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公开(公告)号：US20210201048A1
公开(公告)日：2021-07-01
申请号：US17201316
申请日：2021-03-15
申请人： Apple Inc.
发明人： Lucian Ion , Daniel E. Potter , Evan C. Cull , Xiaofeng Tang
IPC分类号： G06K9/00 , G06K9/20 , G06K9/32 , G05D1/02 , G06K9/62 , H04N5/225 , H04N5/33 , H04N5/235 , H04N5/232
摘要： Systems and methods for night vision combining sensor image types. Some implementations may include obtaining a long wave infrared image from a long wave infrared sensor; detecting an object in the long wave infrared image; identifying a region of interest associated with the object; adjusting a control parameter of a near infrared sensor based on data associated with the region of interest; obtaining a near infrared image captured using the adjusted control parameter of the near infrared sensor; and determining a classification of the object based on data of the near infrared image associated with the region of interest.
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公开(公告)号：US10949679B2
公开(公告)日：2021-03-16
申请号：US16126509
申请日：2018-09-10
申请人： Apple Inc.
发明人： Lucian Ion , Daniel E. Potter , Evan C. Cull , Xiaofeng Tang
IPC分类号： G06K9/00 , G06K9/20 , G06K9/32 , G06K9/62 , G05D1/02 , H04N5/225 , H04N5/33 , H04N5/235 , H04N5/232
摘要： Systems and methods for night vision combining sensor image types. Some implementations may include obtaining a long wave infrared image from a long wave infrared sensor; detecting an object in the long wave infrared image; identifying a region of interest associated with the object; adjusting a control parameter of a near infrared sensor based on data associated with the region of interest; obtaining a near infrared image captured using the adjusted control parameter of the near infrared sensor; and determining a classification of the object based on data of the near infrared image associated with the region of interest.
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公开(公告)号：US20200342623A1
公开(公告)日：2020-10-29
申请号：US16856465
申请日：2020-04-23
申请人： Apple Inc.
发明人： Christy F. Cull , Evan C. Cull
摘要： Implementations described and claimed herein provide systems and methods for object detection. In one implementation, thermal energy data in a long wavelength infrared band for a wide field of view is obtained. The thermal energy data is captured using at least one long wavelength infrared sensor of a sensor suite mounted to a vehicle. A foveated long wavelength infrared image is generated from the thermal energy data. The foveated long wavelength infrared image has a higher resolution concentrated in a designated region of the wide field of view and a lower resolution in a remaining region of the wide field of view. Emissivity and temperature data for the designated region is obtained by processing the foveated long wavelength infrared image. One or more features in the designated region are resolved using the emissivity and temperature data.
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公开(公告)号：US11600075B2
公开(公告)日：2023-03-07
申请号：US17201316
申请日：2021-03-15
申请人： Apple Inc.
发明人： Lucian Ion , Daniel E. Potter , Evan C. Cull , Xiaofeng Tang
IPC分类号： G06V20/56 , G05D1/02 , G06V10/141 , G06V10/143 , G06V10/20 , G06V20/58 , H04N5/225 , H04N5/232 , H04N5/235 , H04N5/33 , G06K9/62
摘要： Systems and methods for night vision combining sensor image types. Some implementations may include obtaining a long wave infrared image from a long wave infrared sensor; detecting an object in the long wave infrared image; identifying a region of interest associated with the object; adjusting a control parameter of a near infrared sensor based on data associated with the region of interest; obtaining a near infrared image captured using the adjusted control parameter of the near infrared sensor; and determining a classification of the object based on data of the near infrared image associated with the region of interest.
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公开(公告)号：US20190095721A1
公开(公告)日：2019-03-28
申请号：US16126509
申请日：2018-09-10
申请人： Apple Inc.
发明人： Lucian Ion , Daniel E. Potter , Evan C. Cull , Xiaofeng Tang
摘要： Systems and methods for night vision combining sensor image types. Some implementations may include obtaining a long wave infrared image from a long wave infrared sensor; detecting an object in the long wave infrared image; identifying a region of interest associated with the object; adjusting a control parameter of a near infrared sensor based on data associated with the region of interest; obtaining a near infrared image captured using the adjusted control parameter of the near infrared sensor; and determining a classification of the object based on data of the near infrared image associated with the region of interest.
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