公开(公告)号：US09881497B2

公开(公告)日：2018-01-30

申请号：US15155701

申请日：2016-05-16

Applicant: HERE Global B.V.

Inventor： Xin Chen ,  Vladimir Zhukov

IPC: G06F19/00 ,  G08G1/01 ,  G01C7/04

CPC classification number: G08G1/0112 ,  G01C7/04 ,  G08G1/0129 ,  G08G1/0141

Abstract: Systems, methods, and apparatuses are disclosed for identifying anomalies or changes in road conditions on a roadway location. An initial low rank data matrix of initial vehicle probe data at a plurality of different times for a roadway location is provided, where the initial low rank data matrix represents a baseline of road conditions for the roadway location. A plurality of additional vehicle probe data from at least one vehicle at the roadway location is received. The additional vehicle probe data is added to the initial vehicle probe data of the initial low rank data matrix. The updated data matrix with the compiled probe data is decomposed into a low rank data matrix and a sparse data matrix. A change at the roadway location is identified based on the probe data in the sparse data matrix.

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

IPC: G05D1/02 ,  G06F17/10 ,  G06G7/78 ,  G08G1/16 ,  G01S15/93 ,  G01S17/93 ,  G01S13/93 ,  G08G1/01

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.

公开(公告)号：US20160260322A1

公开(公告)日：2016-09-08

申请号：US15155701

申请日：2016-05-16

Applicant: HERE Global B.V.

Inventor： Xin Chen ,  Vladimir Zhukov

IPC: G08G1/01

CPC classification number: G08G1/0112 ,  G01C7/04 ,  G08G1/0129 ,  G08G1/0141

Abstract: Systems, methods, and apparatuses are disclosed for identifying anomalies or changes in road conditions on a roadway location. An initial low rank data matrix of initial vehicle probe data at a plurality of different times for a roadway location is provided, where the initial low rank data matrix represents a baseline of road conditions for the roadway location. A plurality of additional vehicle probe data from at least one vehicle at the roadway location is received. The additional vehicle probe data is added to the initial vehicle probe data of the initial low rank data matrix. The updated data matrix with the compiled probe data is decomposed into a low rank data matrix and a sparse data matrix. A change at the roadway location is identified based on the probe data in the sparse data matrix.