# US 2026/0075321 A1 · Aerial vehicle composite imaging using fixed cameras and range information > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2026/0075321 A1 - Document ID: US20260075321A1 - Status: Published application - Kind: A1 - Application number: 19/389,578 - Filed: 2025-11-14 - Published: 2026-03-12 - Earliest claimed: 2020-07-12 - Assignees: Skydio, Inc. - Applicants: Skydio, Inc. - Inventors: Peter Benjamin HENRY; Hayk MARTIROSYAN; Abraham Galton BACHRACH; Clement GODARD; Adam Parker BRY; Ryan David KENNEDY - Web page: https://patentgrep.com/patent/US20260075321A1 ## CPC - H04N 23/698: for achieving an enlarged field of view, e.g. panoramic image capture - B64U 20/87: Mounting of imaging devices, e.g. mounting of gimbals - G05D 1/0038: {by providing the operator with simple or augmented images from one or more cameras located onboard the vehicle, e.g. tele-operation (images analyzed by a computer and used for automatic navigation G05D1/0246)} - G05D 1/0808: {specially adapted for aircraft} - G05D 1/249: from positioning sensors located off-board the vehicle, e.g. from cameras - H04N 5/2628: {Alteration of picture size, shape, position or orientation, e.g. zooming, rotation, rolling, perspective, translation} - H04N 5/265: Mixing - H04N 23/60: Control of cameras or camera modules - H04N 23/62: Control of parameters via user interfaces - H04N 23/632: {for displaying or modifying preview images prior to image capturing, e.g. variety of image resolutions or capturing parameters} - H04N 23/661: Transmitting camera control signals through networks, e.g. control via the Internet - H04N 23/69: Control of means for changing angle of the field of view, e.g. optical zoom objectives or electronic zooming - H04N 23/90: Arrangement of cameras or camera modules, e.g. multiple cameras in TV studios or sports stadiums - B64D 47/08: Arrangements of cameras - B64U 10/14: with four distinct rotor axes, e.g. quadcopters - B64U 2101/30: for imaging, photography or videography - B64U 2201/20: Remote controls - H04N: PICTORIAL COMMUNICATION, e.g. TELEVISION - B64U: UNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR - G05D: SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES - B64D: EQUIPMENT FOR FITTING IN OR TO AIRCRAFT; FLIGHT SUITS; PARACHUTES; ARRANGEMENT OR MOUNTING OF POWER PLANTS OR PROPULSION TRANSMISSIONS IN AIRCRAFT ## Abstract Examples include an aerial vehicle having a plurality of fixed cameras mounted on the aerial vehicle. The aerial vehicle further includes one or more processors configured to capture, using the plurality of fixed cameras on the aerial vehicle, a plurality of images of an environment in which the aerial vehicle is operating. Based at least on the plurality of images, the one or more processors perform image-based range estimation to determine range information including estimated distances from the aerial vehicle to one or more portions of the environment. The one or more processors associate the range information with at least one image of the plurality of images of the environment. Based at least in part on the range information, at least some of the plurality of images are displayed as a composite image at a ground device. ## Claims ### Claim 1 A method comprising: capturing, by a plurality of fixed cameras on an aerial vehicle, a plurality of images of an environment in which the aerial vehicle is operating; based at least on the plurality of images, performing image-based range estimation to determine range information including estimated distances from the aerial vehicle to one or more portions of the environment; associating the range information with at least one image of the plurality of images of the environment; and based at least in part on the range information, displaying at least some of the plurality of images as a composite image at a ground device. ### Claim 2 (depends on 1) The method as recited in claim 1, further comprising: assembling, by the aerial vehicle, the at least some of the plurality of images into the composite image based at least on using the range information to at least one of align or blend the plurality of images into the composite image. ### Claim 3 (depends on 1) The method as recited in claim 1, further comprising: assembling, by the ground device, the at least some of the plurality of images into the composite image based at least on using the range information to at least one of align or blend the plurality of images into the composite image. ### Claim 4 (depends on 1) The method as recited in claim 1, wherein: performing the image-based range estimation includes generating a range map based at least on determining a parallax between same portions of the environment that are recognized portions in different images from different fixed cameras to determine a distance between the aerial vehicle and the recognized portions of the environment. ### Claim 5 (depends on 1) The method as recited in claim 1, wherein: performing the image-based range estimation includes using a trained model that receives at least the plurality of images as an input for generating a range map that indicates distances between the aerial vehicle and same portions of the environment that are recognized portions in different images from the fixed cameras. ### Claim 6 (depends on 1) The method as recited in claim 1, further comprising: determining, based at least on information received from an accelerometer on the aerial vehicle, an attitude of the aerial vehicle; and rotating the composite image based at least on the attitude of the aerial vehicle prior to presentation of the composite image at the ground device. ### Claim 7 (depends on 1) The method as recited in claim 1, wherein at least some of the fixed cameras are arranged on an upper side of the aerial vehicle and others of the fixed cameras are arranged on an under side of the aerial vehicle, and at least some of the fixed cameras have overlapping fields of view to enable capturing of a spherical field of view around the aerial vehicle, the method further comprising: providing the composite image based at least on the spherical field of view provided by the fixed cameras. ### Claim 8 (depends on 7) The method as recited in claim 7, further comprising: positioning, on a gimbal mounted on the aerial vehicle, a non-fixed camera having a longer focal length than the fixed cameras, the non-fixed camera positioned so that all points in the spherical field of view are within a field of view of at least one of the fixed cameras regardless of movement of the gimbal and the non-fixed camera. ### Claim 9 (depends on 1) The method as recited in claim 1, wherein: the plurality of images from the fixed cameras are used for generating the composite image, and at least some of the images of the plurality of images are used by the aerial vehicle for obstacle avoidance during navigation of the aerial vehicle within the environment. ### Claim 10 An aerial vehicle comprising: a plurality of fixed cameras mounted on the aerial vehicle; and one or more processors configured by executable instructions to at least: capture, using the plurality of fixed cameras on the aerial vehicle, a plurality of images of an environment in which the aerial vehicle is operating; based at least on the plurality of images, perform image-based range estimation to determine range information including estimated distances from the aerial vehicle to one or more portions of the environment; associate the range information with at least one image of the plurality of images of the environment; and send the plurality of images to a ground device for displaying, based at least in part on the range information, at least some of the plurality of images as a composite image at the ground device. ### Claim 11 (depends on 10) The aerial vehicle as recited in claim 10, wherein the one or more processors are further configured by the executable instructions to: assemble the at least some of the plurality of images into the composite image based at least on using the range information to at least one of align or blend the plurality of images into the composite image. ### Claim 12 (depends on 10) The aerial vehicle as recited in claim 10, wherein the one or more processors are further configured by the executable instructions to perform the image-based range estimation by at least one of: generating a range map by determining a parallax between same portions of the environment that are recognized portions in different images from different fixed cameras to determine a distance between the aerial vehicle and the recognized portions of the environment; or using a trained model that receives at least the plurality of images as an input for generating a range map that indicates distances between the aerial vehicle and same portions of the environment that are recognized portions in different images from the fixed cameras. ### Claim 13 (depends on 10) The aerial vehicle as recited in claim 10, wherein the one or more processors are further configured by the executable instructions to: determine, based at least on information received from an accelerometer on the aerial vehicle, an attitude of the aerial vehicle; and rotate the composite image based at least on the attitude of the aerial vehicle prior to presentation of the composite image at the ground device. ### Claim 14 (depends on 10) The aerial vehicle as recited in claim 10, wherein: at least some of the fixed cameras are arranged on an upper side of the aerial vehicle and others of the fixed cameras are arranged on an under side of the aerial vehicle, and at least some of the fixed cameras have overlapping fields of view to enable capturing of a spherical field of view around the aerial vehicle, and the one or more processors are further configured by the executable instructions to generate the composite image based at least on the spherical field of view provided by the fixed cameras. ### Claim 15 (depends on 14) The aerial vehicle as recited in claim 14, further comprising: a non-fixed camera mounted on a gimbal mounted on the aerial vehicle, the non-fixed camera having a longer focal length than the fixed cameras, the non-fixed camera positioned so that all points in the spherical field of view are within a field of view of at least one of the fixed cameras regardless of movement of the gimbal and the non-fixed camera. ### Claim 16 (depends on 10) The aerial vehicle as recited in claim 10, wherein: the plurality of images from the fixed cameras are used for generating the composite image, and at least some of the images of the plurality of images are used by the aerial vehicle for obstacle avoidance during navigation of the aerial vehicle within the environment. ### Claim 17 A method comprising: capturing, by a plurality of fixed cameras on an aerial vehicle, a plurality of images of an environment in which the aerial vehicle is operating; based at least on the plurality of images, performing image-based range estimation to determine range information including estimated distances from the aerial vehicle to one or more portions of the environment; associating the range information with at least one image of the plurality of images of the environment; based at least in part on the range information, displaying at least some of the plurality of images as a composite image at a mobile controller having a display; and using, by the aerial vehicle, at least some of the images of the plurality of images for obstacle avoidance during navigation of the aerial vehicle within the environment. ### Claim 18 (depends on 17) The method as recited in claim 17, further comprising: assembling the at least some of the plurality of images into the composite image based at least on using the range information to at least one of align or blend the plurality of images into the composite image. ### Claim 19 (depends on 17) The method as recited in claim 17, wherein performing the image-based range estimation includes at least one of: generating a range map based at least on determining a parallax between same portions of the environment that are recognized portions in different images from different fixed cameras to determine a distance between the aerial vehicle and the recognized portions of the environment; or using a trained model that receives at least the plurality of images as an input for generating a range map that indicates distances between the aerial vehicle and same portions of the environment that are recognized portions in different images from the fixed cameras. ### Claim 20 (depends on 17) The method as recited in claim 17, wherein at least some of the fixed cameras are arranged on an upper side of the aerial vehicle and others of the fixed cameras are arranged on an under side of the aerial vehicle, and at least some of the fixed cameras have overlapping fields of view to enable capturing of a spherical field of view around the aerial vehicle, the method further comprising: generating the composite image based at least on the spherical field of view provided by the fixed cameras.