Methods and systems for automatically deploying an autonomous drone from a vehicle in response to a triggering event or accident so that data associated with the triggering event or accident may be automatically obtained are described. In one embodiment, a method for deploying an autonomous drone in response to a triggering event is described. The method includes providing an autonomous drone in a vehicle. The method also includes detecting a triggering event associated with the vehicle. Upon detection of the triggering event, the method includes automatically deploying the autonomous drone from the vehicle. The method further includes implementing, by the autonomous drone, a plurality of automatic actions, including recording data associated with the vehicle in which the autonomous drone is provided.

A system for automated flight correction is an electric aircraft that includes an input control configured to receive a user input and generate a control datum as a function of the user input, at least a sensor connected to the electric aircraft that is configured to detect a status datum and transmit the status datum to a flight controller, a flight controller communicatively connected to the input control and the at least a sensor configured to receive the control datum from the input control, receive the status datum from the flight controller and determine a command datum as a function of the control datum and status datum, and an actuator connected to the flight controller configured to receive the command datum from the flight controller and command at least a flight component as a function of the command datum.

A method for synchronizing virtual and real statuses of a digital twin system of an unmanned aerial vehicle (UAV) includes: performing parameter configuration for a virtual object system and a physical object system of the UAV; performing time synchronization between the virtual object system and the physical object system; detecting an event trigger type, wherein the event trigger type is a training event or a monitoring event; and triggering a corresponding synchronization controller based on the detected event trigger type, such that the synchronization controller performs result synchronization and process synchronization for the virtual object system and the physical object system based on the event trigger type, where a synchronization controller corresponding to the training event is a controller for synchronizing a physical object to a virtual object, and a synchronization controller corresponding to the monitoring event is a controller for synchronizing the virtual object to the physical object.

A system comprising an aerial vehicle or an unmanned aerial vehicle (UAV) configured to control pitch, roll, and/or yaw via airfoils having resiliently mounted trailing edges opposed by fuselage-house deflecting actuator horns. Embodiments include one or more rudder elements which may be rotatably attached and actuated by an effector member disposed within the fuselage housing and extendible in part to engage the one or more rudder elements.

Systems and methods are provided for adapting automotive mmW radar technology to meet the requirements of autonomous unmanned aerial vehicle (UAV) systems. Embodiments of the present disclosure provide solutions for several design challenges from this adaptation, such as utilizing a limited number of antenna channels to scan in both azimuth and elevation.

An aircraft includes a short-range radar that is configured to detect a trajectory, which is specified based on a position detection of the aircraft by a ground station.

Techniques and systems are described for generating and using a sound localization model. A described technique includes obtaining for a building a sound sensor map indicating locations of first and second sound sensor devices in respective first and second rooms of the building; causing an autonomous device to navigate to the first room and to emit, during a time window, sound patterns at one or more frequencies within the first room; receiving sound data including first and second sound data respectively from the first and second sound sensor devices that are observed during the time window; and generating and storing a sound localization model based on the sound sensor map, autonomous device location information, and the received sound data, the model being configured to compensate for how sounds travels among rooms in at least a portion of the building such that an origin room of a sound source is identifiable.

A kite system having a kite (14) and a hauling rope (15) which extends between the kite (14) and a tow point (16). A marking holder (25) is disposed between the tow point (16) and the kite (14). The marking holder (25) is conceived for changing between an entrained state in relation to the hauling rope (15), and a free-running state in relation to the hauling rope (15). A fitting installation (31) initiates a changeover between the entrained state and the free-running state of the marking holder (25). The invention moreover relates to a method for operating a kite system.

An apparatus includes a visual display to be viewed by a vehicle occupant. At least one drone includes a camera. A controller is configured to receive images from the camera on the at least one drone and generate an overhead view of the vehicle based on the images received from the at least one drone and display the overhead view on the visual display.

Various embodiments provide systems and/or methods for automated maintenance, delivery, retrieval, and/or communications using drones.