Aurora Flight Sciences Corporation, a subsidiary of The Boeing Company

Disclosed herein is a system that comprises an imaging sensor coupled to a robot. The system also comprises an imaging module configured to capture images of a scene within a field of view of the imaging sensor, which is coupled to the robot. The system further comprises an image-processing module configured to process the captured images to identify one or more objects within the field of view of the imaging sensor in the scene relative to the robot. The system additionally comprises a tracking module configured to track the one or more objects relative to the robot while the one or more objects are in motion based on the captured images.

A method includes receiving a first image that is captured at a first time. The method also includes detecting a location of a first object in the first image. The method also includes determining a region of interest based at least partially upon the location of the first object in the first image. The method also includes receiving a second image that is captured at a second time. The method also includes identifying the region of interest in the second image. The method also includes detecting a location of a second object in a portion of the second image that is outside of the region of interest.

A method includes receiving a first image that is captured at a first time. The method also includes detecting a location of a first object in the first image. The method also includes determining a region of interest based at least partially upon the location of the first object in the first image. The method also includes receiving a second image that is captured at a second time. The method also includes identifying the region of interest in the second image. The method also includes detecting a location of a second object in a portion of the second image that is outside of the region of interest.

A method includes identifying a first image. The method also includes determining a distribution based at least partially upon an intensity of each pixel in the first image. The method also includes determining that the distribution is bimodal. The method also includes dividing the first image to produce a second image in response to determining that the distribution is bimodal. The second image includes a plurality of first pixels and a plurality of second pixels. The method also includes determining that a horizon is defined between the plurality of first pixels and the plurality of second pixels.

A method includes receiving a first image that is captured at a first time. The method also includes detecting a location of a first object in the first image. The method also includes determining a region of interest based at least partially upon the location of the first object in the first image. The method also includes receiving a second image that is captured at a second time. The method also includes identifying the region of interest in the second image. The method also includes detecting a location of a second object in a portion of the second image that is outside of the region of interest.

A method includes identifying a first image that is captured at a first time. The method also includes segmenting the first image into a plurality of first image portions. The method also includes identifying a second image that is captured at a second time. The method also includes segmenting the second image into a plurality of second image portions. The method also includes comparing one of the plurality of first image portions and a corresponding one of the plurality of second image portions. The method also includes determining a difference between the first image and the second image based at least partially upon the comparison. The method also includes transforming the first image into a transformed first image based at least partially upon the difference.

An example of the present disclosure provides a stereo camera assembly of an object tracking system. The stereo camera assembly comprises a wide-angle lens camera mounted on a mounting structure and a telephoto lens camera mounted on the mounting structure such that a field of view of the telephoto lens camera is at least partially encompassed by a field of view of the wide-angle lens camera.

A digital video computing system receives two or more frames depicting an environment from a camera system of a vehicle. For a salient image feature identified in the two or more frames, a global motion vector is calculated that is indicative of movement of the feature at least partially attributable to movement of the vehicle. A local motion vector is calculated that is indicative of movement of the feature independent from the movement of the vehicle. Based on the local motion vector, the salient image feature is determined to have an apparent motion relative to the environment that is independent from the movement of the vehicle. A candidate image patch is identified including the salient image feature. The candidate image patch is analyzed to output a likelihood that the candidate image patch depicts a second vehicle.

An example of the present disclosure provides a stereo camera assembly of an object tracking system. The stereo camera assembly comprises a wide-angle lens camera mounted on a mounting structure and a telephoto lens camera mounted on the mounting structure such that a field of view of the telephoto lens camera is at least partially encompassed by a field of view of the wide-angle lens camera.

Disclosed herein is a system that comprises an imaging sensor coupled to a robot. The system also comprises an imaging module configured to capture images of a scene within a field of view of the imaging sensor, which is coupled to the robot. The system further comprises an image-processing module configured to process the captured images to identify an object above a horizon in the scene within the field of view of the imaging sensor. The system additionally comprises a tracking module configured to track a trajectory of the object based on the captured images to determine positions of the object relative to the robot.