A self-contained battery-operated device is fixedly mounted to a drone device in a plurality of drone devices. The first self-contained battery-operated device includes one or more processors, an accelerometer, a gyroscope, a location detection device, a two-dimensional pixilated detector, and memory, all connected by a common bus. Time-stamped images of an environmental region are captured using the two-dimensional pixilated detector at a time when the drone device is airborne. For each of the captured time-stamped images, a respective set of meta data is obtained, which includes (1) rotational values obtained using the gyroscope, indicating a relative orientation of the self-contained battery-operated device with respect to a respective reference orientation at a time of image capture, and (2) location information obtained using the location detection device at a time of image capture. The time-stamped images and the respective sets of meta data are sent to a remote processing device.

Embodiments of systems and methods for a mobile mapping system are described. In an embodiment, a method includes capturing a plurality of images of an object point using a mobile computing platform. The method may also include determining an initial set of orientation parameters in response to one or more orientation sensors on the mobile computing platform. Additionally, the method may include calculating a corrected set of orientation parameters by matching object points in the plurality of images. Further, the method may include estimating a three-dimensional ground coordinate associated with the captured images in response to the corrected set of orientation parameters.

An unmanned autonomous vehicle assessment and reporting system may implement a boustrophedonic flight pattern for capturing images of a structure to develop a three-dimensional model of the same. A crisscross boustrophedonic flight pattern may include two or more boustrophedonic flight patterns that are at angles relative to one another.

A method for image generation, preferably including: generating a set of mission parameters for a UAV mission of the UAV associated with aerial scanning of a region of interest; controlling the UAV to perform the mission; generating an image subassembly corresponding to the mission; and/or rendering the image subassembly at a display.

A method for image generation, preferably including: generating a set of mission parameters for a UAV mission of the UAV associated with aerial scanning of a region of interest; controlling the UAV to perform the mission; generating an image subassembly corresponding to the mission; and/or rendering the image subassembly at a display.

A method for image generation, preferably including: generating a set of mission parameters for a UAV mission of the UAV associated with aerial scanning of a region of interest; controlling the UAV to perform the mission; generating an image subassembly corresponding to the mission; and/or rendering the image subassembly at a display.

A method for image generation, preferably including: generating a set of mission parameters for a UAV mission of the UAV associated with aerial scanning of a region of interest; controlling the UAV to perform the mission; generating an image subassembly corresponding to the mission; and/or rendering the image subassembly at a display.

A method for image generation, preferably including: generating a set of mission parameters for a UAV mission of the UAV associated with aerial scanning of a region of interest; controlling the UAV to perform the mission; generating an image subassembly corresponding to the mission; and/or rendering the image subassembly at a display.

A method for image generation, preferably including: generating a set of mission parameters for a UAV mission of the UAV associated with aerial scanning of a region of interest; controlling the UAV to perform the mission; generating an image subassembly corresponding to the mission; and/or rendering the image subassembly at a display.

An unmanned autonomous vehicle assessment and reporting system may implement a boustrophedonic flight pattern for capturing images of a structure to develop a three-dimensional model of the same. A crisscross boustrophedonic flight pattern may include two or more boustrophedonic flight patterns that are at angles relative to one another.