A method may include detecting, during a flight of an aircraft system, a conflict with a planned route of the aircraft system, determining one or more alternate routes for the aircraft system to avoid the conflict, wherein each of the one or more alternate routes avoid secondary conflicts with active flight operations, transmitting first data to cause first visual information indicating the conflict and second visual information indicating the one or more alternate routes to be displayed to a user, receiving second data indicating one of the one or more alternate routes being selected by the user, and updating the planned route of the aircraft system to include the alternate route selected by the user.

A drone is provided that includes a controller, a time measurer that measures a present time, a position measurer that obtains a current position of the drone, and a storage that stores a time period for which the flight of the drone is permitted. The controller performs operations including determining a possible flight area of the drone in accordance with a difference between an end of the time period for which flight of the drone is permitted and the present time, and determining whether the drone is located within the possible flight area on the basis of the current position of the drone.

A first sensitivity level is used to interpret an input signal received from an input device in a vehicle while the vehicle is in a first region. A second sensitivity level is used to interpret the input signal received from the input device in the vehicle while the vehicle is in a second region, wherein the second sensitivity level is greater than the first sensitivity level.

A flight management system for unmanned aerial vehicles (UAVS), in which the UAV is equipped for cellular fourth generation (4G) flight control. The UAV caches on-board a 4G modem, an antenna connected to the modern for providing for downlink wireless RF. A computer is connected to the modem. A 4G infrastructure to support sending via uplink and receiving via downlink from and to the UAV. The infrastructure further includes 4G base stations capable of communicating with the UAV along its flight path. An antenna in the base station is capable of supporting a downlink to the UAV. A control centre accepts navigation related data from the uplink. In addition, the control centre further includes a connection to the 4G Infrastructure for obtaining downlinked data. A computer for calculating location of the UAV using navigation data from the downlink.

Boundary information for a three-dimensional (3D) flying space is obtained. An input associated with steering a vehicle is received from an input device and location information associated with the vehicle is received from a location sensor. A control signal for the vehicle is generated based at least in part on the boundary information, the input, and the location information. In the event the input would cause the vehicle to cross the boundary of the 3D flying space if obeyed, the control signal for the vehicle is generated so that the vehicle is prevented from crossing the boundary of the 3D flying space. In response to receiving an indication associated with the vehicle landing, the boundary information is modified so that the 3D flying space includes a landing pathway.

Disclosed are embodiments for employing off board sensors to augment data used by a ground based autonomous vehicle. In some aspects, the off-board sensors may be positioned on another autonomous vehicle, such as an aerial autonomous vehicle (AAV). The disclosed embodiments determine uncertainty scores associated with ground regions. The uncertainty scores indicate a need to reimage the ground regions. An AAV may be tasked to reimage a region having a relatively high uncertainty score, depending on a cost associated with the tasking.

Disclosed are methods, systems, and a non-transitory computer-readable medium for modifying a flight plan of a vehicle. The method may include identifying a maneuver of a flight path that will generate a focus boom, based on received flight path data and permissible threshold boom values for locations along a boom footprint of the maneuver, and generating an adjustment to at least one of a speed, an altitude, an attitude, a location, and a turn radius of the maneuver based on the received data and the permissible threshold boom values. In addition, the method may include updating the flight plan based on the generated adjustment to the at least one of the speed, the altitude, the attitude, the location, and the turn radius of the at least one maneuver.

A method for multimodal transportation based on an air vehicle may include confirming, by a transportation management server, freight transfer approval information provided by a freight transfer object that approaches a take-off and landing facility, setting a freight stop zone in response to a demand for freight handling of the freight transfer object, and processing freight loading or unloading of the freight transfer object based on freight information corresponding to the freight transfer object.

Provided are an action plan making system and method for an unmanned aerial vehicle, and a storage medium. The action plan making system (1) includes: an unmanned aerial vehicle (10), provided with an aerial shooting device; and a computer (30). A control unit of the computer (30) executes a making module (324), which makes an action plan including a flight plan and a shooting plan of the unmanned aerial vehicle (10) according to a region accepted by executing a region acceptance module (322) and a purpose accepted by executing a purpose acceptance module (323). A control unit (14) of the unmanned aerial vehicle (10) executes a control module (141), and controls the aerial shooting of a camera (17) and flying of the unmanned aerial vehicle (10) based on the action plan made by executing the making module (324) by the control unit (32) of the computer (30).

Systems and methods for trajectory planning for an unmanned aerial vehicle. A mission specification for fulfillment by an unmanned aerial vehicle is received. The mission specification identifies a waypoint, an optimization criterion, and information identifying the unmanned aerial vehicle. It is determined whether candidate flight trajectories are available. Maneuvers from a motions library that defines available maneuvers are modeled to identify candidate flight trajectories to the waypoint which satisfy a restriction condition and do not conflict with a flight plan for another aerial vehicle. If candidate flight trajectories are available, desired flight trajectories are selected. A mission approval is submitted to a receiving party.