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.

An information processing device determines, based on location information of a plurality of delivery destinations for package delivery: one or a plurality of first delivery destinations for package delivery by a vehicle; and one or a plurality of second delivery destinations for package delivery by a drone mounted on the vehicle. In addition, the information processing device determines: a travel route including a route for the vehicle to perform package delivery to the one or plurality of first delivery destinations; a first point on the travel route for the drone to start flying from the vehicle to the one or plurality of second delivery destinations; and a second point on the travel route for the drone to return to the vehicle.

The present invention relates to a mobile security robot equipped with a micro flight device, which uses a camera mounted on the mobile security robot to patrol a predetermined area by the mobile security robot capable of autonomous driving and to patrol an area where the mobile security robot cannot move by the mounted micro flight device. Accordingly, there is an advantage in that it can efficiently patrol a much wider area compared to the patrol using only the mobile security robot.

A housing for a ground vehicle-mountable aerial vehicle is provided. The housing includes a base portion defining a cavity and an opening leading into the cavity. The cavity is structured to receive an unmanned aerial vehicle therein. The cavity is configured so as to open upwardly when the housing is mounted on the vehicle. The housing also includes a drafting wall structured to extend from the base portion at a location forward of at least a portion of the cavity when the housing is mounted on the ground vehicle.

A drone docking structure of an autonomous vehicle can include: a coil housing having a space for docking a drone to the vehicle; a docking cover configured to open or close a top portion of the coil housing according to whether the drone is docked; and a motor housing installed on a side surface of the coil housing and including a motor configured to actuate the docking cover.

Autonomous unmanned vehicles (UVs) for responding to situations are described. Embodiments include UVs that launch upon detection of a situation, operate in the area of the situation, and collect and send information about the situation. The UVs may launch from a vehicle involved in the situation, a vehicle responding to the situation, or from a fixed station. In other embodiments, the UVs also provide communications relays to the situation and may facilitate access to the situation by responders. The UVs further may act as decoupled sensors for vehicles. In still other embodiments, the collected information may be used to recreate the situation as it happened.

Unmanned Aerial Vehicles also known as UAVs or Drones, either autonomous or remotely piloted, are classified as drones by the US Federal Aviation Administration (FAA) as weighing under 212 pounds. The system described herein details Autonomous Flight Vehicles (AFV) which weigh over 212 pounds but less than 1,320 pounds which may require either a new classification or a classification such as Sport Light Aircraft, but without the requirement of a pilot due to the safe autonomous flight system such as the Safe Temporal Vector Integration Engine or STeVIE. Safe Autonomous Light Aircraft (SALA) are useful as drone carriers, large scale air package or cargo transport, and even human transport depending on the total lift capability of the platform.

A drone docking station for a vehicle includes: a transfer device configured to have a cargo loaded on a drone or to vertically move the cargo transferred by the drone; a guide device including a guide panel provided on a roof of the vehicle and connected to an upper end portion of the transfer device to have the drone accommodated on an upper portion of the guide panel, wherein the guide panel is disposed to surround the transfer device and provided to move inward or outward or to be rotated around a center portion of the transfer device; and a control unit electrically connected to the guide device and configured to rotate or move the guide panel so that the drone corresponds to the cargo positioned in the transfer device when the drone is accommodated on the guide panel.

A system for deploying and retrieving an unmanned aerial vehicle (UAV) with a UAV carrier including a UAV bay, where the system includes a UAV pad including a UAV pad base and a UAV pad coupler to couple the UAV to the UAV pad base; a mechanical arm including a first end configured to couple to the UAV carrier, and a second end configured to couple to the UAV pad; and a controller configured to determine a deployment position for the UAV pad, determine a retrieval position for the UAV pad, control the UAV pad, and control the mechanical arm.

A system performs a control method to launch an unmanned aerial vehicle, UAV. The control method includes calculating a selected altitude, relative to a reference level, for launching the UAV, operating a lifting arrangement to vertically elevate the UAV to the selected altitude, and causing the UAV to be launched from the selected altitude. Elevating the UAV may improve the performance of the UAV in terms of range, power consumption, ability to carry payload, transit time to destination, etc. The selected altitude may be calculated as a function of parameter data representing any of the UAV, the lifting arrangement, or surrounding conditions. An apparatus is further provided to determine an optimal location of the system in relation to a plurality of destinations of UAVs to be elevated by the system.