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公开(公告)号:US20160167582A1
公开(公告)日:2016-06-16
申请号:US14572336
申请日:2014-12-16
Applicant: HERE Global B.V.
Inventor: Xin Chen , Di Ma , Xiang Ma , Roman Ostrovskiy , Vladimir Zhukov , Xiaotao Zou
IPC: B60R1/00
CPC classification number: G06K9/00798 , G08G1/0112
Abstract: Systems, methods, and apparatuses are disclosed for determining lane information of a roadway segment from vehicle probe data. Probe data is received from vehicle camera sensors at a road segment, wherein the probe data includes lane marking data on the road segment. Lane markings are identified, to the extent present, for the left and right boundaries of the lane of travel as well as the adjacent lane boundaries to the left and right of the lane of travel. The identified lane markings are coded, wherein solid lane lines, dashed lane lines, and unidentified or non-existing lane lines are differentiated. The coded lane markings are compiled in a database. A number of lanes are predicted at the road segment from the database of coded lane markings.
Abstract translation: 公开了用于根据车辆探测数据确定道路段的车道信息的系统,方法和装置。 探测器数据在道路段从车辆摄像机传感器接收,其中探测数据包括道路段上的车道标记数据。 在行程车道的左边界和右边界以及行车道左侧和右边的相邻车道边界上,确定车道标记。 识别的车道标记被编码,其中实线的车道线,虚线,以及不明或不存在的车道线被区分。 编码的车道标记在数据库中编译。 在编码车道标记的数据库中,在道路段预测了一些车道。
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公开(公告)号:US09721471B2
公开(公告)日:2017-08-01
申请号:US14572197
申请日:2014-12-16
Applicant: HERE Global B.V.
Inventor: Xin Chen , Di Ma , Xiang Ma , Roman Ostrovskiy , Vladimir Zhukov , Xiaotao Zou
CPC classification number: G08G1/167 , G01S13/931 , G01S15/931 , G01S17/936 , G01S2013/9353 , G01S2013/9357 , G01S2013/9364 , G01S2013/9367 , G08G1/0112 , G08G1/0133 , G08G1/0141 , G08G1/165
Abstract: Systems, methods, and apparatuses are disclosed for determining lane information of a roadway segment from vehicle probe data. Probe data is received from radar sensors of vehicles at a road segment, where the probe data includes an identification of static objects and dynamic objects in proximity to the respective vehicles at the road segment, and geographic locations of the static objects and the dynamic objects. A reference point, such as a road boundary, at the road segment is determined from the identified static objects. Lateral distances between the identified dynamic objects and the reference point are calculated. A number of lanes at the road segment are ascertained from a distribution of the calculated distances of the identified dynamic objects from the reference point.
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公开(公告)号:US11189032B2
公开(公告)日:2021-11-30
申请号:US16837747
申请日:2020-04-01
Applicant: HERE Global B.V.
Inventor: Di Ma , Lin Gan , Fangzhou Xiong , Sanjay Boddhu
Abstract: A method, apparatus and computer program product are provided for extracting building footprints for buildings based on satellite imagery. In this regard, a segmentation map is generated by performing an image segmentation on satellite imagery depicting at least one building. A plurality of line segments that correspond to edges of the at least one building are also generated. Furthermore, a contour for each of the at least one building is generated by filtering line segments corresponding to the at least one building based on the respective principle direction. The geographic data for each of the at least one building is then extracted based on the respective contour.
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公开(公告)号:US20210312632A1
公开(公告)日:2021-10-07
申请号:US16837747
申请日:2020-04-01
Applicant: HERE Global B.V.
Inventor: Di Ma , Lin Gan , Fangzhou Xiong , Sanjay Boddhu
Abstract: A method, apparatus and computer program product are provided for extracting building footprints for buildings based on satellite imagery. In this regard, a segmentation map is generated by performing an image segmentation on satellite imagery depicting at least one building. A plurality of line segments that correspond to edges of the at least one building are also generated. Furthermore, a contour for each of the at least one building is generated by filtering line segments corresponding to the at least one building based on the respective principle direction. The geographic data for each of the at least one building is then extracted based on the respective contour.
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公开(公告)号:US10262213B2
公开(公告)日:2019-04-16
申请号:US14572336
申请日:2014-12-16
Applicant: HERE Global B.V.
Inventor: Xin Chen , Di Ma , Xiang Ma , Roman Ostrovskiy , Vladimir Zhukov , Xiaotao Zou
Abstract: Systems, methods, and apparatuses are disclosed for determining lane information of a roadway segment from vehicle probe data. Probe data is received from vehicle camera sensors at a road segment, wherein the probe data includes lane marking data on the road segment. Lane markings are identified, to the extent present, for the left and right boundaries of the lane of travel as well as the adjacent lane boundaries to the left and right of the lane of travel. The identified lane markings are coded, wherein solid lane lines, dashed lane lines, and unidentified or non-existing lane lines are differentiated. The coded lane markings are compiled in a database. A number of lanes are predicted at the road segment from the database of coded lane markings.
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公开(公告)号:US10002537B2
公开(公告)日:2018-06-19
申请号:US15628985
申请日:2017-06-21
Applicant: HERE Global B.V.
Inventor: Xin Chen , Di Ma , Xiang Ma , Roman Ostrovskiy , Vladimir Zhukov , Xiaotao Zou
CPC classification number: G08G1/167 , G01S13/931 , G01S15/931 , G01S17/936 , G01S2013/9353 , G01S2013/9357 , G01S2013/9364 , G01S2013/9367 , G08G1/0112 , G08G1/0133 , G08G1/0141 , G08G1/165
Abstract: Systems, methods, and apparatuses are disclosed for determining lane information of a roadway segment from vehicle probe data. Probe data is received from radar sensors of vehicles at a road segment, where the probe data includes an identification of static objects and dynamic objects in proximity to the respective vehicles at the road segment, and geographic locations of the static objects and the dynamic objects. A reference point, such as a road boundary, at the road segment is determined from the identified static objects. Lateral distances between the identified dynamic objects and the reference point are calculated. A number of lanes at the road segment are ascertained from a distribution of the calculated distances of the identified dynamic objects from the reference point.
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公开(公告)号:US20170287337A1
公开(公告)日:2017-10-05
申请号:US15628985
申请日:2017-06-21
Applicant: HERE Global B.V.
Inventor: Xin Chen , Di Ma , Xiang Ma , Roman Ostrovskiy , Vladimir Zhukov , Xiaotao Zou
CPC classification number: G08G1/167 , G01S13/931 , G01S15/931 , G01S17/936 , G01S2013/9353 , G01S2013/9357 , G01S2013/9364 , G01S2013/9367 , G08G1/0112 , G08G1/0133 , G08G1/0141 , G08G1/165
Abstract: Systems, methods, and apparatuses are disclosed for determining lane information of a roadway segment from vehicle probe data. Probe data is received from radar sensors of vehicles at a road segment, where the probe data includes an identification of static objects and dynamic objects in proximity to the respective vehicles at the road segment, and geographic locations of the static objects and the dynamic objects. A reference point, such as a road boundary, at the road segment is determined from the identified static objects. Lateral distances between the identified dynamic objects and the reference point are calculated. A number of lanes at the road segment are ascertained from a distribution of the calculated distances of the identified dynamic objects from the reference point.
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公开(公告)号:US09459626B2
公开(公告)日:2016-10-04
申请号:US14567343
申请日:2014-12-11
Applicant: HERE Global B.V.
Inventor: Xin Chen , Di Ma , Xiang Ma , Roman Ostrovskiy , Vlad Zhukov , Xiaotao Zou
CPC classification number: G05D1/0221 , G01C21/32 , G01C21/3407 , G05D1/0088 , G05D2201/0212 , G06K9/00818 , G06K9/627 , G06K9/6287 , G08G1/0112 , G08G1/0129 , G08G1/0141 , G08G1/09623 , G08G1/096716 , G08G1/096725 , G08G1/096758 , G08G1/096791
Abstract: Systems, methods, and apparatuses are disclosed for identifying road signs along a roadway segment from vehicle probe data. Probe data is received from vehicle sensors at a road segment, wherein the probe data includes observed static objects along the road segment. Road signs are identified within the observed static objects of the probe data using a logistic regression algorithm. The geographic location of the identified road signs are determined using a linear regression algorithm.
Abstract translation: 公开了用于从车辆探测数据识别沿道路段的道路标志的系统,方法和装置。 从路段的车辆传感器接收探测数据,其中探测数据包括沿着路段的观察到的静态物体。 使用逻辑回归算法,在观察到的探测数据的静态对象内识别路标。 使用线性回归算法确定所识别的路标的地理位置。
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公开(公告)号:US20160171893A1
公开(公告)日:2016-06-16
申请号:US14572197
申请日:2014-12-16
Applicant: HERE Global B.V.
Inventor: Xin Chen , Di Ma , Xiang Ma , Roman Ostrovskiy , Vladimir Zhukov , Xiaotao Zou
CPC classification number: G08G1/167 , G01S13/931 , G01S15/931 , G01S17/936 , G01S2013/9353 , G01S2013/9357 , G01S2013/9364 , G01S2013/9367 , G08G1/0112 , G08G1/0133 , G08G1/0141 , G08G1/165
Abstract: Systems, methods, and apparatuses are disclosed for determining lane information of a roadway segment from vehicle probe data. Probe data is received from radar sensors of vehicles at a road segment, where the probe data includes an identification of static objects and dynamic objects in proximity to the respective vehicles at the road segment, and geographic locations of the static objects and the dynamic objects. A reference point, such as a road boundary, at the road segment is determined from the identified static objects. Lateral distances between the identified dynamic objects and the reference point are calculated. A number of lanes at the road segment are ascertained from a distribution of the calculated distances of the identified dynamic objects from the reference point.
Abstract translation: 公开了用于根据车辆探测数据确定道路段的车道信息的系统,方法和装置。 从路段的车辆的雷达传感器接收探测数据,其中探测数据包括在道路段附近的相应车辆附近的静态物体和动态物体的标识以及静态物体和动态物体的地理位置。 从所识别的静态对象确定路段上的参考点,例如道路边界。 计算识别的动态对象与参考点之间的横向距离。 根据所识别的动态对象与参考点的距离的分布,确定路段上的多条车道。
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公开(公告)号:US20160170414A1
公开(公告)日:2016-06-16
申请号:US14567343
申请日:2014-12-11
Applicant: HERE Global B.V.
Inventor: Xin Chen , Di Ma , Xiang Ma , Roman Ostrovskiy , Vlad Zhukov , Xiaotao Zou
CPC classification number: G05D1/0221 , G01C21/32 , G01C21/3407 , G05D1/0088 , G05D2201/0212 , G06K9/00818 , G06K9/627 , G06K9/6287 , G08G1/0112 , G08G1/0129 , G08G1/0141 , G08G1/09623 , G08G1/096716 , G08G1/096725 , G08G1/096758 , G08G1/096791
Abstract: Systems, methods, and apparatuses are disclosed for identifying road signs along a roadway segment from vehicle probe data. Probe data is received from vehicle sensors at a road segment, wherein the probe data includes observed static objects along the road segment. Road signs are identified within the observed static objects of the probe data using a logistic regression algorithm. The geographic location of the identified road signs are determined using a linear regression algorithm.
Abstract translation: 公开了用于从车辆探测数据识别沿道路段的道路标志的系统,方法和装置。 从路段的车辆传感器接收探测数据,其中探测数据包括沿着路段的观察到的静态物体。 使用逻辑回归算法,在观察到的探测数据的静态对象内识别路标。 使用线性回归算法确定所识别的路标的地理位置。
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