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.
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:
The present disclosure relates to a method (200) for estimating information related to a vehicle pitch and/or roll angle. The method comprises a step of obtaining (220) a first estimate of the information related to the pitch and/or roll angle. The method is characterized by the steps of capturing (210) an image of an area covering at least a part of the horizon using a camera mounted on the airborne vehicle, and determining (240) an improved estimate of the information related to the pitch and/or roll angle based on the first estimate of the information related to the pitch and/or roll angle, and a digital elevation model.
Abstract:
The adaptive control method for an unmanned vehicle with a slung load utilizes a feedback linearization controller (FLC) to perform vertical take off, hovering and landing of an unmanned aerial vehicle with a slung load, such as a quadrotor drone or the like. The controller includes a double loop architecture, where the overall controller includes an inner loop having an inner controller which is responsible for controlling the attitude angles and the altitude, and an outer loop having an outer controller responsible for providing the inner loop inner controller with the desired angle values. States, such as including roll, pitch, yaw and/or altitude, are selected as outputs and the feedback linearization technique is used.
Abstract:
A micro unmanned aerial vehicle or drone (“UAV”) 10 is remotely controlled through an HMI, although this remote control is supplemented by and selectively suppressed by an on-board controller. The controller operates to control the generation of a sonar bubble that generally encapsulates the UAV. The sonar bubble, which may be ultrasonic in nature, is produced by a multiplicity of sonar lobes generated by specific sonar emitters associated with each axis of movement for the UAV. The emitters produce individual and beamformed sonar lobes that partially overlap to provide stereo or bioptic data in the form of individual echo responses detected by axis-specific sonar detectors. In this way, the on-board controller is able to interpret and then generate 3-D spatial imaging of the physical environment in which the UAV is currently moving or positioned. The controller is therefore able to plot relative and absolute movement of the UAV through the 3-D space by recording measurements from on-board gyroscopes, magnetometers and accelerometers. Data from the sonar bubble can therefore both proactively prevent collisions with objects by imposing a corrective instruction to rotors and other flight control system and can also assess and compensate for sensor drift.
Abstract:
An airship may include a hull substantially shaped as an oblate spheroid, one or more frame members defining a support structure, wherein the support structure forms at least a partial support for the hull, at least one horizontal stabilizing member operably coupled to a lower surface of the airship, and at least one horizontal stabilizing member having a first end and a second end. The at least one horizontal stabilizing member may define an anhedral configuration. The airship may also include a vertical stabilizing member having a first end pivotally coupled to the airship and a second end oriented to remain below an upper surface of the airship. The vertical stabilizing member may be configured to pivot within a vertical plane, and the first end of the vertical stabilizing member and the first end of the at least one horizontal stabilizing member may be operably coupled to one another.
Abstract:
An airship may include a hull substantially shaped as an oblate spheroid, one or more frame members defining a support structure, wherein the support structure forms at least a partial support for the hull, at least one horizontal stabilizing member operably coupled to a lower surface of the airship, and at least one horizontal stabilizing member having a first end and a second end. The at least one horizontal stabilizing member may define an anhedral configuration. The airship may also include a vertical stabilizing member having a first end pivotally coupled to the airship and a second end oriented to remain below an upper surface of the airship. The vertical stabilizing member may be configured to pivot within a vertical plane, and the first end of the vertical stabilizing member and the first end of the at least one horizontal stabilizing member may be operably coupled to one another.