Provided is an aircraft docking guidance system using a three-dimensional (3D) laser scanner, including a laser scanner configured to acquire data related to aircraft docking guidance and docking control; a database configured to store information related to specifications and characteristics of each aircraft type that is a target of the aircraft docking guidance and docking control using the laser scanner; a communicator configured to transmit and receive information between the laser scanner and the database; and a data analysis decision algorithm processing unit configured to determine information of an object by comparing image information acquired through the laser scanner and information stored in the database.

A system comprising, a plurality of unmanned aerial vehicles and a single controller for controlling said plurality of unmanned aerial vehicles, wherein the single controller is configured such that it can broadcast a command to all of the plurality of unmanned aerial vehicles so that each of the plurality of unmanned aerial vehicles receive the same command; and wherein each of the unmanned aerial vehicles comprise a memory which stores a plurality of predefined flight paths each of which is assigned to a respective command; and wherein each of the unmanned aerial vehicles comprise a processor which can, (i) receive a command which has been broadcasted by the single controller to said plurality of unmanned aerial vehicles, (ii) retrieve from the memory of that aerial vehicle the flight path which is assigned in the memory to that command, and (iii) operate the aerial vehicle to follow the retrieved flight path. There is further provided a corresponding method of controlling a plurality of unmanned aerial vehicles.

A computer-implemented method for tracking includes obtaining an infrared image and a visible image from an imaging device supported by a carrier of an unmanned aerial vehicle (UAV), obtaining a combined image based on the infrared image and the visible image, identifying a target in the combined image, and generating control signals for tracking the identified target using the imaging device.

A method, apparatus, and system for controlling an aircraft. A target state for the aircraft is identified. A current mission state is determined for the aircraft. A sequence of actions is selected from a pool of potential actions to reach the target state from the current mission state for the aircraft. The sequence of actions is selected based on the current mission state. The actions in the sequence of actions for which preconditions for the actions that have been met are performed. The actions are performed in an order defined by the sequence of actions.

Systems, methods, and apparatuses described herein relate to a method for delivering cash by an unmanned vehicle to a plurality of customers at different locations. The method includes receiving cash delivery requests from user devices of the plurality of customers via a communications network. The method includes determining a path for the unmanned vehicle from a current location of the unmanned vehicle to Global Position System (GPS) locations of the user devices of the plurality of customers. The method also includes instructing each of the plurality of compartments of a cash container of the unmanned vehicle to open in response to authenticating a corresponding customer of the plurality of customers or a corresponding user device of the user devices that generated a corresponding cash delivery request for which each of the plurality of compartments is storing cash.

Methods by which an autonomous vehicle may predict actions of other actors are disclosed. A vehicle will assign either a high priority rating or a low priority rating to each actor that it detects. The vehicle will then generate a forecast for each of the detected actors. Some of not all high priority actors will receive a high resolution forecast. Low priority actors, and optionally also some of the high priority actors, will receive a low resolution forecast. The system will the forecasts to predict actions for the actors. The autonomous vehicle will then use the predicted actions to determine its trajectory.

Methods and systems for attaching and detaching an item satchel from an autonomous delivery unit. An attachment system includes an attachment system frame, and a satchel comprising a plurality of external pins. The attachment system also includes a plurality of hooks, mechanically attached to the frame, each hook including a first engagement surface and a second engagement surface, one or more electric actuators, mechanically attached to the frame, and mechanically connected to the plurality of hooks. Each of the first engagement surfaces engage a corresponding pin of the plurality of external pins at a first position between the horizontal and vertical positions, and each of the second engagement surfaces engage the corresponding pin of the plurality of external pins at the vertical position to secure an item satchel to an autonomous delivery unit.

A blimp includes a circular disk-shaped envelope filled with a lighter-than-air gas. A gondola is affixed to an underside of the envelope and is disposed at a region directly below a center point of the circle defined by the intersection of the envelope and the horizontal plane. The gondola includes: a horizontally-disposed elongated circuit board that functions as a structural member of the gondola; and a vertical member extending upwardly from the circuit board and having a top that is attached to the underside of the envelope. A thrusting mechanism is affixed to the gondola and is configured to generate thrust. An electronics suite is disposed on and electrically coupled to the circuit board and includes a blimp processor configured to generate control signals that control the thrusting mechanism. A battery is affixed to the gondola and provides power to the electronics suit and the thrusting mechanism.

An enhanced visibility system for a work machine includes an image capture device, a sensor, one or more control circuits, and a display. The image capture device is configured to obtain image data of an area surrounding the work machine. The sensor is configured to obtain data regarding physical properties of the area surrounding the work machine. The control circuits are configured to receive the image data and the data regarding the physical properties, and augment the image data with the data regarding the physical properties to generate augmented image data. The display is configured to display the augmented image data to provide an enhanced view of the area surrounding the work machine.

Product transport is facilitated by a processor(s) obtaining data related to a planned transport event, and analyzing the data to predict energy usage of a transport vehicle in performing the planned transport event, including transporting one or more transport containers. The processor(s) determine, based at least in part on the predicted energy usage, an energy source size for a transport container of the transport container(s) to be transported by the transport vehicle, and determine whether the transport vehicle is to proceed with the transport event. The determining whether to proceed is based, at least in part, on the processor(s) determining that an energy source of the determined energy source size is integrated within the transport container, with the integrated energy source being adapted in the container to contribute energy to the transport vehicle when the transport container is positioned within the transport vehicle for transport.