Apparatuses, systems, and methods for tracking and/or controlling unmanned aerial vehicles (UAVs) as well as tracking UAV controllers (UACs) within a cellular network. A UAV/UAC may provide a cellular network with tracking information such as speed, orientation, altitude, C2 communication quality, C2 communication mode change request, measurement report, RRC status, cell ID, TAC ID, current location of the UAV, and destination of the UAV. The network may forward this information to an unmanned aerial system (UAS) traffic management system (UTM). The UTM may determine, based in part on the tracking information, whether to transfer control of the UAV from the UAC to the UTM. In some embodiments, the UAV/UAC may trigger the UTM to transfer control of the UAV form the UAC to the UTM.

The present disclosure discloses a movable box and a method for controlling the same, and a package storage device. The movable box includes a box body, a box door, a security lock and a verification component. The security lock is connected between the box body and the box door, the verification component is disposed on a surface of the box door and is connected to the security lock, and the verification component is configured to acquire verification information, and control the security lock to be unlocked in response to the verification information being preset information, and a first locking member is further disposed in the box body at a bottom thereof, and the first locking member protrudes downward from the bottom of the box body.

Embodiments include engagement management systems and methods for managing engagement with aerial threats. Such systems include radar modules and detect aerial threats within a threat range of a base location. The systems also track intercept vehicles and control flight paths and detonation capabilities of the intercept vehicles. The systems are capable of communication between multiple engagement management systems and coordinated control of multiple intercept vehicles.

A system for providing autonomous driving of a radio controlled vehicle through an ambient environment is disclosed herein. The system can include a modular device with at least one sensor configured to generate signals associated with characteristics of the ambient environment, a bed plate configured to be mechanically coupled to the RC vehicle, and a modular control circuit configured to be mechanically coupled to the bed plate and communicably coupled to the modular device, wherein the modular control circuit is configured to be communicably coupled to hardware of the RC vehicle and control the RC vehicle in response to commands received from the modular device.

An unmanned aerial vehicle (UAV) controller may have control elements configured to receive inputs from a user. A cover may be coupled to the controller. The cover may be movable between a closed position in which the control elements are covered and an open position in which the control elements are exposed. An antenna may be integrated in the cover. The antenna may be electrically connected to circuitry in the controller for communicating with a UAV. In some implementations, a conductive plane and/or an insulating plane may be integrated in the cover. In some implementations, a heatsink, a fan, and/or a support mechanism may be arranged on an under portion of the controller. In some implementations, a circuit board including a cutout may be arranged inside the controller.

System for launch and recovery of a surface vehicle, comprising a floating cradle structure configured to receive the surface vehicle, the cradle structure being bottomless such that contact between a submersed portion of the surface vehicle and the cradle structure is avoided upon receiving the surface vehicle.

An autonomous driving assistance device includes a manual driving control section, an autonomous driving control section, and a travelling condition determining section. If it is detected that there is a malfunction in a first sensor during control of the autonomous driving of the vehicle, the autonomous driving control section executes emergency autonomous driving until a predetermined condition is satisfied while changing, based on the determined travelling condition, a driving manner of an emergency autonomous driving as compared with a driving manner of the autonomous driving executed before no malfunctions are detected in the first sensor; and after the emergency autonomous driving is terminated, the autonomous driving assistance device being configured to selectively execute one of: causing the autonomous driving control section to stop the vehicle; and causing the manual driving control section to control the manual driving.

Disclosed is a configuration to control automatic return of an aerial vehicle. The configuration stores a return location in a storage device of the aerial vehicle. The return location may correspond to a location where the aerial vehicle is to return. One or more sensors of the aerial vehicle are monitored during flight for detection of a predefined condition. When a predetermined condition is met a return path program may be loaded for execution to provide a return flight path for the aerial vehicle to automatically navigate to the return location.

Methods, systems and apparatus, including computer programs encoded on computer storage media for unmanned aerial vehicle beyond visual line of sight (BVLOS) flight operations. In an embodiment, a flight planning system of an unmanned aerial vehicle (UAV) can identify handoff zones along a UAV flight corridor for transferring control of the UAV between ground control stations. The start of the handoff zones can be determined prior to a flight or while the UAV is in flight. For handoff zones determined prior to flight, the flight planning system can identify suitable locations to place a ground control station (GCS). The handoff zone can be based on a threshold visual line of sight range between a controlling GCS and the UAV. For determining handoff zones while in flight, the UAV can monitor RF signals from each GCS participating in the handoff to determine the start of a handoff period.

Various technologies described herein pertain to routing an autonomous vehicle based upon risk of takeover of the autonomous vehicle by a human operator. A computing system receives an origin location and a destination location of the autonomous vehicle. The computing system identifies a route for the autonomous vehicle to follow from the origin location to the destination location based upon output of a computer-implemented model. The computer-implemented model is generated based upon labeled data indicative of instances in which autonomous vehicles are observed to transition from operating autonomously to operating based upon conduction by human operators while the autonomous vehicles are executing predefined maneuvers. The computer-implemented model takes, as input, an indication of a maneuver in the predefined maneuvers that is performed by the autonomous vehicle when the autonomous vehicle follows a candidate route. The autonomous vehicle then follows the route from the origin location to the destination location.