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1.
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: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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