Abstract: In some embodiments, a first image may be captured from a first field of view using a first exposure time. A second image may be captured from a second field of view using a second exposure time that is different than the first exposure time. An overlapping field of view may be defined by an overlapping portion of the first field of view and the second field of view. Histograms may be created for the first image and the second image, and possibly more images that include different exposure times and represent the overlapping field of view. The histograms may be analyzed to determine a presence or an absence of a light source in the overlapping field of view.

Abstract: Described are systems and methods for surveying a destination as an unmanned aerial vehicle (“UAV”) descends toward the destination. To confirm that the destination is clear of objects and includes a safe landing or delivery location, such as a substantially planar surface, the UAV may capture and process images at different altitudes during the descent. Feature points of a first image captured at a first altitude may be paired with feature points of a second image captured at a second, different altitude. A homography may be computed to confirm that the paired feature points lie in the same plane and then the two images may be registered based on the paired feature points. The registered images may then be processed to determine depth information and determine if descent of the UAV is to continue or be aborted.

Abstract: Described are systems and methods for surveying a destination as an unmanned aerial vehicle (“UAV”) descends toward the destination. To confirm that the destination is clear of objects and includes a safe landing or delivery location, such as a substantially planar surface, the UAV may capture and process images at different altitudes during the descent. Feature points of a first image captured at a first altitude may be paired with feature points of a second image captured at a second, different altitude. A homography may be computed to confirm that the paired feature points lie in the same plane and then the two images may be registered based on the paired feature points. The registered images may then be processed to determine depth information and determine if descent of the UAV is to continue or be aborted.

Abstract: Described are systems and methods for surveying a destination as an unmanned aerial vehicle (“UAV”) descends toward the destination. To confirm that the destination is clear of objects and includes a safe landing or delivery location, such as a substantially planar surface, the UAV may capture and process images at different altitudes during the descent. Feature points of a first image captured at a first altitude may be paired with feature points of a second image captured at a second, different altitude. A homography may be computed to confirm that the paired feature points lie in the same plane and then the two images may be registered based on the paired feature points. The registered images may then be processed to determine depth information and determine if descent of the UAV is to continue or be aborted.

Abstract: An incident light meter on an autonomous vehicle receives ambient light and outputs an incident light measurement in response the ambient light. One or more image sensors of the autonomous vehicle image the environment of the autonomous vehicle. An exposure setting is generated at least in part on the incident light measurement. The one or more image sensors capture a digital image at the exposure setting.

Abstract: An incident light meter on an autonomous vehicle receives ambient light and outputs an incident light measurement in response the ambient light. One or more image sensors of the autonomous vehicle image the environment of the autonomous vehicle. An exposure setting is generated at least in part on the incident light measurement. The one or more image sensors capture a digital image at the exposure setting.

Abstract: Described are systems and methods for surveying a destination as an unmanned aerial vehicle (“UAV”) descends toward the destination. To confirm that the destination is clear of objects and includes a safe landing or delivery location, such as a substantially planar surface, the UAV may capture and process images at different altitudes during the descent. Feature points of a first image captured at a first altitude may be paired with feature points of a second image captured at a second, different altitude. A homography may be computed to confirm that the paired feature points lie in the same plane and then the two images may be registered based on the paired feature points. The registered images may then be processed to determine depth information and determine if descent of the UAV is to continue or be aborted.

Abstract: An incident light meter on an autonomous vehicle receives ambient light and outputs an incident light measurement in response the ambient light. One or more image sensors of the autonomous vehicle image the environment of the autonomous vehicle. An exposure setting is generated at least in part on the incident light measurement. The one or more image sensors capture a digital image at the exposure setting.