IMAGING APPARATUS AND SOLID-STATE IMAGING DEVICE USED THEREIN

    公开(公告)号:US20190287256A1

    公开(公告)日:2019-09-19

    申请号:US16429965

    申请日:2019-06-03

    Abstract: An imaging apparatus that is mounted on a vehicle that runs on a road surface includes: a light source that emits illumination light which is infrared light; a solid-state imaging device that images a subject and outputs an imaging signal indicating a light exposure amount; and a computator that computes subject information regarding the subject by using the imaging signal. The solid-state imaging device includes: first pixels that image the subject by receiving reflected light that is the illumination light reflected off the subject; and second pixels that image the subject by receiving visible light. Information indicated by an imaging signal outputted from the first pixels is information regarding a slope of the road surface, and information indicated by an imaging signal outputted from the second pixels is information regarding an appearance of the road surface.

    DEPTH ACQUISITION DEVICE AND DEPTH ACQUISITION METHOD

    公开(公告)号:US20210142496A1

    公开(公告)日:2021-05-13

    申请号:US17157175

    申请日:2021-01-25

    Abstract: A depth acquisition device includes a memory and a processor. The processor performs; acquiring timing information indicating a timing at which a light source irradiates a subject with infrared light; acquiring an infrared light image stored in the memory, the infrared light image being generated by imaging a scene including the subject with the infrared light according to the timing indicated by the timing information; acquiring a visible light image stored in the memory, the visible light image being generated by imaging a substantially same scene as that of the infrared light image, with visible light from a substantially same viewpoint and at a substantially same imaging time of those of the infrared light image; detecting a dust region showing dust from the infrared light image; and estimating a depth of the dust region based on the infrared light image, the visible light image, and the dust region.

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