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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.
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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.
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公开(公告)号:US12187187B1
公开(公告)日:2025-01-07
申请号:US18450989
申请日:2023-08-16
Applicant: NVIDIA Corporation
Inventor: Keerthi Raj Nagaraja , Arjun Gupta , Abhishek Bajpayee , Kivanc Temel , Dylan Doblar , Sai Krishnan Chandrasekar , Yu Wang
Abstract: The present disclosure relates to determining a first illumination level corresponding to an area based at least on a first illumination detection obtained using a first illumination detector corresponding to a machine. A second illumination level corresponding to the area may be determined based at least on a second illumination detection obtained using a second illumination detector corresponding to the machine. Based at least on the first illumination level and the second illumination level, a scene illumination state of the area may be determined. Based at least on the scene illumination state, one or more lights of the machine may be controlled.
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