公开(公告)号：WO2019014078A3

公开(公告)日：2019-01-17

申请号：PCT/US2018/041181

申请日：2018-07-09

Applicant: TOPCON POSITIONING SYSTEMS, INC

Inventor： CHARAMISINAU, Ivan ,  BURENKOV, Michael ,  DATKO, Dmitry

IPC: G06T17/00 ,  G06T9/00

Abstract: A point cloud rendering method and apparatus for real-time point cloud data collection from a variety of sensor types is provided that delivers enhanced performance including reducing processing requirements, limiting local memory consumption and optimizing overall data visualization.

公开(公告)号：WO2019014079A3

公开(公告)日：2019-01-17

申请号：PCT/US2018/041183

申请日：2018-07-09

Applicant: TOPCON POSITIONING SYSTEMS, INC.

Inventor： CHARAMISINAU, Ivan ,  BURENKOV, Michael ,  DATKO, Dmitry

IPC: G06T17/00

Abstract: A point cloud filter method and apparatus is provided for use in point cloud rendering from real-time point cloud data collection from a variety of sensor types is provided that delivers enhanced performance including reducing processing requirements, limiting local memory consumption and optimizing overall data visualization.

公开(公告)号：WO2019014079A2

公开(公告)日：2019-01-17

申请号：PCT/US2018/041183

申请日：2018-07-09

Applicant: TOPCON POSITIONING SYSTEMS, INC.

Inventor： CHARAMISINAU, Ivan ,  BURENKOV, Michael ,  DATKO, Dmitry

IPC: G06T17/00

Abstract: A point cloud filter method and apparatus is provided for use in point cloud rendering from real-time point cloud data collection from a variety of sensor types is provided that delivers enhanced performance including reducing processing requirements, limiting local memory consumption and optimizing overall data visualization.

公开(公告)号：WO2019014078A2

公开(公告)日：2019-01-17

申请号：PCT/US2018/041181

申请日：2018-07-09

Applicant: TOPCON POSITIONING SYSTEMS, INC

Inventor： CHARAMISINAU, Ivan ,  BURENKOV, Michael ,  DATKO, Dmitry

IPC: G06T17/00 ,  G06T9/00

Abstract: A point cloud rendering method and apparatus for real-time point cloud data collection from a variety of sensor types is provided that delivers enhanced performance including reducing processing requirements, limiting local memory consumption and optimizing overall data visualization.