Abstract: Multi-sensor autonomous control of unmanned aerial vehicles systems and methods are disclosed herein. In one embodiment, a variable autonomy control system for an unmanned aerial vehicle include a variable autonomy processing unit. The variable autonomy processing unit illustratively receives inputs from multiple sensors. It utilizes the inputs to generate commands to control the unmanned aerial vehicle at variable autonomy levels.

Abstract: Unmanned aerial vehicle take-off and landing systems are disclosed herein. In one embodiment, a method of landing an unmanned aerial vehicle includes programming a landing location for the unmanned aerial vehicle utilizing a user input device. The unmanned aerial vehicle is launched. Communications between the unmanned aerial vehicle and the user input device are interrupted, and the unmanned aerial vehicle is landed at the landing location based on the programmed landing location and not based on any real-time communication between the unmanned aerial vehicle and the user input device.

Abstract: Unmanned aerial vehicle control systems are disclosed herein. In one embodiment, a method of controlling an unmanned aerial vehicle includes transmitting an indication of a take-off or landing location to the unmanned aerial vehicle. The unmanned aerial vehicle is launched. A control mode of the unmanned aerial vehicle is switched from an autonomous mode to a manual mode. The control mode of the unmanned aerial vehicle is switched from the manual mode to another autonomous mode, and the unmanned aerial vehicle is landed at the landing location.

Abstract: Autonomous collision avoidance systems for unmanned aerial vehicles are disclosed. Systems illustratively include a detect and track module, an inertial navigation system, and an auto avoidance module. The detect and track module senses a potential object of collision and generates a moving object track for the potential object of collision. The inertial navigation system provides information indicative of a position and a velocity of the unmanned aerial vehicle. The auto avoidance module receives the moving object track for the potential object of collision and the information indicative of the position and the velocity of the unmanned aerial vehicle. The auto avoidance module utilizes the information to generate a guidance maneuver that facilitates the unmanned aerial vehicle avoiding the potential object of collision.

Abstract: An unmanned aerial vehicle variable autonomy control system is disclosed. In one embodiment, the system includes a control mode interface that provides a plurality of selectable control modes for an unmanned aerial vehicle, wherein one of the plurality of selectable control modes comprises an autonomous landing mode. Also included is a route editing interface that, following a selection of the autonomous landing mode, facilitates a receipt of an input indicative of a landing location. The system also includes a communications component that transmits a command to the unmanned aerial vehicle, wherein the command is based at least in part on the input indicative of the landing location.

Abstract: An unmanned aerial vehicle variable autonomy control system is disclosed herein. In one embodiment, the system includes a control mode interface that provides a plurality of selectable control modes for an unmanned aerial vehicle, wherein one of the plurality of selectable control modes comprises a target tracking mode. Also included is a target editor interface provided in response to a selection of the target tracking mode, wherein the target editor interface facilitates receipt of an input indicative of a ground based moving target. The system also includes a communications component that transmits a command to the unmanned aerial vehicle, wherein the command is based at least in part on the input indicative of a target.

Abstract: A method and apparatus for at least semi-autonomously controlling a vehicle so as to avoid collisions are provided. A sensor is utilized to scan an area proximate the vehicle for a potential object of collision. The apparatus calculates navigational states of the potential object of collision relative to the vehicle to determine that the vehicle is on a course to enter within a predetermined miss distance relative to the potential object of collision. The apparatus alters the course of the vehicle based on the calculated navigational states.

Abstract: A method and apparatus for at least semi-autonomously controlling a vehicle so as to avoid collisions are provided. A sensor is utilized to scan an area proximate the vehicle for a potential object of collision. The apparatus calculates navigational states of the potential object of collision relative to the vehicle to determine that the vehicle is on a course to enter within a predetermined miss distance relative to the potential object of collision. The apparatus alters the course of the vehicle based on the calculated navigational states.

Abstract: A vehicle control system and related sub-components together provide an operator with a plurality of specific modes of operation. The various modes of operation incorporate different levels of autonomous control. Through a control user interface, an operator can move between certain modes of control even after vehicle deployment. Specialized autopilot system components and methods are employed to ensure smooth transitions between control modes. Empowered by the multi-modal control system, an operator can manage multiple vehicles simultaneously.

Abstract: Embodiments are disclosed for a vehicle control system and related sub-components that together provide an operator with a plurality of specific modes of operation, wherein various modes of operation incorporate different levels of autonomous control. Through a control user interface, an operator can move between certain modes of control even after vehicle deployment. Specialized autopilot system components and methods are employed to ensure smooth transitions between control modes. Empowered by the multi-modal control system, an operator can even manage multiple vehicles simultaneously.

Abstract: Embodiments are disclosed for a vehicle control system and related sub-components that together provide an operator with a plurality of specific modes of operation, wherein various modes of operation incorporate different levels of autonomous control. Through a control user interface, an operator can move between certain modes of control even after vehicle deployment. Specialized autopilot system components and methods are employed to ensure smooth transitions between control modes. Empowered by the multi-modal control system, an operator can even manage multiple vehicles simultaneously.

Abstract: Embodiments are disclosed for a vehicle control system and related sub-components that together provide an operator with a plurality of specific modes of operation, wherein various modes of operation incorporate different levels of autonomous control. Through a control user interface, an operator can move between certain modes of control even after vehicle deployment. Specialized autopilot system components and methods are employed to ensure smooth transitions between control modes. Empowered by the multi-modal control system, an operator can even manage multiple vehicles simultaneously.