US 11,915,493 B2
Multi-view deep neural network for LiDAR perception
Nikolai Smolyanskiy, Santa Clara, CA (US); Ryan Oldja, Santa Clara, CA (US); Ke Chen, Santa Clara, CA (US); Alexander Popov, Santa Clara, CA (US); Joachim Pehserl, Santa Clara, CA (US); Ibrahim Eden, Santa Clara, CA (US); Tilman Wekel, Santa Clara, CA (US); David Wehr, Santa Clara, CA (US); Ruchi Bhargava, Santa Clara, CA (US); and David Nister, Santa Clara, CA (US)
Assigned to NVIDIA Corporation, Santa Clara, CA (US)
Filed by NVIDIA Corporation, Santa Clara, CA (US)
Filed on Aug. 25, 2022, as Appl. No. 17/895,940.
Application 17/895,940 is a continuation of application No. 16/915,346, filed on Jun. 29, 2020, granted, now 11,532,168.
Application 16/915,346 is a continuation of application No. 16/836,583, filed on Mar. 31, 2020.
Application 16/836,583 is a continuation of application No. 16/836,618, filed on Mar. 31, 2020, granted, now 11,531,088.
Claims priority of provisional application 62/938,852, filed on Nov. 21, 2019.
Claims priority of provisional application 62/936,080, filed on Nov. 15, 2019.
Prior Publication US 2022/0415059 A1, Dec. 29, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 20/58 (2022.01); G01S 17/931 (2020.01); B60W 60/00 (2020.01); G01S 17/89 (2020.01); G05D 1/00 (2006.01); G06T 19/00 (2011.01); G06N 3/045 (2023.01)
CPC G06V 20/584 (2022.01) [B60W 60/0011 (2020.02); B60W 60/0016 (2020.02); B60W 60/0027 (2020.02); G01S 17/89 (2013.01); G01S 17/931 (2020.01); G05D 1/0088 (2013.01); G06N 3/045 (2023.01); G06T 19/006 (2013.01); G06V 20/58 (2022.01); B60W 2420/403 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30261 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
receiving first classification data representing one or more classifications in a first two dimensional (2D) view of an environment;
generating, based at least on projecting the one or more classifications from the first 2D view to a second 2D view of the environment, second classification data representing the one or more classifications in the second 2D view; and
generating, using one or more Neural Networks (NNs) and based at least on the second classification data, one or more outputs.