Abstract: Systems and methods for airspace management. One embodiment of an aerial vehicle, includes a first sensor for detecting a lateral field of view of the aerial vehicle and a vehicle computing device. The vehicle computing device may include a memory component and a processor. The memory component may store logic that, when executed by the processor, causes the aerial vehicle to calculate a detection boundary for the aerial vehicle to maintain a well clear requirement, wherein the detection boundary is based on instantaneous trajectory, planned future trajectory, and a capability of the aerial vehicle and utilize the capability of the aerial vehicle and data from the first sensor to maintain the vehicle within detection boundary. In some embodiments the logic may cause the vehicle to provide an instruction to maintain the aerial vehicle within the detection boundary.

Abstract: Disclosed herein are embodiments for providing contingency automation to emergency response. One embodiment of a method includes determining a route for a vehicle to a primary destination, and determining a first upcoming area along the route that has been previously identified as an emergency response zone, where the emergency response zone may be used as a secondary destination in a contingency route for the vehicle in an emergency. In some embodiments, the method may include reserving airspace for the contingency route, determining that the emergency response zone is no longer useful, based on an updated position of the vehicle, and canceling the contingency route from reservation.

Abstract: Systems and methods for airspace management. One embodiment of an aerial vehicle, includes a first sensor for detecting a lateral field of view of the aerial vehicle and a vehicle computing device. The vehicle computing device may include a memory component and a processor. The memory component may store logic that, when executed by the processor, causes the aerial vehicle to calculate a detection boundary for the aerial vehicle to maintain a well clear requirement, wherein the detection boundary is based on instantaneous trajectory, planned future trajectory, and a capability of the aerial vehicle and utilize the capability of the aerial vehicle and data from the first sensor to maintain the vehicle within detection boundary. In some embodiments the logic may cause the vehicle to provide an instruction to maintain the aerial vehicle within the detection boundary.

Abstract: Disclosed herein are embodiments for providing contingency automation to emergency response. One embodiment of a method includes determining a route for a vehicle to a primary destination, and determining a first upcoming area along the route that has been previously identified as an emergency response zone, where the emergency response zone may be used as a secondary destination in a contingency route for the vehicle in an emergency. In some embodiments, the method may include reserving airspace for the contingency route, determining that the emergency response zone is no longer useful, based on an updated position of the vehicle, and canceling the contingency route from reservation.

Abstract: A method of determining a flight plan for an unmanned aerial vehicle comprises, with a computing device, receiving a set of parameters associated with a proposed flight operation related to the unmanned aerial vehicle, identifying one or more data sources that contain data associated with one or more of the parameters, retrieving data associated with one or more of the parameters from one or more of the identified data sources, determining a level of risk associated with the proposed flight operation based on the retrieved data, and determining the flight plan based on the level of risk.