Systems and methods for UAV safety are provided. An authentication system may be used to confirm UAV and/or user identity and provide secured communications between users and UAVs. The UAVs may operate in accordance with a set of flight regulations. The set of flight regulations may be associated with a geo-fencing device in the vicinity of the UAV.

A lawn mower 10 of the present embodiment travels on a lawn and cuts grass. The lawn mower 10 includes a drive source 12 and a controller 21. The drive source 12 generates power for the lawn mower 10 to travel. The controller 21 receives height at each position of the lawn from a sensor that detects the height at each position of the lawn or from a memory (a storage of the controller 21, a laptop PC 40, or a server) that stores the height at each position of the lawn and controls the drive source 12 based on a height change in the lawn in front in a travel direction to change a travel speed.

A lawn mower 10 of the present embodiment travels on a lawn and cuts grass. The lawn mower 10 includes a drive source 12 and a controller 21. The drive source 12 generates power for the lawn mower 10 to travel. The controller 21 receives height at each position of the lawn from a sensor that detects the height at each position of the lawn or from a memory (a storage of the controller 21, a laptop PC 40, or a server) that stores the height at each position of the lawn and controls the drive source 12 based on a height change in the lawn in front in a travel direction to change a travel speed.

A technique for user interaction with an autonomous unmanned aerial vehicle (UAV) is described. In an example embodiment, perception inputs from one or more sensor devices are processed to build a shared virtual environment that is representative of a physical environment. The sensor devices used to generate perception inputs can include image capture devices onboard an autonomous aerial vehicle that is in flight through the physical environment. The shared virtual environment can provide a continually updated representation of the physical environment which is accessible to multiple network-connected devices, including multiple UAVs and multiple mobile computing devices. The shared virtual environment can be used, for example, to display visual augmentations at network-connected user devices and guide autonomous navigation by the UAV.

A drone system that includes a drone and a movable body which is movable with loading the drone and where the drone can take off and land, cooperate to operate and that is able to maintain a high level of safety even during autonomous flight, is provided. The drone has a flight controller controlling a flight of the drone, and a drone transmitter transmitting an information possible to distinguish whether the drone is in flight. The movable body has a take-off and landing area where the drone is loaded, takes off and lands, a movement controller loading the drone on the take-off and landing area and moving the movable body with the drone, a movable body receiver receiving an information from the drone, and a display unit.

An unmanned vehicle management system according to an aspect includes: a collection unit configured to collect video data acquired by an unmanned vehicle and natural disaster data related to natural disasters from information sources; a storage unit configured to store the video data and the natural disaster data; an analysis unit configured to extract feature amounts of the video data and the natural disaster data, and predict a high-risk area where a risk of natural disaster occurrence is higher than in other areas; a prediction unit configured to compare the video data and the natural disaster data collected during a disaster with the video data and the natural disaster data collected during normal times, and predict a disaster occurrence area where a disaster will occur; and a deployment unit configured to determine deployment of the unmanned vehicle and a rescuer based on the high-risk area and the disaster occurrence area.

An unmanned vehicle management system according to an aspect includes: a collection unit configured to collect video data acquired by an unmanned vehicle and natural disaster data related to natural disasters from information sources; a storage unit configured to store the video data and the natural disaster data; an analysis unit configured to extract feature amounts of the video data and the natural disaster data, and predict a high-risk area where a risk of natural disaster occurrence is higher than in other areas; a prediction unit configured to compare the video data and the natural disaster data collected during a disaster with the video data and the natural disaster data collected during normal times, and predict a disaster occurrence area where a disaster will occur; and a deployment unit configured to determine deployment of the unmanned vehicle and a rescuer based on the high-risk area and the disaster occurrence area.

An aerial vehicle includes a communication unit configured to receive a wireless signal from a geo-fencing device, and a flight controller configured to generate one or more control signals that cause the aerial vehicle to operate in accordance with a set of flight regulations generated based on the wireless signal. The geo-fencing device is configured not for landing of the aerial vehicle. The set of flight regulations includes rules for controlling at least one of the aerial vehicle, a carrier carried by the aerial vehicle, or a payload of the aerial vehicle.

An aerial vehicle includes a communication unit configured to receive a wireless signal from a geo-fencing device, and a flight controller configured to generate one or more control signals that cause the aerial vehicle to operate in accordance with a set of flight regulations generated based on the wireless signal. The geo-fencing device is configured not for landing of the aerial vehicle. The set of flight regulations includes rules for controlling at least one of the aerial vehicle, a carrier carried by the aerial vehicle, or a payload of the aerial vehicle.

A computer system includes processing circuitry configured to: obtain data indicative of a target total lift force to be generated by a front hydrofoil arrangement of a marine vessel and by a rear hydrofoil arrangement of the marine vessel, wherein the target total lift force is associated with a constant heave of the vessel; determine a lift force discrepancy between a current lift force of the vessel and the target total lift force, based on a state of the rear hydrofoil arrangement; and adjust an angle of attack of the front hydrofoil arrangement to compensate for the lift force discrepancy.