US 11,861,780 B2
Point cloud data management using key value pairs for class based rasterized layers
Hendrik F. Hamann, Yorktown Heights, NY (US); Carlo Siebenschuh, White Plains, NY (US); Siyuan Lu, Belmont, CA (US); and Conrad M. Albrecht, White Plains, NY (US)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Nov. 17, 2021, as Appl. No. 17/455,371.
Prior Publication US 2023/0154098 A1, May 18, 2023
Int. Cl. G06T 15/00 (2011.01); G06F 16/583 (2019.01); G06F 16/55 (2019.01); G06F 16/51 (2019.01)
CPC G06T 15/00 (2013.01) [G06F 16/51 (2019.01); G06F 16/55 (2019.01); G06F 16/583 (2019.01)] 17 Claims
OG exemplary drawing
 
1. A computer implemented method for rasterizing point cloud data, the computer implemented method comprising:
rasterizing, by a number of processor units, the point cloud data into rasterized layers based on classes in which each rasterized layer in the rasterized layers corresponds to a class in the classes, wherein a rasterized layer in the rasterized layers comprises a matrix in which longitudes and latitudes are indices and heights are values;
creating, by the number of processor units, key value pairs from the rasterized layers; and
storing, by the number of processor units, the key value pairs in a key value store.