a first road segment. The historical data indicates point-of-interest (POI) information associated with the first road segment. The apparatus trains a prediction model using the historical data. The prediction model is configured to determine a likelihood in which a second road segment induces a second tire pressure change for a second vehicle based on POI information associated with the second road segment.
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Patent Agency Ranking
公开(公告)号：US11557132B2
公开(公告)日：2023-01-17
申请号：US17074458
申请日：2020-10-19
Applicant: HERE Global B.V.
Inventor： Leon Stenneth , Jerome Beaurepaire , Jeremy Michael Young
Abstract: Systems and methods for the detection and analysis of road markings and other road objects are described. A method for detection of road markings comprises identifying image data including lane markings associated with a road segment, defining a plurality of subsections for the road segment, identifying boundary recognition observations for the lane markings from the image data corresponding to the at least one of the plurality of subsections for the road segments, calculating one or more clusters for the boundary recognition observations according to color or intensity, and outputting a lane marking indicator indicating the color or the intensity, for the at least one of the plurality of subsections for the road segments, in response to the one or more clusters.
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公开(公告)号：US11388555B1
公开(公告)日：2022-07-12
申请号：US17138241
申请日：2020-12-30
Applicant: HERE GLOBAL B.V.
Inventor： Dmitry Koval , Jerome Beaurepaire
Abstract: Provided herein is a method for quantifying and measuring human mobility within defined geographic regions and sub-regions. Methods may include: identifying sub-regions within a region; identifying static information associated with the sub-regions from one or more static information sources; obtaining dynamic information associated with the sub-regions from one or more dynamic information sources; determining correlations between elements of the static information associated with a respective sub-region and elements of the dynamic information associated with the respective sub-regions; generating a mobility score for the respective sub-region based, at least in part, on the correlations between the elements of the static information and the elements of the dynamic information associated with the respective sub-region; and providing the mobility score to one or more clients for guiding an action relative to the mobility score.
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公开(公告)号：US11303621B2
公开(公告)日：2022-04-12
申请号：US16126866
申请日：2018-09-10
Applicant: HERE GLOBAL B.V.
Inventor： Jerome Beaurepaire , Sven Krome
Abstract: An approach is provided for privacy-sensitive sharing of navigation-based content between vehicles (e.g., autonomous vehicles, drones, devices, etc.). The approach involves initiating a pairing of a first vehicle with at least one second vehicle. The approach also involves determining a privacy level associated with the pairing. The approach further involves determining a granularity level for sharing the navigation-based content of the first vehicle with the at least one second vehicle based on the privacy level. The approach further involves granting an access right to the at least one second vehicle to access the navigation-based content at the determined granularity level. The at least one second vehicle is then guided based on the navigation-based content of the first vehicle at the determined granularity level.
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公开(公告)号：US20220063673A1
公开(公告)日：2022-03-03
申请号：US17122497
申请日：2020-12-15
Applicant: HERE GLOBAL B.V.
Inventor： Leon Stenneth , Jerome Beaurepaire , Jeremy Michael Young
Abstract: A method, apparatus and computer program product are provided for generating a transition variability index related to autonomous driving. In this regard, a first transition variability index is calculated. The first transition variability index is indicative of a first degree of variability in relation to transition of vehicles from respective autonomous levels while traveling proximate a first spatial reference point. Furthermore, a second transition variability index is generated. The second transition variability index is indicative of a second degree of variability in relation to transition of vehicles from respective autonomous levels while traveling along proximate a second spatial reference point. Updating of transition data associated with one of the first and second spatial reference points relative to another one of the first and second spatial reference points is then prioritized based on a comparison between the first transition variability index and the second transition variability index.
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公开(公告)号：US20220063639A1
公开(公告)日：2022-03-03
申请号：US17122477
申请日：2020-12-15
Applicant: HERE GLOBAL B.V.
Inventor： Leon Stenneth , Jerome Beaurepaire , Jeremy Michael Young
Abstract: A method, apparatus and computer program product are provided for predicting autonomous transition regions using historical information. In this regard, historical autonomous transition data is accessed. The historical autonomous transition data is associated with vehicles that transition from respective autonomous levels while traveling along one or more road segments associated with a first geographic area. Furthermore, one or more features of the historical autonomous transition data associated with the first geographic area is identified. A machine learning model is then trained based on the one or more features associated with the first geographic area.
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