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1.
公开(公告)号:US20210019376A1
公开(公告)日:2021-01-21
申请号:US16513222
申请日:2019-07-16
Applicant: HERE GLOBAL B.V.
Inventor: Nicolas NEUBAUER
Abstract: An approach is provided for providing data-driven traffic simulations for ad-hoc reconfigurations of a smart-city infrastructure. The approach involves retrieving training traffic data collected from a geographic area supported by the smart-city infrastructure. The approach also involves determining one or more configurations of the smart-city infrastructure corresponding to one or more times at which the training traffic data was collected, wherein the one or more configurations indicate respective states of one or more traffic-related actions supported by the smart-city infrastructure. The approach further involves training a predictive model to predict a traffic-related key performance indicator based on the training traffic data and the one or more configurations, wherein the predictive model is used to predict the traffic-related key performance indicator for a reconfiguration of at least one of the one or more traffic-related actions.
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公开(公告)号:US20230051766A1
公开(公告)日:2023-02-16
申请号:US17445036
申请日:2021-08-13
Applicant: HERE GLOBAL B.V.
Inventor: Jerome BEAUREPAIRE , Dmitry KOVAL , Steven SCHULTING , Nicolas NEUBAUER , Remco TIMMER
Abstract: Embodiments described herein relate to predicting the utilization of electric vehicle (EV) charge points. Methods may include: receiving an indication of a plurality of candidate locations for EV charge points; determining static map features of the plurality of candidate locations; inputting the plurality of candidate locations and static map features into a machine learning model, where the machine learning model is trained on existing EV charge point locations, existing EV charge point static map features, and existing EV charge point utilization; determining, based on the machine learning model, a predicted utilization of an EV charge point at the plurality of candidate locations; and generating a representation of a map including the plurality of candidate locations, where candidate locations of the plurality of candidate locations are visually distinguished based on a respective predicted utilization of an EV charge point at the candidate locations.
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公开(公告)号:US20220210150A1
公开(公告)日:2022-06-30
申请号:US17138533
申请日:2020-12-30
Applicant: HERE Global B.V.
Inventor: Nicolas NEUBAUER , Jerome BEAUREPAIRE
Abstract: An approach is provided for providing biometrically-signed location trace data at a device as a proof of user presence. The approach involves initiating a transmission of location data generated by one or more location sensors of a device. The approach also involves, in response to the transmission, receiving a challenge generated for the location data. The approach further involves generating a biometric mapping message based on the challenge and biometric data of a user. The user is associated with the device at a time the location data was generated. The approach further involves providing the biometric mapping message as an output. The output of the biometric mapping message indicates a proof of a presence of the user within a proximity of the device at the time the location data was generated.
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公开(公告)号:US20240193871A1
公开(公告)日:2024-06-13
申请号:US18077090
申请日:2022-12-07
Applicant: HERE Global B.V.
Inventor: Jerome BEAUREPAIRE , Nicolas NEUBAUER , Jens UNGER
CPC classification number: G06T19/003 , G06Q50/16
Abstract: An approach is provided for associating an object with a spatial budget. The approach, for example, involves initiating a scan of an object, an available space, or a combination thereof using a sensor to determine a spatial volume of the object, a spatial volume of the available space for a storage or a placement of the object, or a combination thereof. The approach also involves determining a spatial cost of an object based on the spatial volume of the object. The approach further involves determining an available spatial budget based on the spatial volume of an available space. The approach further involves determining a spatial budget for the object based on the spatial cost of the object and the available spatial budget. The approach further involves providing the spatial budget of the object, the spatial cost of the object, the available spatial budget, or a combination thereof as an output.
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5.
公开(公告)号:US20220276066A1
公开(公告)日:2022-09-01
申请号:US17187160
申请日:2021-02-26
Applicant: HERE Global B.V.
Inventor: Jerome BEAUREPAIRE , Nicolas NEUBAUER
IPC: G01C21/34
Abstract: An approach is provided for providing taxi routing involving comparison among routes with and without taxi lanes. The approach involves, for example, computing a taxi route between at least one origin-destination pair using a routing engine configured to include at least one taxi lane in the taxi route. The taxi lane permits use by a taxi vehicle while restricting use by a different vehicle type (e.g., an on-demand mobility provider vehicle). The approach also involves computing a non-taxi route using the routing engine or another routing engine configured to not include the at least one taxi lane in the non-taxi route. The approach further involves providing the taxi route for the at least one origin-destination pair as an output based on a comparison of the taxi route to the non-taxi route with respect to an estimated time of arrival, a travel time, a travel distance, and/or a travel price.
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公开(公告)号:US20210297852A1
公开(公告)日:2021-09-23
申请号:US16821582
申请日:2020-03-17
Applicant: HERE Global B.V.
Inventor: Nicolas NEUBAUER
Abstract: Methods described herein relate to identifying a context of a client, and more particularly, to identifying a context of a client while maintaining data privacy and anonymity. Methods may include: receiving a machine learning model; identifying at least one of a location or a trajectory; generating a context vector based on a context of the at least one of the location or trajectory; dimensionally reducing the context vector using the machine learning model to generate a state vector; providing the state vector; and receiving location-related information or services responsive to the state vector.
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公开(公告)号:US20200378783A1
公开(公告)日:2020-12-03
申请号:US16429934
申请日:2019-06-03
Applicant: HERE GLOBAL B.V.
Inventor: Nicolas NEUBAUER
Abstract: An approach is provided for argumentative navigation routing. The approach involves, for example, determining a recommended route and an alternative route. The approach also involves iteratively presenting one or more justification messages in support of the recommended route until a response is detected from a user that either rejects or accepts the one or more justification messages. The one or more justification messages are selected from among a plurality of argumentative reason classes. The approach further involves determining an accepted argumentative reason class from among the plurality of argumentative reason classes that corresponds to an accepted justification message of the one or more justification messages. The approach further involves prioritizing the accepted argumentative reason class to generate one or more subsequent justification messages in a subsequent argumentative routing interaction.
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公开(公告)号:US20240212486A1
公开(公告)日:2024-06-27
申请号:US18086318
申请日:2022-12-21
Applicant: HERE Global B.V.
Inventor: Jerome BEAUREPAIRE , Nicolas NEUBAUER
CPC classification number: G08G1/0133 , G06N20/00 , G08G1/0108 , G08G1/0129
Abstract: A method, apparatus, and non-transitory computer-readable storage medium for determining an intersection condition are provided. An example embodiment may obtain entity count data of an area comprising an intersection, obtain map feature data of the area comprising the intersection, obtain temporal context data of the area comprising the intersection, and generate an intersection deadlock score based on the entity count data, the map feature data, the temporal context data, or a combination thereof. The generated intersection deadlock score may further be used to provide a prediction of a deadlock condition based on the intersection deadlock score to a traffic application and/or a navigation application.
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9.
公开(公告)号:US20240193708A1
公开(公告)日:2024-06-13
申请号:US18077083
申请日:2022-12-07
Applicant: HERE Global B.V.
Inventor: Jerome BEAUREPAIRE , Nicolas NEUBAUER , Jens UNGER
IPC: G06Q50/06 , G06Q30/0601
CPC classification number: G06Q50/06 , G06Q30/0633
Abstract: An approach is provided for determining object utility for personalizing service for space utilization. The approach, for example, involves using a sensor to capture sensor data of an environment including an object over a period of time. The approach also involves processing the sensor data to track one or more interactions between at least one user and the object over the period of time. The approach further involves determining a utility value of the object based on the one or more interactions. The approach further involves providing the utility value as an output. In one example embodiment, the approach further involves determining a service, an action, or a combination thereof to apply to the object based on the utility value.
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10.
公开(公告)号:US20230406325A1
公开(公告)日:2023-12-21
申请号:US17842489
申请日:2022-06-16
Applicant: HERE GLOBAL B.V.
Inventor: Jerome BEAUREPAIRE , Nicolas NEUBAUER
CPC classification number: B60W40/09 , G06N5/046 , B60W40/06 , B60W40/04 , B60W2556/10
Abstract: An apparatus, method and computer program product are provided for predicting events in which drivers render aggressive behaviors while maneuvering vehicles. In one example, the apparatus receives input data indicating a target location and including attribute data associated with the target location. The apparatus causes a machine learning model to generate output data as a function of the input data. The output data indicate a likelihood in which a target driver will render an aggressive behavior at the target location while maneuvering a target vehicle. The machine learning model is trained to generate the output data as a function of the input data by using historical data indicating events in which drivers rendered the aggressive behavior while maneuvering vehicles.
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