发明名称 METHOD FOR SEGMENTING THE DATA OF A 3D SENSOR PRODUCED IN THE PRESENCE OF AEROSOL CLOUDS FOR INCREASING THE SITUATIONAL AWARENESS AND THE LOCATION DETECTION OF OBSTACLES
摘要 A method for segmenting the data of a 3D sensor produced in the presence of aerosol clouds and for increasing the situation awareness and the location detection of obstacles involves transforming the sensor data are transformed into a 3D measurement point cloud, determining related subsets as measurement point clusters from the 3D measurement point cloud of an single measurement cycle of the 3D sensor based on the local measurement point density, determining at least one of the characteristic parameters of the individual measurement point clusters, the characteristic parameters including position, orientation in space, and shape, and determining a time variation of the characteristic parameters using the recorded parameters calculated from subsequent measurement cycles, from which the association of a measurement point cluster with a real obstacle or with the aerosol cloud results.
申请公布号 US2017023473(A1) 申请公布日期 2017.01.26
申请号 US201615208907 申请日期 2016.07.13
申请人 AIRBUS DS ELECTRONICS AND BORDER SECURITY GMBH 发明人 WEGNER Matthias;MUENSTERER Thomas
分类号 G01N21/53;B64C27/04;B64D45/08 主分类号 G01N21/53
代理机构 代理人
主权项 1. A method for segmenting 3D sensor data generated in presence of aerosol clouds to increase situation awareness and location detection of obstacles, the method comprising: receiving the 3D sensor data; transforming the 3D sensor data into a 3D measurement point cloud; determining measurement point clusters from the 3D measurement point cloud of a single measurement cycle of 3D sensor related subsets based on local measurement point density; determining at least one of the following characteristic parameters of individual measurement point clusters position,orientation in space,shape, producing an association of a measurement point cluster to a real obstacle or an association of a measurement point cluster to the aerosol cloud by determining time variation of the characteristic parameters using 3D sensor data recorded in subsequent measurement cycles.
地址 Taufkirchen DE