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:
Sep. 17, 2024
Filed:
Jun. 28, 2023
Nvidia Corporation, Santa Clara, CA (US);
Yilin Yang, Santa Clara, CA (US);
Bala Siva Sashank Jujjavarapu, Sunnyvale, CA (US);
Pekka Janis, Uusimaa, FI;
Zhaoting Ye, Santa Clara, CA (US);
Sangmin Oh, San Jose, CA (US);
Minwoo Park, Saratoga, CA (US);
Daniel Herrera Castro, Uusimaa, FI;
Tommi Koivisto, Uusimaa, FI;
David Nister, Bellevue, WA (US);
NVIDIA Corporation, Santa Clara, CA (US);
Abstract
In various examples, a deep neural network (DNN) is trained to accurately predict, in deployment, distances to objects and obstacles using image data alone. The DNN may be trained with ground truth data that is generated and encoded using sensor data from any number of depth predicting sensors, such as, without limitation, RADAR sensors, LIDAR sensors, and/or SONAR sensors. Camera adaptation algorithms may be used in various embodiments to adapt the DNN for use with image data generated by cameras with varying parameters—such as varying fields of view. In some examples, a post-processing safety bounds operation may be executed on the predictions of the DNN to ensure that the predictions fall within a safety-permissible range.