Abstract:
A vertical take-off and landing (VTOL) aircraft according to an aspect of the present invention comprises a fuselage, an empennage having an all-moving horizontal stabilizer located at a tail end of the fuselage, a wing having the fuselage positioned approximately halfway between the distal ends of the wing, wherein the wing is configured to transform between a substantially straight wing configuration and a canted wing configuration using a canted hinge located on each side of the fuselage. The VTOL aircraft may further includes one or more retractable pogo supports, wherein a retractable pogo support is configured to deploy from each of the wing's distal ends.
Abstract:
An aircraft for unmanned aviation is described. The aircraft includes an airframe, a pair of fins attached to a rear portion of the airframe, a pair of dihedral braces attached to a bottom portion of the airframe, a first thrust-vectoring (“T/V”) module and a second T/V module, and an electronics module. The electronics module provides commands to the two T/V modules. The two T/V modules are configured to provide lateral and longitudinal control to the aircraft by directly controlling a thrust vector for each of the pitch, the roll, and the yaw of the aircraft. The use of directly articulated electrical motors as T/V modules enables the aircraft to execute tight-radius turns over a wide range of airspeeds.
Abstract:
A method includes receiving a first image that is captured at a first time. The method also includes detecting a location of a first object in the first image. The method also includes determining a region of interest based at least partially upon the location of the first object in the first image. The method also includes receiving a second image that is captured at a second time. The method also includes identifying the region of interest in the second image. The method also includes detecting a location of a second object in a portion of the second image that is outside of the region of interest.
Abstract:
Technology segments an input flight path into segments based on terrain data, identifies target altitude heights of endpoints of the segments based on the terrain data and a target cruise altitude of an aircraft, identifies local maximas associated with the segments that are arranged in an order along the input flight path, identifies one or more local maximas of the local maximas that represent a dip in altitude from a previous one or more of the local maximas, removes the one or more local maximas from the plurality of local maximas to generate a reduced list of local maximas, sets a plurality of waypoints as the endpoints and the local maximas in the reduced list of local maximas, generates a flight path based at least in part on the plurality of waypoints, and causes the flight path to be provided to the at aircraft.
Abstract:
A method is provided for detecting and avoiding conflict along a current route of a robot. The method includes accessing a trajectory of the robot on the current route of the robot, and a predicted trajectory of a nearby moving object, and from the trajectory and predicted trajectory, detecting a conflict between the robot and the nearby moving object. Alternate routes for the robot are determined, each of which includes an alternative route segment offset from the current route, and a transition segment from the current route to the alternative route segment. Routes including the current and alternative routes are evaluated according to a cost metric, and a route from the routes is selected for use in at least one of guidance, navigation or control of the robot to avoid the conflict.
Abstract:
A method, apparatus, system, and computer program product for operating air vehicles. Missions for the air vehicles are grouped into categories based on durations of the missions. The missions within the categories are clustered into subsets of the missions that can be concurrently performed to meet a set of mission performance criteria. The subsets of the missions are assigned to a set of air vehicle supervisors.
Abstract:
The present disclosure relates to propulsion system for an aircraft. The propulsion system comprises a motor, a battery bank, a thermal management system, and a controller. The motor being configured to rotate a rotor via a rotor shaft and to drive the thermal management system. The thermal management system configured to urge fluid through a fluid pathway defined by the battery bank. The controller configured to drive the motor and/or control charge and discharge of the battery bank.
Abstract:
Presented are passive temperature control systems for thermal management of electrical components, methods for making/using such thermal management systems, and aircraft equipped with smart-material activated temperature control systems for passive cooling of battery modules. A thermal management system is presented for passively cooling an electrical component stored inside a module housing. The thermal management system includes a cooling chamber that movably attaches adjacent a module housing that contains an electrical component, such as a rechargeable battery module. The cooling chamber contains a sublimable cooling agent, such as dry ice. A biasing member biases the cooling chamber away from the module housing. A smart material actuator is attached to and interposed between the cooling chamber and module housing. The smart material actuator extracts thermal energy from the module housing and, once heated to a phase transformation temperature, contracts and thereby pulls the cooling chamber into contact with the module housing.
Abstract:
Examples include an apparatus for delivering a payload. The apparatus includes a first autonomous vehicle and a second autonomous vehicle that are configured to be coupled to an aircraft. The first autonomous vehicle includes a wing and a first propulsion system configured to deliver the second autonomous vehicle to a first destination. The second autonomous vehicle includes a payload and a second propulsion system configured to deliver the payload to a second destination.
Abstract:
A method includes receiving a first image that is captured at a first time. The method also includes detecting a location of a first object in the first image. The method also includes determining a region of interest based at least partially upon the location of the first object in the first image. The method also includes receiving a second image that is captured at a second time. The method also includes identifying the region of interest in the second image. The method also includes detecting a location of a second object in a portion of the second image that is outside of the region of interest.