The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Dec. 20, 2022
Filed:
Mar. 31, 2020
Nvidia Corporation, Santa Clara, CA (US);
Alexander Popov, Kirkland, WA (US);
Nikolai Smolyanskiy, Seattle, WA (US);
Ryan Oldja, Redmond, WA (US);
Shane Murray, San Jose, CA (US);
Tilman Wekel, Sunnyvale, CA (US);
David Nister, Bellevue, WA (US);
Joachim Pehserl, Lynnwood, WA (US);
Ruchi Bhargava, Redmond, WA (US);
Sangmin Oh, San Jose, CA (US);
NVIDIA CORPORATION, Santa Clara, CA (US);
Abstract
In various examples, a deep neural network(s) (e.g., a convolutional neural network) may be trained to detect moving and stationary obstacles from RADAR data of a three dimensional (3D) space. In some embodiments, ground truth training data for the neural network(s) may be generated from LIDAR data. More specifically, a scene may be observed with RADAR and LIDAR sensors to collect RADAR data and LIDAR data for a particular time slice. The RADAR data may be used for input training data, and the LIDAR data associated with the same or closest time slice as the RADAR data may be annotated with ground truth labels identifying objects to be detected. The LIDAR labels may be propagated to the RADAR data, and LIDAR labels containing less than some threshold number of RADAR detections may be omitted. The (remaining) LIDAR labels may be used to generate ground truth data.