Abstract: An imaging system may include a plurality of networked imagers arranged in a geometric arrangement with respective fields of view covering part or all of a panoramic geometry, at least one inertial measurement unit (IMU) in communication with the networked imagers configured to generate orientation data indicating orientations of the plurality of networked imagers, and at least one processor in communication with the networked imagers and the at least one IMU. The at least one processor may be configured to receive a plurality of images from the plurality of networked imagers and combine the plurality of images into at least one combined image by positioning pixels of each of the plurality of images relative to pixels of the remaining plurality of images, associating the positioned pixels with the orientation data, and merging the oriented pixels of each of the plurality of images into the at least one combined image.

Abstract: At least one combined image may be created from a plurality of images captured by a plurality of cameras. A sensor unit may receive the plurality of images from the plurality of cameras. At least one processor in communication with the sensor unit may correlate each received image with calibration data for the camera from which the image was received. The calibration data may comprise camera position data and characteristic data. The processor may combine at least two of the received images from at least two of the cameras into the at least one combined image by orienting the at least two images relative to one another based on the calibration data for the at least two cameras from which the images were received and merging the at least two aligned images into the at least one combined image.

Abstract: At least one combined image may be created from a plurality of images captured by a plurality of cameras. A sensor unit may receive the plurality of images from the plurality of cameras. At least one processor in communication with the sensor unit may correlate each received image with calibration data for the camera from which the image was received. The calibration data may comprise camera position data and characteristic data. The processor may combine at least two of the received images from at least two of the cameras into the at least one combined image by orienting the at least two images relative to one another based on the calibration data for the at least two cameras from which the images were received and merging the at least two aligned images into the at least one combined image.

Abstract: An imaging system may include a plurality of networked imagers arranged in a geometric arrangement with respective fields of view covering part or all of a panoramic geometry, at least one inertial measurement unit (IMU) in communication with the networked imagers configured to generate orientation data indicating orientations of the plurality of networked imagers, and at least one processor in communication with the networked imagers and the at least one IMU. The at least one processor may be configured to receive a plurality of images from the plurality of networked imagers and combine the plurality of images into at least one combined image by positioning pixels of each of the plurality of images relative to pixels of the remaining plurality of images, associating the positioned pixels with the orientation data, and merging the oriented pixels of each of the plurality of images into the at least one combined image.

Abstract: An imaging system may include a plurality of networked imagers arranged in a geometric arrangement with respective fields of view covering part or all of a panoramic geometry, at least one inertial measurement unit (IMU) in communication with the networked imagers configured to generate orientation data indicating orientations of the plurality of networked imagers, and at least one processor in communication with the networked imagers and the at least one IMU. The at least one processor may be configured to receive a plurality of images from the plurality of networked imagers and combine the plurality of images into at least one combined image by positioning pixels of each of the plurality of images relative to pixels of the remaining plurality of images, associating the positioned pixels with the orientation data, and merging the oriented pixels of each of the plurality of images into the at least one combined image.

Abstract: An imaging system may include a plurality of networked imagers arranged in a geometric arrangement with respective fields of view covering part or all of a panoramic geometry, at least one inertial measurement unit (IMU) in communication with the networked imagers configured to generate orientation data indicating orientations of the plurality of networked imagers, and at least one processor in communication with the networked imagers and the at least one IMU. The at least one processor may be configured to receive a plurality of images from the plurality of networked imagers and combine the plurality of images into at least one combined image by positioning pixels of each of the plurality of images relative to pixels of the remaining plurality of images, associating the positioned pixels with the orientation data, and merging the oriented pixels of each of the plurality of images into the at least one combined image.

Abstract: At least one combined image may be created from a plurality of images captured by a plurality of cameras. A sensor unit may receive the plurality of images from the plurality of cameras. At least one processor in communication with the sensor unit may correlate each received image with calibration data for the camera from which the image was received. The calibration data may comprise camera position data and characteristic data, and may translate the data about a translated virtual center point translated a predetermined distance in space from the virtual center point. The processor may combine at least two of the received images from at least two of the cameras into the at least one combined image by orienting the at least two images relative to one another based on the calibration data for the at least two cameras from which the images were received and merging the at least two aligned images into the at least one combined image.

Abstract: At least one combined image may be created from a plurality of images captured by a plurality of cameras. A sensor unit may receive the plurality of images from the plurality of cameras. At least one processor in communication with the sensor unit may correlate each received image with calibration data for the camera from which the image was received. The calibration data may comprise camera position data and characteristic data. The processor may combine at least two of the received images from at least two of the cameras into the at least one combined image by orienting the at least two images relative to one another based on the calibration data for the at least two cameras from which the images were received and merging the at least two aligned images into the at least one combined image.

Abstract: At least one combined image may be created from a plurality of images captured by a plurality of cameras. A sensor unit may receive the plurality of images from the plurality of cameras. At least one processor in communication with the sensor unit may correlate each received image with calibration data for the camera from which the image was received. The calibration data may comprise camera position data and characteristic data. The processor may combine at least two of the received images from at least two of the cameras into the at least one combined image by orienting the at least two images relative to one another based on the calibration data for the at least two cameras from which the images were received and merging the at least two aligned images into the at least one combined image.

Abstract: At least one combined image may be created from a plurality of images captured by a plurality of cameras. A sensor unit may receive the plurality of images from the plurality of cameras. At least one processor in communication with the sensor unit may correlate each received image with calibration data for the camera from which the image was received. The calibration data may comprise camera position data and characteristic data, and may translate the data about a translated virtual center point translated a predetermined distance in space from the virtual center point. The processor may combine at least two of the received images from at least two of the cameras into the at least one combined image by orienting the at least two images relative to one another based on the calibration data for the at least two cameras from which the images were received and merging the at least two aligned images into the at least one combined image.

Abstract: At least one combined image may be created from a plurality of images captured by a plurality of cameras. A sensor unit may receive the plurality of images from the plurality of cameras. At least one processor in communication with the sensor unit may correlate each received image with calibration data for the camera from which the image was received. The calibration data may comprise camera position data and characteristic data. The processor may combine at least two of the received images from at least two of the cameras into the at least one combined image by orienting the at least two images relative to one another based on the calibration data for the at least two cameras from which the images were received and merging the at least two aligned images into the at least one combined image.

Abstract: At least one combined image may be created from a plurality of images captured by a plurality of cameras. A sensor unit may receive the plurality of images from the plurality of cameras. At least one processor in communication with the sensor unit may correlate each received image with calibration data for the camera from which the image was received. The calibration data may comprise camera position data and characteristic data. The processor may combine at least two of the received images from at least two of the cameras into the at least one combined image by orienting the at least two images relative to one another based on the calibration data for the at least two cameras from which the images were received and merging the at least two aligned images into the at least one combined image.

Abstract: At least one combined image may be created from a plurality of images captured by a plurality of cameras. A sensor unit may receive the plurality of images from the plurality of cameras. At least one processor in communication with the sensor unit may correlate each received image with calibration data for the camera from which the image was received. The calibration data may comprise camera position data and characteristic data. The processor may combine at least two of the received images from at least two of the cameras into the at least one combined image by orienting the at least two images relative to one another based on the calibration data for the at least two cameras from which the images were received and merging the at least two aligned images into the at least one combined image.