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1.发明公开公开(公告)号：US20240199060A1
公开(公告)日：2024-06-20
申请号：US18081330
申请日：2022-12-14
Applicant: HERE GLOBAL B.V.
Inventor： Jerome BEAUREPAIRE , Leon STENNETH , Jeremy Michael YOUNG
CPC classification number: B60W50/16 , B60W30/0956 , B60W30/18159 , B60W40/02 , B60W40/08 , G06N20/00 , B60W2050/143
Abstract: A system, a method and a computer program product are provided to determine a left turn decision for a user or autonomous vehicle attempting to turn at an intersection of a road. For example, the system obtains contextual features and/or sensor data related to the intersection of the road. An optimal location on the road is determined for the user or autonomous vehicle to position the vehicle to make the left turn decision, based on the contextual features and/or the sensor data. A left turn risk factor is determined based on the location on the road for the user or autonomous vehicle to position the vehicle to make a left turn. An alert is presented to the user or autonomous vehicle regarding the left turn risk factor with a left turn advisory message.
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公开(公告)号：US20240013070A1
公开(公告)日：2024-01-11
申请号：US17858964
申请日：2022-07-06
Applicant: HERE GLOBAL B.V.
Inventor： Jerome BEAUREPAIRE
Abstract: An apparatus, method and computer program product are provided for predicting events in which vehicles damage roadside objects. In one example, the apparatus receives input data indicating a first roadside object and contextual information associated with the first roadside object. The apparatus causes a machine learning model to generate output data as a function of the input data, wherein the output data indicate a likelihood in which one or more first vehicles will damage the first roadside object. 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 second vehicles damaged second roadside objects. The historical data indicate first attributes associated with surroundings of the second roadside objects, second attributes associated with the second vehicles, and route maneuver information associated with the second vehicles.
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公开(公告)号：US20230401952A1
公开(公告)日：2023-12-14
申请号：US17839231
申请日：2022-06-13
Applicant: HERE GLOBAL B.V.
Inventor： Jerome BEAUREPAIRE , Nicolas NEUBAUER
CPC classification number: G08G1/0129 , G08G1/0112 , G08G1/0137 , G08G1/052
Abstract: An apparatus, method and computer program product are provided for predicting overtaking maneuver events. In one example, the apparatus receives input data including attribute data associated with a location and first travel data associated with a first occupant of a first vehicle. 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 the first vehicle will execute an overtaking maneuver at the location. 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 second vehicles executed the overtaking maneuver. The historical data include second travel data associated with second occupants of the second vehicles.
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公开(公告)号：US20230394353A1
公开(公告)日：2023-12-07
申请号：US17832519
申请日：2022-06-03
Applicant: HERE GLOBAL B.V.
Inventor： Jerome BEAUREPAIRE , Nicolas NEUBAUER
IPC: G06N20/00
CPC classification number: G06N20/00
Abstract: An apparatus, method and computer program product are provided for predicting slipping events for micromobility vehicles. In one example, the apparatus receives input data indicating a target location and including contextual 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 micromobility vehicle will slip at the target location. 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 micromobility vehicles have slipped. The historical data indicate slip-inducing objects within locations of the events, proximity of sources of the slip-inducing objects relative to the locations, and one or more factors that cause the slip-inducing objects to be disposed within the locations.
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5.发明公开公开(公告)号：US20230306801A1
公开(公告)日：2023-09-28
申请号：US17704377
申请日：2022-03-25
Applicant: HERE GLOBAL B.V.
Inventor： Jerome BEAUREPAIRE , Marko Tuukkanen
CPC classification number: G07C5/0816 , B60L8/003 , G01C21/3811 , G01C21/3826
Abstract: An apparatus, method and computer program product are provided for predicting charging efficiency rates for solar-powered vehicles. In one example, the apparatus receives historical data of events in which solar-powered vehicles equipped with solar panels were electrically charged by receiving solar beams at the solar panels. The historical data indicate factors of the events that induced objects forming on the solar panels and obstructing, at least in part, the solar beams. The apparatus uses the historical data to train a machine learning model to output a charging efficiency rate of a target solar-powered vehicle as a function of at least one attribute associated with a location.
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Patent Agency Ranking
公开(公告)号：US20230206763A1
公开(公告)日：2023-06-29
申请号：US18073451
申请日：2022-12-01
Applicant: HERE GLOBAL B.V.
Inventor： Jerome BEAUREPAIRE , Gianpietro BATTISTUTTI
CPC classification number: G08G1/145 , G08G1/0137 , G08G1/143
Abstract: Systems and methods for determining utilization of an area for vehicle parking are provided. For example, a method for determining utilization of an area for vehicle parking includes determining an expected level of utilization of an area for vehicle parking. The method also includes based on the determined expected level of utilization, analyzing one or more characteristics associated the area for vehicle parking. The method also includes based on the analysis, providing information for modifying the utility of the area for vehicle parking.
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公开(公告)号：US20230184947A1
公开(公告)日：2023-06-15
申请号：US17546828
申请日：2021-12-09
Applicant: HERE Global B.V.
Inventor： Jerome BEAUREPAIRE , Lauri Aarne Johannes WIROLA , Eckhart KÖPPEN
Abstract: An approach is provided for creating a LiDAR path signature. The approach involves, for instance, receiving a plurality of Light Detection and Ranging (LiDAR) scans captured by a LiDAR sensor of a portable device as the portable device travels on a path through an environment. The approach also involves processing the plurality of LiDAR scans to generate a LiDAR path signature that is representative of the path of the portable device through the environment. The approach further involves providing the LiDAR path signature as an output.
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8.发明公开公开(公告)号：US20230182775A1
公开(公告)日：2023-06-15
申请号：US17546763
申请日：2021-12-09
Applicant: HERE Global B.V.
Inventor： Jerome BEAUREPAIRE , Amarnath NAYAK
CPC classification number: B60W60/0016 , B60W50/14 , B60W30/18163 , B60W30/18036 , B60W30/09 , B60W2554/4044 , B60W2540/215 , B60W2552/10 , B60W2554/802 , B60W2554/4042 , B60W2540/049 , B60Q1/46
Abstract: An approach is provided for determining an autonomous vehicle reaction strategy when facing a wrong way driving vehicle. The approach, for example, involves processing mapping data, sensor data, or a combination thereof to develop a map of an area within a threshold distance of an autonomous vehicle in response to a detection of an oncoming vehicle that is driving in a wrong direction towards the autonomous vehicle. The approach also involves using a decision tree of a plurality of candidate strategies for avoiding the oncoming vehicle to select a strategy based on one or more attributes of the map. The approach further involves presenting the selected strategy in a user interface of the autonomous vehicle.
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9.发明公开公开(公告)号：US20230168094A1
公开(公告)日：2023-06-01
申请号：US17537002
申请日：2021-11-29
Applicant: HERE Global B.V.
Inventor： Jerome BEAUREPAIRE , Nicolas NEUBAUER , David FALLA CEPEDA
IPC: G01C21/34 , G01C21/36 , G06V10/762 , G06Q10/02 , G06Q50/30
CPC classification number: G01C21/3461 , G01C21/3438 , G01C21/3476 , G01C21/3617 , G01C21/3682 , G01C21/3697 , G06Q10/02 , G06Q50/30 , G06V10/762
Abstract: A system, method, and computer program product may be provided for generating a routing graph for a user. A system may include a memory configured to store computer program code instructions; and a processor configured to execute the computer program code instructions to define a geographic area of interest for the user; and identify a cluster of one or more mobility hubs in the area of interest. The processor may be further configured to create the routing graph from an edge of the one or more mobility hubs based on one or more preferences of the user, and provide the routing graph to a routing engine for calculating an intermodal route.
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10.发明申请公开(公告)号：US20230052733A1
公开(公告)日：2023-02-16
申请号：US17656500
申请日：2022-03-25
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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