Selectively paired imaging elements for stereo images

    公开(公告)号:US11238603B2

    公开(公告)日:2022-02-01

    申请号:US16886328

    申请日:2020-05-28

    Abstract: This disclosure describes a configuration of an aerial vehicle, such as an unmanned aerial vehicle (“UAV”), that includes a plurality of cameras that may be selectively combined to form a stereo pair for use in obtaining stereo images that provide depth information corresponding to objects represented in those images. Depending on the distance between an object and the aerial vehicle, different cameras may be selected for the stereo pair based on the baseline between those cameras and a distance between the object and the aerial vehicle. For example, cameras with a small baseline (close together) may be selected to generate stereo images and depth information for an object that is close to the aerial vehicle. In comparison, cameras with a large baseline may be selected to generate stereo images and depth information for an object that is farther away from the aerial vehicle.

    Flare detection and avoidance in stereo vision systems

    公开(公告)号:US10538326B1

    公开(公告)日:2020-01-21

    申请号:US15253339

    申请日:2016-08-31

    Abstract: This disclosure is directed to monitoring exposure levels for individual cameras of a stereo camera system to reduce unwanted lens flaring which may disrupt stereo vision capabilities of an unmanned aerial vehicle (UAV). The UAV may identify lens flaring by monitoring histogram data received from the cameras and then mitigate the lens flaring by performing aerial maneuvers with respect to the light source and/or moving camera componentry such as deploying a lens hood. The UAV may also identify lens flaring patterns that on a camera's sensor and determine a location of a peripheral light source based on these patterns. The UAV may then deploy a visor between the location of the peripheral light source and the cameras.

    Processing images to remove precipitation

    公开(公告)号:US10182225B1

    公开(公告)日:2019-01-15

    申请号:US15253602

    申请日:2016-08-31

    Abstract: Images captured by a camera system can be processed to detect precipitation in one or more of the images, and to generate a reconstructed image(s) without the precipitation, or with a reduced amount of the precipitation. Detection of precipitation can be based on a difference between a first feature in a first image and a second feature in a second image that corresponds to the first feature, where the first and second images were captured by different cameras at different times. A determination as to whether precipitation is present in the first image and the second image can be based at least in part on a disparity between the first feature and the second feature.

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