Abstract:
This disclosure generally relates to an automotive drone deployment system that includes at least a vehicle and a deployable drone that is configured to attach and detach from the vehicle. More specifically, the disclosure describes the vehicle and drone remaining in communication with each other to exchange information while the vehicle is being operated in an autonomous driving mode so that the vehicle's performance under the autonomous driving mode is enhanced.
Abstract:
An unmanned aerial vehicle (UAV), a stand for launching, landing, testing, refueling and recharging a UAV, and methods for testing, landing and launching the UAV are disclosed. Further, embodiments may include transferring a payload onto or off of the UAV, and loading flight planning and diagnostic maintenance information to the UAV.
Abstract:
Aspects relate to methods, systems, and devices for monitoring unmanned vehicles. Methods include receiving, by a processor, a captured image of an observed unmanned vehicle, the captured image including measured data, comparing the measured data with an unmanned vehicle database, determining a status of the observed unmanned vehicle, and generating an indicator regarding the status of the observed unmanned vehicle.
Abstract:
An aerial surveillance and reconnaissance system includes a gimbal-stabilized ISR imaging sensor with 0.8-1.2 microradian optical resolution, using pulsed ultraviolet laser (0.330-0.380 micrometer wavelength) radiation to illuminate the observed target, and a narrow-band-pass filter at the focal plane detector to remove light at frequencies other than the illuminating frequency. Preferred sensors can be operated in a snapshot mode using intermittent illuminating pulses, with timing of the pulses selected for minimum detectability based on observations made with a lower-resolution sensor, or in a video-mode with illuminating pulses selected to generate full-motion video at operator-selectable frame rates. Some sensor embodiments may further combine the UV system described above with conventional daylight optical and sensor systems, though alternative arrangements could also include an IR sensor as well (either using a common aperture with the UV system or with a separate set of light-gathering optics).
Abstract:
A MEUV that is able to navigate aerial, aquatic, and terrestrial environments through the use of different mission mobility attachments is disclosed. The attachments allow the MEUV to be deployed from the air or through the water prior to any terrestrial navigation. The mobility attachments can be removed or detached by and from the vehicle during a mission.
Abstract:
A method may include receiving, using at least one processor, location information that includes a location of an unmanned aerial vehicle (UAV); querying, using the at least one processor, a policy database to retrieve a notification condition for a first property with respect to UAVs; calculating, using the at least one processor, a distance between the UAV and the first property using the received location information determining, using the at least one processor, if the distance of the UAV with respect to the first property is within a range defined in the notification condition for the first property; and transmitting, using the at least one processor, a notification to a party associated with the first property when the distance of the UAV with respect to the first property is within the range defined in the notification condition for the first property.
Abstract:
An aerial vehicle and system for automatically detecting an object (e.g., human, pet, or other animal) approaching the aerial vehicle is described. When an approaching object is detected by an object detection component, a safety profile may be executed to reduce or avoid any potential harm to the object and/or the aerial vehicle. For example, if the object is detected entering a safety perimeter of the aerial vehicle, the rotation of a propeller closest to the object may be stopped to avoid harming the object and rotations of remaining propellers may be modified to maintain control and flight of the aerial vehicle.
Abstract:
In one embodiment, a controller instructs an unmanned aerial vehicle (UAV) docked to a landing perch to perform a pre-flight test operation of a pre-flight test routine. The controller receives sensor data associated with the pre-flight test operation from one or more force sensors of the landing perch, in response to the UAV performing the pre-flight test operation. The controller determines whether the sensor data associated with the pre-flight test operation is within an acceptable range. The controller causes the UAV to launch from the landing perch based in part on a determination that UAV has passed the pre-flight test routine.
Abstract:
An unmanned aerial vehicle apparatus comprises a frame. Further, the unmanned aerial vehicle apparatus comprises a propulsion mechanism coupled to the frame that propels the frame through the air. In addition, the unmanned aerial vehicle apparatus comprises a storage device that stores one or more airbags and is coupled to the frame. The unmanned aerial vehicle apparatus also comprises an inflation device coupled to the frame that receives an activation signal and inflates the one or more airbags based upon receipt of the activation signal to deploy the one or more airbags from the storage device prior to an impact of the frame with an object.
Abstract:
The invention is directed toward a system and method for placing, activating, and testing sensors. The system comprises one or more server computers, one or more communication hubs, one or more unmanned aerial vehicles, and one or more sensors. The method comprises the steps of receiving geographic sensor placement locations, receiving sensor parameters, determining the geographic location of sensors, respectively sending location query signals to the unmanned aerial vehicles, respectively receiving location reply signals from the unmanned aerial vehicles, and calculating a geographic flight path for the unmanned aerial vehicles. The method also comprises calculating mission objectives and the energy needs of the unmanned aerial vehicles to complete the mission objectives. The method then determines the most efficient combination of unmanned aerial vehicles to complete the mission objectives and assigns the tasks to the unmanned aerial vehicles. The unmanned aerial vehicles place, activate, and test the sensors.