An autonomous vehicle system includes a body and a plurality of sensors coupled to the body and configured to generate a plurality of sensor measurements corresponding to the plurality of sensors. The system also includes a control unit configured to: receive inputs from a plurality of sources wherein the plurality sources comprise the plurality of sensors, the inputs comprise the plurality of sensor measurements; determine a confidence level of each input based on other inputs; prioritize, based on the confidence level associated with each input, the inputs; generate, based on the prioritization of the inputs and the confidence level, a combined input with a combined confidence level; and determine, based on the combined input and the combined confidence level, a mission task to be performed.

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.

Systems and methods for coordinating with a flight management system (FMS) on-board an aircraft to determine whether a flight plan (FP) change generated by an external device is valid. The method includes generating the FP change, which includes a deviation to the intended FP and a savings parameter associated with a parameter of the intended FP, responsive to weather data and aircraft state data; generating a lateral display showing the intended FP and an alphanumeric window with the FP change; transmitting the FP change to the FMS; receiving, from the FMS, a travel path and a calculated parameter for the travel path, generated by the FMS responsive to the FP change; determining whether the travel path realizes the savings parameter by comparing the calculated parameter to the savings parameter; and, displaying either a selectable graphical user interface (GUI) object to implement the FP change, or a warning based thereon.

Methods and systems are provided for assisting operation of an aircraft when diverting from a flight plan using a comparative vertical profile display. A vertical profile display includes a first graphical representation of a first vertical profile corresponding to a first lateral route defined by a flight plan for the aircraft and a second graphical representation of a second vertical profile corresponding to a modified lateral route different from the first lateral route displayed concurrently on the vertical profile display. The first vertical profile corresponding to the first lateral route is depicted on the vertical profile display in a first plane and the second vertical profile corresponding to the modified lateral route is depicted on the vertical profile display in a second plane different from the first plane.

Certain aspects of the present disclosure provide a method for determining a flight plan for an aircraft, including: determining one or more regions that intersect an initial flight path and comprise at least one terrain feature having an elevation greater than an elevation threshold; for each respective region: determining a flight area based on the initial flight path and an elevation threshold line; determining one or more segments of the initial flight path that comprise one or more terrain features having an elevation greater than the elevation threshold; and determining a modified flight path for each respective segment by: determining a plurality of descent gradients along the respective segment; and moving the respective segment of the initial flight path in the safe descent direction if any of the plurality of descent gradients would collide with any of the one or more terrain features.

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 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.

In an aspect of the present disclosure is a computing device for predicting battery temperature in an electric aircraft, the computing device including a controller communicatively connected to the electric aircraft, the controller comprising: a battery model, the battery model configured to: receive a flight plan; instantiate a machine-learning model, wherein the machine-learning model is trained as a function of a training set correlating flight plan data to battery temperature labels.

A drone docking ports (DDP) mounted on a pole top in close proximity to an accident scene with an openable and closable enclosure, a docking plate having integrated battery wired or wireless recharging pads, and a control module (CM) is disclosed. The CM is adapted to autonomously control all functions of the DDP including actuation of the enclosure and relay of video, audio, and flight control information between the CM and a central monitoring center and/or emergency personnel. A drone with a top and bottom profile design allowing numerous drones to be stacked upon one another and store in the DDP. When the DDP enclosure is in an open position, a drone or stack of drones may initiate a flight from the DDP and to re-dock the drone or stack of drones when the flight is completed, the enclosure may be closed to protect the drone or stack of drones.

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.