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公开(公告)号：US20190086928A1
公开(公告)日：2019-03-21
申请号：US15705750
申请日：2017-09-15
Applicant: HERE Global B.V.
Inventor： Bin Chen , David Doria , Hank Sutton , Ian Endres
Abstract: A geographic database storing map data is provided. The geographic database is stored in a non-transitory computer readable medium. The geographic database comprises a plurality of records corresponding to drivable surfaces of a road network. The plurality of records comprise a plurality of lane records corresponding to particular lanes of the road network. Each first record of the plurality of records comprises a plurality of instances of adjacency information. Each instance of adjacency information/data (a) links the first record corresponding to a first drivable surface of the road network to a second record of the plurality of records corresponding to a second drivable surface of the road network. The first drivable surface is adjacent to the second drivable surface. Each instance of adjacency information/data indicates crossing parameters between the first drivable surface and the second drivable surface.
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公开(公告)号：US11699234B2
公开(公告)日：2023-07-11
申请号：US17110693
申请日：2020-12-03
Applicant: HERE Global B.V.
Inventor： Ian Endres
Abstract: An apparatus accesses label data and training images corresponding to a geographic area; and provides the label data and training images to a training model. The training model comprises of at least a predictor model and an alignment model. The predictor model is configured to receive an image and provide a prediction corresponding to the image. The alignment model is configured to generate a transformed prediction based on aligning the label data and the prediction. The apparatus executes a loss engine to iteratively receive the label data and the transformed prediction, evaluate a loss function based on the label data and the transformed prediction, and cause weights of the predictor model and the alignment model to be updated based on the evaluated loss function to cause the predictor and alignment models to be trained.
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公开(公告)号：US10438362B2
公开(公告)日：2019-10-08
申请号：US15609781
申请日：2017-05-31
Applicant: HERE Global B.V.
Inventor： Victor Lu , Ian Endres
Abstract: Embodiments described herein relate generally to determining correspondence between a template and an object in an image. A method may include: receiving an image of an environment including an image of an object within the image of the environment; resizing the first template to obtain a scaled first template having a size corresponding to a size of the image of the object; calculating a number of correspondences between the scaled first template and the image of the object; receiving a candidate homography; testing the candidate homography; and replacing the image of the object with a second template of a different object according to the candidate homography in response to the candidate homography being established as corresponding to the image of the object.
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公开(公告)号：US20210004013A1
公开(公告)日：2021-01-07
申请号：US17026684
申请日：2020-09-21
Applicant: HERE Global B.V.
Inventor： Bin Chen , David Doria , Hank Sutton , Ian Endres
Abstract: A geographic database storing map data is provided. The geographic database is stored in a non-transitory computer readable medium. The geographic database comprises a plurality of records corresponding to drivable surfaces of a road network. The plurality of records comprise a plurality of lane records corresponding to particular lanes of the road network. Each first record of the plurality of records comprises a plurality of instances of adjacency information. Each instance of adjacency information/data (a) links the first record corresponding to a first drivable surface of the road network to a second record of the plurality of records corresponding to a second drivable surface of the road network. The first drivable surface is adjacent to the second drivable surface. Each instance of adjacency information/data indicates crossing parameters between the first drivable surface and the second drivable surface.
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公开(公告)号：US10809728B2
公开(公告)日：2020-10-20
申请号：US15705750
申请日：2017-09-15
Applicant: HERE Global B.V.
Inventor： Bin Chen , David Doria , Hank Sutton , Ian Endres
Abstract: A geographic database storing map data is provided. The geographic database is stored in a non-transitory computer readable medium. The geographic database comprises a plurality of records corresponding to drivable surfaces of a road network. The plurality of records comprise a plurality of lane records corresponding to particular lanes of the road network. Each first record of the plurality of records comprises a plurality of instances of adjacency information. Each instance of adjacency information/data (a) links the first record corresponding to a first drivable surface of the road network to a second record of the plurality of records corresponding to a second drivable surface of the road network. The first drivable surface is adjacent to the second drivable surface. Each instance of adjacency information/data indicates crossing parameters between the first drivable surface and the second drivable surface.
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Patent Agency Ranking
公开(公告)号：US20180350085A1
公开(公告)日：2018-12-06
申请号：US15609781
申请日：2017-05-31
Applicant: HERE Global B.V.
Inventor： Victor Lu , Ian Endres
CPC classification number: G06T7/337 , G06T7/74 , G06T11/60 , G06T2207/10028 , G06T2207/20076 , G06T2207/30252
Abstract: Embodiments described herein relate generally to determining correspondence between a template and an object in an image. A method may include: receiving an image of an environment including an image of an object within the image of the environment; resizing the first template to obtain a scaled first template having a size corresponding to a size of the image of the object; calculating a number of correspondences between the scaled first template and the image of the object; receiving a candidate homography; testing the candidate homography; and replacing the image of the object with a second template of a different object according to the candidate homography in response to the candidate homography being established as corresponding to the image of the object.
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公开(公告)号：US20200272816A1
公开(公告)日：2020-08-27
申请号：US16283180
申请日：2019-02-22
Applicant: HERE Global B.V.
Inventor： Ian Endres , Shubhabrata Roy
Abstract: Segmentation of three dimensional objects may be implemented using a neural network model, a clustering module, a factorization module, and a geometric fitting module. The neural network model is configured to analyze point cloud data for a geographic region and assign probability values outputted from the neural network to points in the point cloud data. The clustering module is configured to group a subset of the probability values based on relative locations of the assigned points in the point cloud data. The factorization module is configured to factor a matrix with the subset of the clustered probability values to assign a line for a three dimensional object of the geographic region. The geometric fitting module is configured to fit at least one predetermined shape for the three dimensional object to the point cloud data based at least on the assigned line.
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8.发明授权公开(公告)号：US10223816B2
公开(公告)日：2019-03-05
申请号：US14622026
申请日：2015-02-13
Applicant: HERE Global B.V.
Inventor： Ole Henry Dorum , Ian Endres
Abstract: A method, apparatus and computer program product are provided for generating map geometry based on a received image and probe data. A method is provided including receiving a first image and probe data associated with the first image, categorizing pixels of the first image based on the probe data, and generating a map geometry based on the pixel categorization of the first image.
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公开(公告)号：US20210383544A1
公开(公告)日：2021-12-09
申请号：US17110693
申请日：2020-12-03
Applicant: HERE Global B.V.
Inventor： Ian Endres
Abstract: An apparatus accesses label data and training images corresponding to a geographic area; and provides the label data and training images to a training model. The training model comprises of at least a predictor model and an alignment model. The predictor model is configured to receive an image and provide a prediction corresponding to the image. The alignment model is configured to generate a transformed prediction based on aligning the label data and the prediction. The apparatus executes a loss engine to iteratively receive the label data and the transformed prediction, evaluate a loss function based on the label data and the transformed prediction, and cause weights of the predictor model and the alignment model to be updated based on the evaluated loss function to cause the predictor and alignment models to be trained.
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公开(公告)号：US10970542B2
公开(公告)日：2021-04-06
申请号：US16283180
申请日：2019-02-22
Applicant: HERE Global B.V.
Inventor： Ian Endres , Shubhabrata Roy
Abstract: Segmentation of three dimensional objects may be implemented using a neural network model, a clustering module, a factorization module, and a geometric fitting module. The neural network model is configured to analyze point cloud data for a geographic region and assign probability values outputted from the neural network to points in the point cloud data. The clustering module is configured to group a subset of the probability values based on relative locations of the assigned points in the point cloud data. The factorization module is configured to factor a matrix with the subset of the clustered probability values to assign a line for a three dimensional object of the geographic region. The geometric fitting module is configured to fit at least one predetermined shape for the three dimensional object to the point cloud data based at least on the assigned line.
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