公开(公告)号：US10482655B2

公开(公告)日：2019-11-19

申请号：US15818159

申请日：2017-11-20

Applicant: HERE GLOBAL B.V.

Inventor： Xin Chen ,  Andi Zang

IPC: G06T17/05 ,  G06N7/00 ,  G06T19/20 ,  G06T3/40 ,  G09B29/12 ,  G09B29/10 ,  G01S17/89 ,  G01C21/32 ,  G01C11/06

Abstract: An approach is provided for providing a digital elevation model. For example, the approach involves processing, by a processor, map elevation data to create a hierarchical resolution tile representation of the digital elevation model for a geographic area. The hierarchical resolution tile representation includes a plurality of resolution levels, wherein each of the plurality of levels represents the digital elevation model at a different resolution. The digital elevation model includes a plurality of control points, wherein each of the plurality of control points is associated with an elevation data point determined from the map elevation data.

公开(公告)号：US20190130182A1

公开(公告)日：2019-05-02

申请号：US15800945

申请日：2017-11-01

Applicant: HERE Global B.V.

Inventor： Andi Zang ,  Zichen Li

IPC: G06K9/00 ,  G06K9/46 ,  G03B15/00

Abstract: Apparatus and methods are described for roadway lane line detection. An aerial image including a plurality of pixels is received and provides to a classification model. The classification model provides probability values assigned to at least a portion of the plurality of pixels. A comparison of the probability values is performed to select at least one pixel according to the comparison. A lane line object is identified for the selected at least one pixel.

公开(公告)号：US12007784B2

公开(公告)日：2024-06-11

申请号：US16830772

申请日：2020-03-26

Applicant: HERE Global B.V.

Inventor： Andi Zang ,  Xin Chen

IPC: G05D1/00 ,  H04W4/029

CPC classification number: G05D1/0268 ,  G05D1/024 ,  G05D1/0248 ,  G05D1/0278 ,  H04W4/029

Abstract: Methods described herein relate to self-localization. Methods may include: receiving sensor data from a vehicle traveling along a road segment; identifying one or more objects of the environment from the sensor data; determining a coarse location of the vehicle; comparing the identified one or more objects with corresponding ground truth objects; calculating an observation in response to the comparison of the identified one or more objects with the corresponding ground truth objects; determining a location of the vehicle with a higher precision than the coarse location based, at least in part, on the observation; and allocating resources of the apparatus based, at least in part, on the observation.

公开(公告)号：US09384398B2

公开(公告)日：2016-07-05

申请号：US14301752

申请日：2014-06-11

Applicant: HERE Global B.V.

Inventor： Xin Chen ,  Andi Zang ,  Xi Zhang

IPC: G06K9/00 ,  G06T7/00 ,  G06K9/62

CPC classification number: G06K9/00637 ,  G06K9/6267 ,  G06T7/50 ,  G06T2207/10004 ,  G06T2207/10032 ,  G06T2207/30184

Abstract: A method, apparatus and computer program product are provided for roof type classification and reconstruction based on two dimensional aerial images. In the context of a method, the method includes receiving a roof image, determining a segmentation of the roof image based on cutting lines associated with roof features and classifying roof segments based on roof features within the segment. The classifying roof segments is based on the roof features correlation to a roof type pattern.

Abstract translation: 提供了一种基于二维航空图像的屋顶类型分类和重建的方法，装置和计算机程序产品。 在方法的上下文中，该方法包括接收屋顶图像，基于与屋顶特征相关联的切割线确定屋顶图像的分割，并基于该段内的屋顶特征对屋顶段进行分类。 分类屋顶段是基于屋顶特征与屋顶类型模式的相关性。

公开(公告)号：US20150363645A1

公开(公告)日：2015-12-17

申请号：US14301752

申请日：2014-06-11

Applicant: HERE Global B.V.

Inventor： Xin Chen ,  Andi Zang ,  Xi Zhang

IPC: G06K9/00 ,  G06K9/62 ,  G06T7/00

CPC classification number: G06K9/00637 ,  G06K9/6267 ,  G06T7/50 ,  G06T2207/10004 ,  G06T2207/10032 ,  G06T2207/30184

Abstract: A method, apparatus and computer program product are provided for roof type classification and reconstruction based on two dimensional aerial images. In the context of a method, the method includes receiving a roof image, determining a segmentation of the roof image based on cutting lines associated with roof features and classifying roof segments based on roof features within the segment. The classifying roof segments is based on the roof features correlation to a roof type pattern.

Abstract translation: 提供了一种基于二维航空图像的屋顶类型分类和重建的方法，装置和计算机程序产品。 在方法的上下文中，该方法包括接收屋顶图像，基于与屋顶特征相关联的切割线确定屋顶图像的分割，并基于该段内的屋顶特征对屋顶段进行分类。 分类屋顶段是基于屋顶特征与屋顶类型模式的相关性。