Abstract: Systems and methods for unmanned aerial vehicle (UAV) course profiling are provided. A plurality of images may be captured by a UAV flying along a course at a first location. A profile may be constructed for the course based on the images captured by the UAV. The constructed course profile is transmitted over a communication network to a virtual reality system at a second location. The virtual reality system may generate a virtual environment corresponding to the course based on the constructed course profile, and a second UAV at the second location may fly along the virtual course.

Abstract: A collision avoidance system for an unmanned aerial vehicle (UAV) receives physical space data for a flight area and creates a virtual world model to represent the flight area by mapping the physical space data with a physics engine. The automatic collision avoidance system creates a virtual UAV model to represent the UAV in the virtual world model. The automatic collision avoidance system receives flight data for the UAV and determines a current position of the virtual UAV model within the virtual world model. The automatic collision avoidance system determines a predicted trajectory of the virtual UAV model within the virtual world model, and determines whether the predicted trajectory will result in a collision of the virtual UAV model with the virtual world model. The automatic collision avoidance system performs evasive actions by the UAV, in response to determining that the predicted trajectory will result in a collision.

Abstract: A steering assist system for an unmanned aerial vehicle (UAV) receives physical space data for a flight area, and creates a virtual world model to represent the flight area by mapping the physical space data with a physics engine. The steering assist system creates a virtual UAV model to represent the UAV in the virtual world model. The steering assist system determines capability parameters for the UAV, and receives flight data for the UAV. The steering assist system determines a predicted trajectory for the virtual UAV model within the virtual world model, based on the capability parameters and flight data for the UAV. The steering assist system determines a navigation suggestion for the UAV based on the predicted trajectory and capability parameters for the UAV, and displays the navigation suggestion.

Abstract: Systems and methods for unmanned aerial vehicle (UAV) course profiling are provided. A plurality of images may be captured by a UAV flying along a course at a first location. A profile may be constructed for the course based on the images captured by the UAV. The constructed course profile is transmitted over a communication network to a virtual reality system at a second location. The virtual reality system may generate a virtual environment corresponding to the course based on the constructed course profile, and a second UAV at the second location may fly along the virtual course.

Abstract: The present disclosure is related to unmanned aerial vehicles or drones that have a capability of quickly swapping batteries. This may be accomplished even as the drone continues to fly. A drone consistent with the present disclosure may drop one battery and pickup another using an attachment mechanism. Attachment mechanisms of the present disclosure may include electro-magnets, mechanical actuators, pins, or hooks. Systems consistent with the present disclosure may also include locations where replacement batteries may be provided to aircraft via actuation devices coupled to a physical location.

Abstract: A collision avoidance system for an unmanned aerial vehicle (UAV) receives physical space data for a flight area and creates a virtual world model to represent the flight area by mapping the physical space data with a physics engine. The automatic collision avoidance system creates a virtual UAV model to represent the UAV in the virtual world model. The automatic collision avoidance system receives flight data for the UAV and determines a current position of the virtual UAV model within the virtual world model. The automatic collision avoidance system determines a predicted trajectory of the virtual UAV model within the virtual world model, and determines whether the predicted trajectory will result in a collision of the virtual UAV model with the virtual world model. The automatic collision avoidance system performs evasive actions by the UAV, in response to determining that the predicted trajectory will result in a collision.

Abstract: Systems and methods for unmanned aerial vehicle (UAV) course profiling are provided. A plurality of images may be captured by a UAV flying along a course at a first location. A profile may be constructed for the course based on the images captured by the UAV. The constructed course profile is transmitted over a communication network to a virtual reality system at a second location. The virtual reality system may generate a virtual environment corresponding to the course based on the constructed course profile, and a second UAV at the second location may fly along the virtual course.

Abstract: A collision avoidance system for an unmanned aerial vehicle (UAV) receives physical space data for a flight area and creates a virtual world model to represent the flight area by mapping the physical space data with a physics engine. The automatic collision avoidance system creates a virtual UAV model to represent the UAV in the virtual world model. The automatic collision avoidance system receives flight data for the UAV and determines a current position of the virtual UAV model within the virtual world model. The automatic collision avoidance system determines a predicted trajectory of the virtual UAV model within the virtual world model, and determines whether the predicted trajectory will result in a collision of the virtual UAV model with the virtual world model. The automatic collision avoidance system performs evasive actions by the UAV, in response to determining that the predicted trajectory will result in a collision.

Abstract: Systems and methods for unmanned aerial vehicle (UAV) course profiling are provided. A plurality of images may be captured by a UAV flying along a course at a first location. A profile may be constructed for the course based on the images captured by the UAV. The constructed course profile is transmitted over a communication network to a virtual reality system at a second location. The virtual reality system may generate a virtual environment corresponding to the course based on the constructed course profile, and a second UAV at the second location may fly along the virtual course.

Abstract: Systems and methods for unmanned aerial vehicle (UAV) course profiling are provided. A plurality of images may be captured by a UAV flying along a course at a first location. A profile may be constructed for the course based on the images captured by the UAV. The constructed course profile is transmitted over a communication network to a virtual reality system at a second location. The virtual reality system may generate a virtual environment corresponding to the course based on the constructed course profile, and a second UAV at the second location may fly along the virtual course.

Abstract: Systems and methods for unmanned aerial vehicle (UAV) course profiling are provided. A plurality of images may be captured by a UAV flying along a course at a first location. A profile may be constructed for the course based on the images captured by the UAV. The constructed course profile is transmitted over a communication network to a virtual reality system at a second location. The virtual reality system may generate a virtual environment corresponding to the course based on the constructed course profile, and a second UAV at the second location may fly along the virtual course.

Abstract: Systems and methods for unmanned aerial vehicle (UAV) course profiling are provided. A plurality of images may be captured by a UAV flying along a course at a first location. A profile may be constructed for the course based on the images captured by the UAV. The constructed course profile is transmitted over a communication network to a virtual reality system at a second location. The virtual reality system may generate a virtual environment corresponding to the course based on the constructed course profile, and a second UAV at the second location may fly along the virtual course.

Abstract: Systems and methods for unmanned aerial vehicle (UAV) positional anchors. Signals may be broadcast via a signal interface of an anchor in a defined space which also includes a UAV. The UAV is at one location within the defined space, and the anchor is at another location within the defined space. A virtual environment may be generated that corresponds to the defined space. The virtual environment may include at least one virtual element, and a location of the virtual element within the virtual environment may be based on the location of the anchor within the defined space. A visual indication may be generated when the UAV is detected within a predetermined distance from the location of the anchor. In some embodiments, a visual element may be generated to augment the anchor where a location of the visual element is based on a location of the anchor within the defined space. The visual element may be changed when the UAV is flown to the location of the anchor within the defined space.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable storage media for altering and combining real and simulated audio streams. For example, a system can determine a location of a first unmanned aerial vehicle (UAV). The system can then determine a location of an object and can receive an audio stream associated with the object. The system can then determine a distance between the location of the first UAV and the location of the object. The system can adjust the audio stream volume according to the distance. The system can then send the audio stream to a listener.

Abstract: A flight path management system manages flight paths for an unmanned aerial vehicle (UAV). The flight path management system receives a sequence of controller inputs for the UAV, and stores the sequence of controller inputs in a memory. The flight path management system accesses the memory and selects a selected section of the sequence of controller inputs corresponding to a time period. The flight management system outputs the selected section to a playback device in real time over a length of the time period.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable storage media for altering and combining real and simulated audio streams. For example, a system can determine a location of a first unmanned aerial vehicle (UAV). The system can then determine a location of an object and can receive an audio stream associated with the object. The system can then determine a distance between the location of the first UAV and the location of the object. The system can adjust the audio stream volume according to the distance. The system can then send the audio stream to a listener.

Abstract: Systems and methods for unmanned aerial vehicle (UAV) positional anchors. Signals may be broadcast via a signal interface of an anchor in a defined space which also includes a UAV. The UAV is at one location within the defined space, and the anchor is at another location within the defined space. A virtual environment may be generated that corresponds to the defined space. The virtual environment may include at least one virtual element, and a location of the virtual element within the virtual environment may be based on the location of the anchor within the defined space. A visual indication may be generated when the UAV is detected within a predetermined distance from the location of the anchor. In some embodiments, a visual element may be generated to augment the anchor where a location of the visual element is based on a location of the anchor within the defined space. The visual element may be changed when the UAV is flown to the location of the anchor within the defined space.

Abstract: A steering assist system for an unmanned aerial vehicle (UAV) receives physical space data for a flight area, and creates a virtual world model to represent the flight area by mapping the physical space data with a physics engine. The steering assist system creates a virtual UAV model to represent the UAV in the virtual world model. The steering assist system determines capability parameters for the UAV, and receives flight data for the UAV. The steering assist system determines a predicted trajectory for the virtual UAV model within the virtual world model, based on the capability parameters and flight data for the UAV. The steering assist system determines a navigation suggestion for the UAV based on the predicted trajectory and capability parameters for the UAV, and displays the navigation suggestion.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable storage media for altering and combining real and simulated audio streams. For example, a system can determine a location of a first unmanned aerial vehicle (UAV). The system can then determine a location of an object and can receive an audio stream associated with the object. The system can then determine a distance between the location of the first UAV and the location of the object. The system can adjust the audio stream volume according to the distance. The system can then send the audio stream to a listener.

Abstract: A collision avoidance system for an unmanned aerial vehicle (UAV) receives physical space data for a flight area and creates a virtual world model to represent the flight area by mapping the physical space data with a physics engine. The automatic collision avoidance system creates a virtual UAV model to represent the UAV in the virtual world model. The automatic collision avoidance system receives flight data for the UAV and determines a current position of the virtual UAV model within the virtual world model. The automatic collision avoidance system determines a predicted trajectory of the virtual UAV model within the virtual world model, and determines whether the predicted trajectory will result in a collision of the virtual UAV model with the virtual world model. The automatic collision avoidance system performs evasive actions by the UAV, in response to determining that the predicted trajectory will result in a collision.