Provided is a channel monitoring method, an electronic device, and a storage medium. The method includes: obtaining scan data collected by a vehicle body collection component of an automated guided vehicle (AGV) in an area around a vehicle body; obtaining video data collected by a camera in a video collection area, where the camera is one of a plurality of cameras and is used to collect video of at least a partial area of the channel to be monitored of the plurality of channels to be monitored; in a case of determining an existence of a target object based on the scan data collected by the vehicle body collection component and/or the video data collected by the camera, obtaining a target channel where the target object is located; and generating target warning information for the target channel where the target object is located.

The present disclosure is directed to a method for controlling rotors of a rotorcraft system comprising the steps of: receiving air velocity data, first and second rotors rotational angular velocity data, external air temperature data and rotorcraft altitude data by the control module; calculating air velocity over the plurality of blades based on the received data using the control module; calculating, based on the calculated air velocity, if one or more retreating blades of one of the first and second counterrotating rotors are generating insufficient lift; and sending one or more actuation signals from the control module to the electric motor and/or actuators of the other of the first and second counterrotating rotors to maintain a predetermined amount of lift.

A vehicle management system includes a missile avoidance system that generates command for controlling at least one function of a vehicle. The missile avoidance system includes a maneuver control unit and a missile avoidance management unit. The maneuver control unit includes at least two control models. Each of the at least two control models generates the command for controlling the at least one function of the vehicle, and each of the at least two control models can be selectively put in an active state or an inactive state. The missile avoidance management unit selects one of the at least two control models and putts it in the active state. The maneuver control unit outputs the command for controlling the at least one function of the vehicle provided by the control model that is in the active state.

An unmanned aerial vehicle (UAV) or drone executes a neural network to assist with detecting and responding to attacks. The neural network may monitor, in real time, the data stream from a plurality of onboard sensors during navigation and may communicate with a high-altitude pseudosatellite (HAPS) platform For example, if the neural network detects a cyber-attack but determines that it does not interfere with external communications, it may shift navigation control of the drone to the HAPS.

A method for deploying a plurality of emergency signaling drones from a base vehicle includes detecting an emergency condition of the base vehicle; deploying the plurality of emergency signaling drones from the base vehicle based on the detected emergency condition; maneuvering the plurality of emergency signaling drones from the base vehicle to a respective plurality of signaling locations; and activating a plurality of emergency signaling assemblies on the plurality of emergency signaling drones to display an emergency signal at the respective plurality of signaling locations.

A HAPS platform may execute a neural network (a HAPSNN) as it monitors air traffic; the neural network enables it to classify, predict, and resolve events in its airspace of coverage in real time as well as learn from new events that have never before been seen or detected. The HAPSNN-equipped HAPS platform may provide surveillance of nearly 100% of air traffic in its airspace of coverage, and the HAPSNN may process data received from a drone to facilitate safe and efficient drone operation within an airspace.

In a boat including a hull, when the hull is moved laterally based on an output from the outboard motor, the hull rolls, which may cause discomfort to a user or passengers. To compensate for this, a lateral movement control method for the boat including the hull and the outboard motor includes generating a propulsion force to laterally move the hull with the output of the outboard motor, and executing a roll reduction process to reduce a roll angle of the hull at a time of laterally moving the hull.

A vehicle management system includes a missile avoidance system that generates command for controlling at least one function of a vehicle. The missile avoidance system includes a maneuver control unit and a missile avoidance management unit. The maneuver control unit includes at least two control models. Each of the at least two control models generates the command for controlling the at least one function of the vehicle, and each of the at least two control models can be selectively put in an active state or an inactive state. The missile avoidance management unit selects one of the at least two control models and putts it in the active state. The maneuver control unit outputs the command for controlling the at least one function of the vehicle provided by the control model that is in the active state.

Aspects of the subject disclosure may include, for example, a device having a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including: receiving a path of a threat vehicle; calculating a closest approach distance based on a current position of a drone and the path of the threat vehicle; determining that the closest approach distance is within a threshold; and sending a command to the drone to descend to a safe altitude. Other embodiments are disclosed.

System, methods, and other embodiments described herein relate to implementing cooperative management strategies. In one embodiment, a method includes determining a severity score and a risk area. The method may then determine whether vehicles should belong to a first vehicle set, which may perform a cooperative vehicle response action, or a second vehicle set, in which individual response actions may be performed. The method may then generate a cooperative response action or an individual response action corresponding to the cooperative or individual vehicle sets, provided such vehicle sets are not empty.