Abstract: A system including a drone having a projector to project an image from a projection origin. The drone also has a navigation unit to determine location information for the drone. A processor coupled to the drone includes a memory. Execution of programming by the processor configures the system to obtain a projection surface architecture for a projection surface. The projection surface architecture includes reference points that correspond to physical locations on the projection surface. Each reference point is associated with relationship data with respect to an architecture origin. The system also receives location information for the drone, adapts the relationship data responsive to change in the location information, adjusts the image using the adapted relationship data, and projects the adjusted image onto the projection surface.

Abstract: Systems, devices, and methods for presenting information in the sky using drones are disclosed. The presentation of information includes navigating one or more drones to locations in the sky where the locations are associated with an image, emitting light signals at the locations, capturing the light signals with a user device, processing the captured signals to identify the image, capturing a background image including at least one of the locations associated with the image, and presenting simultaneously, on the user device, the identified image and the background image.

Abstract: A system including a drone having a projector to project an image from a projection origin. The drone also has a navigation unit to determine location information for the drone. A processor coupled to the drone includes a memory. Execution of programming by the processor configures the system to obtain a projection surface architecture for a projection surface. The projection surface architecture includes reference points that correspond to physical locations on the projection surface. Each reference point is associated with relationship data with respect to an architecture origin. The system also receives location information for the drone, adapts the relationship data responsive to change in the location information, adjusts the image using the adapted relationship data, and projects the adjusted image onto the projection surface.

Abstract: Detection of a launch event of an autonomous vehicle may consider input from a variety of sensors, including acceleration sensors and touch sensors In some aspects, a method includes receiving a first input from a touch sensor, receiving a second input from an accelerometer, determining whether a launch of the autonomous vehicle is detected based on the first input and the second input, and controlling the autonomous vehicle in response to the determining. In some aspects, when a launch is detected, a motor of the autonomous vehicle may be energized. By detecting a launch event in this manner, improved safety and reliability may be realized. A reduced occurrence of false positive launch events may reduce a risk that the motor of the autonomous vehicle is energized when the vehicle has not actually been launched.

Abstract: A method for controlling movement of a drone is disclosed. A spatial vector between a flight-capable drone and a reference object is computed. The spatial vector defines a direction and a distance by which the drone is spaced from the reference object. Flightpath attributes based on the computed vector are determined. The flightpath attributes include one or more of a flight direction, a flight distance, and a flight speed. The flight direction is variable as a function of the direction of the spatial vector. The flight distance is variable as a function of the distance of the spatial vector. The flight speed is variable as a function of the distance of the spatial vector.

Abstract: There is a remote control device or drone, which has software and a combination of lights or LED on an lighting ring or apparatus that can move independently of the drone; the drone can be programmed or be reactive to sound or other stimulus to create the effect of writing shapes or words in the air and typically at nighttime against a dark sky.

Abstract: Systems, devices, and methods for presenting information in the sky using drones are disclosed. The presentation of information includes navigating one or more drones to locations in the sky where the locations are associated with an image, emitting light signals at the locations, capturing the light signals with a user device, processing the captured signals to identify the image, capturing a background image including at least one of the locations associated with the image, and presenting simultaneously, on the user device, the identified image and the background image.

Abstract: A method for controlling movement of a drone is disclosed. A spatial vector between a flight-capable drone and a reference object is computed. The spatial vector defines a direction and a distance by which the drone is spaced from the reference object. Flightpath attributes based on the computed vector are determined. The flightpath attributes include one or more of a flight direction, a flight distance, and a flight speed. The flight direction is variable as a function of the direction of the spatial vector. The flight distance is variable as a function of the distance of the spatial vector. The flight speed is variable as a function of the distance of the spatial vector. In an automated operation, movement of the drone is controlled according to the determined flightpath attributes.

Abstract: A system including a drone having a projector to project an image from a projection origin. The drone also has a navigation unit to determine location information for the drone. A processor coupled to the drone includes a memory. Execution of programming by the processor configures the system to obtain a projection surface architecture for a projection surface. The projection surface architecture includes reference points that correspond to physical locations on the projection surface. Each reference point is associated with relationship data with respect to an architecture origin. The system also receives location information for the drone, adapts the relationship data responsive to change in the location information, adjusts the image using the adapted relationship data, and projects the adjusted image onto the projection surface.

Abstract: Systems, devices, and methods for presenting information in the sky using drones are disclosed. The presentation of information includes navigating one or more drones to locations in the sky where the locations are associated with an image, emitting light signals at the locations, capturing the light signals with a user device, processing the captured signals to identify the image, capturing a background image including at least one of the locations associated with the image, and presenting simultaneously, on the user device, the identified image and the background image.

Abstract: A system including a drone having a projector to project an image from a projection origin. The drone also has a navigation unit to determine location information for the drone. A processor coupled to the drone includes a memory. Execution of programming by the processor configures the system to obtain a projection surface architecture for a projection surface. The projection surface architecture includes reference points that correspond to physical locations on the projection surface. Each reference point is associated with relationship data with respect to an architecture origin. The system also receives location information for the drone, adapts the relationship data responsive to change in the location information, adjusts the image using the adapted relationship data, and projects the adjusted image onto the projection surface.

Abstract: Systems, devices, and methods for drone pairing are disclosed. Drones may be paired by configuring each of a first drone and a second drone in a drone pairing mode, establishing physical contact between the first drone and the second drone while in the drone pairing mode, determining an acceleration parameter for each of the first drone and the second drone related to the physical contact between the first drone and the second drone, comparing the determined acceleration parameter of the first drone and the determined acceleration parameter of the second drone to identify a match, and pairing the first drone and the second drone in response to the identified match between the compared acceleration parameters of the first and second drones.

Abstract: A method and system for creating a point cloud are disclosed. A first image is captured by a first camera sensor and a second image is captured by a second camera sensor. The first and the second image have an area of overlap. Location of the first camera relative to the second camera is predetermined and each of the first and the second camera is having a field of view of more than 180 degrees. Based on the area of overlap, the first and the second image are stitched to create a composite stitched image. In one aspect, depth information from the area of overlap is extracted based on the predetermined location and a point cloud is created from otherwise to be discarded image data in the area of overlap.

Abstract: Systems, devices, and methods for drone pairing are disclosed. Drones may be paired by configuring each of a first drone and a second drone in a drone pairing mode, establishing physical contact between the first drone and the second drone while in the drone pairing mode, determining an acceleration parameter for each of the first drone and the second drone related to the physical contact between the first drone and the second drone, comparing the determined acceleration parameter of the first drone and the determined acceleration parameter of the second drone to identify a match, and pairing the first drone and the second drone in response to the identified match between the compared acceleration parameters of the first and second drones.

Abstract: A method and system for creating a point cloud are disclosed. A first image is captured by a first camera sensor and a second image is captured by a second camera sensor. The first and the second image have an area of overlap. Location of the first camera relative to the second camera is predetermined and each of the first and the second camera is having a field of view of more than 180 degrees. Based on the area of overlap, the first and the second image are stitched to create a composite stitched image. In one aspect, depth information from the area of overlap is extracted based on the predetermined location and a point cloud is created from otherwise to be discarded image data in the area of overlap.