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公开(公告)号：US20220063676A1
公开(公告)日：2022-03-03
申请号：US17090561
申请日：2020-11-05
Applicant: HERE Global B.V.
Inventor： Jerome BEAUREPAIRE , Leon STENNETH , Jeremy Michael YOUNG
Abstract: A method, apparatus and computer program product are provided for identifying and providing dynamic solutions for improvement of autonomous transition regions. In the context of a method, the method receives autonomous transition data associated with at least one autonomous transition region from at least one autonomous vehicle, and based at least on the autonomous transition data, determines one or more dynamic solutions for autonomous transitions within the at least one autonomous transition region. The method also generates a recommendation comprising at least indications of the one or more dynamic solutions and causes transmission of the recommendation to at least one external source.
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公开(公告)号：US20220063653A1
公开(公告)日：2022-03-03
申请号：US17090437
申请日：2020-11-05
Applicant: HERE Global B.V.
Inventor： Jerome BEAUREPAIRE , Leon STENNETH , Jeremy Michael YOUNG
Abstract: A method, apparatus and computer program product are provided to facilitate autonomous vehicle selection based on the vehicle's ability to navigate autonomous transition regions along a particular route comprising at least one autonomous transition region. In context of a method, the method receives a route request comprising an origin location and a destination location and determines, based at least on the route request, one or more candidate routes. For a respective candidate route, the method analyzes the respective candidate route based upon one or more autonomous transition region parameters, and causes transmission of information relating to the respective candidate route based upon the analyzing of the respective candidate route and the one or more autonomous transition region parameters associated therewith.
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公开(公告)号：US20210383687A1
公开(公告)日：2021-12-09
申请号：US17094493
申请日：2020-11-10
Applicant: HERE Global B.V.
Inventor： Leon STENNETH , Adekunle AFOLABI , Zhenhua ZHANG
IPC: G08G1/01 , G06N20/00 , G08G1/0967 , G08G1/09
Abstract: A method and a system are disclosed for predicting that a road object is in a road zone or not. The method may include receiving at least one road object observation associated with the road object; extracting at least one feature associated with the road object or surroundings thereof based on the received at least one road object observation; and predicting, using a trained machine learning model, that the road object is in the road zone or not based on the extracted at least one feature, wherein the machine learning model is trained based on a training data set comprising a combination of at least one training feature and a ground truth label data, wherein the ground truth label data comprises at least one of a road zone data and a non-road zone data.
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公开(公告)号：US20210271904A1
公开(公告)日：2021-09-02
申请号：US16805140
申请日：2020-02-28
Applicant: HERE Global B.V.
Inventor： Zhenhua ZHANG , Leon STENNETH
Abstract: A system, a method, and a computer program product for generating classification data of a sign. The method comprises obtaining map data of the sign, obtaining a map matched link and at least one parallel link associated with the sign based on the map data, determining presence data of at least one blocking link between the map-matched link and the at least one parallel link, wherein the at least one blocking link satisfies one or more of a heading criterion and a distance criterion. The method further comprises generating the classification data of the sign based on the presence data of the at least one blocking link.
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公开(公告)号：US20210261165A1
公开(公告)日：2021-08-26
申请号：US16802039
申请日：2020-02-26
Applicant: HERE Global B.V.
Inventor： Alex AVERBUCH , Kun LEE , Leon STENNETH
Abstract: 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.
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Patent Agency Ranking
公开(公告)号：US20210080265A1
公开(公告)日：2021-03-18
申请号：US16574791
申请日：2019-09-18
Applicant: HERE GLOBAL B.V.
Inventor： Zhenhua ZHANG , Leon STENNETH
IPC: G01C21/32
Abstract: A system, a method, and a computer program product for generating updated map data are provided. The method comprises obtaining map data of a speed sign associated with a plurality of parallel roads, determining one or more effective links associated with the speed sign, based on the map data of the speed sign, determining first vehicle sensor data corresponding to the one or more effective links, and generating a speed index for each of the one or more effective links based on the first vehicle sensor data The method further comprises generating the updated map data based on the speed index for each of the one or more effective links.
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公开(公告)号：US20210049901A1
公开(公告)日：2021-02-18
申请号：US16543162
申请日：2019-08-16
Applicant: HERE GLOBAL B.V.
Inventor： Jeremy Michael YOUNG , Leon STENNETH
Abstract: An approach is provided for vehicle map data update. The approach involves, for example, processing sensor data captured by a sensor of a vehicle to detect a machine-readable visual representation. The machine-readable visual representation encodes map data corresponding to a map tile of a geographic database. The approach also involves decoding the map data from the machine-readable visual representation. The approach further involves updating a local copy of the map tile stored in the vehicle based on the map data.
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公开(公告)号：US20200074193A1
公开(公告)日：2020-03-05
申请号：US16116527
申请日：2018-08-29
Applicant: HERE GLOBAL B.V.
Inventor： Zhenhua ZHANG , Leon STENNETH
Abstract: A method, system, and computer program product is provided, for example, for learning about a road sign using clustering of pre-processed road sign recognition observations. In an example embodiment, the method may include receiving, by a layered clustering system, the pre-processed road sign recognition observations generated by at least one sensor installed on a vehicle. The pre-processed road sign recognition observations include at least two continuous-value attributes. The method may further include creating, by the layered clustering system, a first clustering label corresponding to a first attribute of the at least two continuous-value attributes for generating a plurality of first clusters. Additionally, the method may include sequentially clustering, by the layered clustering system, the pre-processed road sign recognition observations in the plurality of first clusters with the created first clustering label based on a second attribute of the at least two continuous-value attributes for generating a plurality of second clusters. Further, once the clustering of the pre-processed road sign recognition observations has been performed in this way, the method may further include filtering and removing, by the layered clustering system, outliers of the plurality of first clusters and the plurality of second clusters.
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公开(公告)号：US20200050973A1
公开(公告)日：2020-02-13
申请号：US16102351
申请日：2018-08-13
Applicant: HERE GLOBAL B.V.
Inventor： Leon STENNETH
Abstract: A method, system, and computer program product is provided, for example, for predicting a location of a road sign. In an example embodiment, the method may include receiving a set of pre-processed road observations and extracting a plurality of features from the set of pre-processed road observations, wherein the plurality of features comprise at least a plurality of sensor based features and a plurality of map based features. Further, the method may include associating a set of sensor based features from the plurality of sensor based features and a set of map based features from the plurality of map based features with at least one of a plurality of ground truth points in ground truth data. Additionally, the method may include training a machine learning model based on the association of the ground truth data with the set of sensor based features and the set of map based features with at least one of a plurality of ground truth points in the ground truth data and further predicting the location of the road sign based on the trained machine learning model.
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公开(公告)号：US20190325237A1
公开(公告)日：2019-10-24
申请号：US15957579
申请日：2018-04-19
Applicant: HERE GLOBAL B.V.
Inventor： Zhenhua ZHANG , Leon STENNETH
IPC: G06K9/00
Abstract: An approach is provided for traffic sign learning based near a ramp. The approach involves, for example, determining that a learned sign (e.g., a traffic speed speed) is located within a distance threshold of a junction between a main road link and a ramp road link. The approach also involves assigning a learned sign value (e.g., a speed value) of the learned sign to the main road link, the ramp road link, or a combination thereof based on a topology of the junction, a lateral offset of the learned sign, an upstream sign value, or a combination thereof. The topology of the junction indicates a side of the main road link that the ramp road link occurs. The lateral offset of the learned sign is with respect to the main road link, the ramp road link, or a combination thereof.
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