US 11,941,887 B2
Scenario recreation through object detection and 3D visualization in a multi-sensor environment
Parthasarathy Sriram, Los Altos, CA (US); Ratnesh Kumar, Campbell, CA (US); Farzin Aghdasi, East Palo Alto, CA (US); Arman Toorians, San Jose, CA (US); Milind Naphade, Cupertino, CA (US); Sujit Biswas, San Jose, CA (US); Vinay Kolar, Cupertino, CA (US); Bhanu Pisupati, Santa Clara, CA (US); and Aaron Bartholomew, San Francisco, CA (US)
Assigned to NVIDIA Corporation, Santa Clara, CA (US)
Filed by NVIDIA Corporation, Santa Clara, CA (US)
Filed on Sep. 13, 2022, as Appl. No. 17/943,489.
Application 17/943,489 is a continuation of application No. 16/896,431, filed on Jun. 9, 2020, granted, now 11,443,555.
Application 16/896,431 is a continuation of application No. 16/365,581, filed on Mar. 26, 2019, granted, now 11,182,598, issued on Nov. 23, 2021.
Claims priority of provisional application 62/648,339, filed on Mar. 26, 2018.
Prior Publication US 2023/0016568 A1, Jan. 19, 2023
Int. Cl. G06V 40/20 (2022.01); G06F 18/231 (2023.01); G06F 18/2413 (2023.01); G06T 7/246 (2017.01); G06T 7/292 (2017.01); G06T 7/70 (2017.01); G06T 7/73 (2017.01); G06V 10/147 (2022.01); G06V 10/20 (2022.01); G06V 10/25 (2022.01); G06V 10/762 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/52 (2022.01); G06V 20/54 (2022.01); G06V 20/58 (2022.01); H04N 5/247 (2006.01); H04N 23/90 (2023.01); G06V 20/62 (2022.01)
CPC G06V 20/54 (2022.01) [G06F 18/231 (2023.01); G06F 18/24143 (2023.01); G06T 7/246 (2017.01); G06T 7/292 (2017.01); G06T 7/70 (2017.01); G06T 7/73 (2017.01); G06V 10/147 (2022.01); G06V 10/25 (2022.01); G06V 10/255 (2022.01); G06V 10/7625 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/52 (2022.01); G06V 20/584 (2022.01); G06V 40/20 (2022.01); H04N 23/90 (2023.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30201 (2013.01); G06T 2207/30232 (2013.01); G06T 2207/30241 (2013.01); G06T 2207/30264 (2013.01); G06V 20/625 (2022.01); G06V 2201/08 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
clustering, into one or more clusters, bounding shape information corresponding to one or more objects in first image data depicting one or more fields of view of at least one sensor, the clustering being based at least on similarities between two or more bounding shapes included in the bounding shape information;
determining one or more values of one or more attributes of a region of interest (RoI) based at least on at least one cluster of the one or more clusters;
assigning the RoI to a designated area in an environment based at least on a frequency of occupancy associated with the at least one cluster being above a threshold value:
determining, using second image data, an object region that includes at least a portion of an object; and
determining an occupancy status of the designated area based at least on comparing the object region to at least one value of the one or more values.