Abstract: A wireless power initiated test system can use an aircraft controller to automatically initiate a test sequence to determine status of systems of the aircraft, based on the detection of receipt of the wireless power at the aircraft. The detection of receipt of the wireless power at the aircraft can be based on the detection at a voltage regulator of the aircraft which is receiving the wireless power from a wireless power receiver of the aircraft. The system may also power the aircraft controller during the test sequence using the wireless power received. Such a system may quickly and efficiently initiate, power and perform a pre-flight test sequence to determine statuses of systems of the aircraft, such as during a competition or race of the aircraft. The system may apply to drones, as well as of other types of aircraft.

Abstract: Techniques are described for tracking and determining a three dimensional path travelled by controlled unmanned aircraft (i.e. drones) or other moving objects. By monitoring the strength of communication signals transmitted by an object, the strength of control signals received by the object, and altitude data generated by the object, its three dimensional path is determined. For example, these techniques can be applied to racing drones to determine their positions on a course. An end gate structure for such a course that can automatically transmit disable signals to the drones upon completing the course is also described.

Abstract: An airframe health monitoring system uses a controller to automatically determine a status of the airframe of an aircraft in real time, at power up and periodically during flight of the aircraft, based on the output of pressure sensors such as ribbon sensors and flex sensors mounted on the airframe arms and body. The controller can determine in real time whether the airframe has a fault or is damaged based on continuity measured in ribbon sensors located along the outside surfaces of the airframe. The controller can also determine a metric on the status of the airframe in real time based on arm impulses measured in flex sensors located along inside surfaces of arms of the airframe. This will lead to less expensive, more accurate, faster, automated detection of airframe faults, airframe damage and/or metrics on the health of the airframe.

Abstract: A wireless power initiated test system can use an aircraft controller to automatically initiate a test sequence to determine status of systems of the aircraft, based on the detection of receipt of the wireless power at the aircraft. The detection of receipt of the wireless power at the aircraft can be based on the detection at a voltage regulator of the aircraft which is receiving the wireless power from a wireless power receiver of the aircraft. The system may also power the aircraft controller during the test sequence using the wireless power received. Such a system may quickly and efficiently initiate, power and perform a pre-flight test sequence to determine statuses of systems of the aircraft, such as during a competition or race of the aircraft. The system may apply to drones, as well as of other types of aircraft.

Abstract: An airframe health monitoring system uses a controller to automatically determine a status of the airframe of an aircraft in real time, at power up and periodically during flight of the aircraft, based on the output of pressure sensors such as ribbon sensors and flex sensors mounted on the airframe arms and body. The controller can determine in real time whether the airframe has a fault or is damaged based on continuity measured in ribbon sensors located along the outside surfaces of the airframe. The controller can also determine a metric on the status of the airframe in real time based on arm impulses measured in flex sensors located along inside surfaces of arms of the airframe. This will lead to less expensive, more accurate, faster, automated detection of airframe faults, airframe damage and/or metrics on the health of the airframe.

Abstract: Techniques are described for tracking and determining a three dimensional path traveled by controlled unmanned aircraft (i.e. drones) or other moving objects. By monitoring the strength of communication signals transmitted by an object, the strength of control signals received by the object, and altitude data generated by the object, its three dimensional path is determined. For example, these techniques can be applied to racing drones to determine their positions on a course. An end gate structure for such a course that can automatically transmit disable signals to the drones upon completing the course is also described.

Abstract: Techniques are described for tracking and determining a three dimensional path travelled by controlled unmanned aircraft (i.e. drones) or other moving objects. By monitoring the strength of communication signals transmitted by an object, the strength of control signals received by the object, and altitude data generated by the object, its three dimensional path is determined. For example, these techniques can be applied to racing drones to determine their positions on a course. An end gate structure for such a course that can automatically transmit disable signals to the drones upon completing the course is also described.