US 12,092,731 B2
Synthetic generation of radar and LIDAR point clouds
Andrej Junginger, Stuttgart (DE); Melissa Lober, Gerlingen (DE); Michael Johannes Oechsle, Tuebingen (DE); and Thilo Strauss, Ludwigsburg (DE)
Assigned to ROBERT BOSCH GMBH, Stuttgart (DE)
Filed by Robert Bosch GmbH, Stuttgart (DE)
Filed on Feb. 3, 2022, as Appl. No. 17/649,877.
Claims priority of application No. 10 2021 201 331.7 (DE), filed on Feb. 12, 2021.
Prior Publication US 2022/0260706 A1, Aug. 18, 2022
Int. Cl. G01S 13/90 (2006.01); G01S 7/41 (2006.01); G01S 7/48 (2006.01); G01S 13/86 (2006.01); G01S 13/93 (2020.01); G01S 13/931 (2020.01); G01S 17/93 (2020.01); G01S 17/931 (2020.01)
CPC G01S 13/90 (2013.01) [G01S 7/411 (2013.01); G01S 7/4802 (2013.01); G01S 13/865 (2013.01); G01S 13/931 (2013.01); G01S 17/931 (2020.01)] 13 Claims
OG exemplary drawing
 
1. A method for synthetically generating a point cloud of radar or LIDAR reflections, each reflection indicating at least one location at which radar or LIDAR interrogating radiation has been reflected, the method comprising the following steps:
providing distribution functions which each, according to a random distribution, provide samples for at least one of a plurality of variables contained in the radar or LIDAR reflections;
generating synthetic reflections by drawing samples in each case from the distribution functions for the variables contained in the radar or LIDAR reflections, and selecting one of the distribution functions according to at least one selection random distribution to draw each sample;
combining the synthetic reflections to form a sought synthetic point cloud.