公开(公告)号：US20230110027A1

公开(公告)日：2023-04-13

申请号：US17449306

申请日：2021-09-29

Applicant: NVIDIA Corporation

Inventor： Abhishek Bajpayee ,  Arjun Gupta ,  George Tang ,  Hae-Jong Seo

IPC: B60W30/095 ,  B60W30/09 ,  B60W40/02 ,  G06N3/08 ,  G06K9/62

Abstract: In various examples, systems and methods are disclosed that use one or more machine learning models (MLMs) - such as deep neural networks (DNNs) - to compute outputs indicative of an estimated visibility distance corresponding to sensor data generated using one or more sensors of an autonomous or semi-autonomous machine. Once the visibility distance is computed using the one or more MLMs, a determination of the usability of the sensor data for one or more downstream tasks of the machine may be evaluated. As such, where an estimated visibility distance is low, the corresponding sensor data may be relied upon for less tasks than when the visibility distance is high.

公开(公告)号：US20230177839A1

公开(公告)日：2023-06-08

申请号：US17540654

申请日：2021-12-02

Applicant: NVIDIA Corporation

Inventor： Abhishek Bajpayee ,  Arjun Gupta ,  Dylan Doblar ,  Hae-Jong Seo ,  George Tang ,  Keerthi Raj Nagaraja

IPC: G06V20/56 ,  G06K9/62 ,  G06T3/40 ,  G06V10/764 ,  H04N5/232 ,  G06V10/82 ,  G06N3/04 ,  B60R16/023

CPC classification number: G06V20/56 ,  G06K9/6232 ,  G06T3/4046 ,  G06V10/764 ,  H04N5/23229 ,  G06V10/82 ,  G06N3/04 ,  B60R16/0231

Abstract: In various examples, methods and systems are provided for determining, using a machine learning model, one or more of the following operational domain conditions related to an autonomous and/or semi-autonomous machine: amount of camera blindness, blindness classification, illumination level, path surface condition, visibility distance, scene type classification, and distance to a scene. Once one or more of these conditions are determined, an operational level of the machine may be determined, and the machine may be controlled according to the operational level.