A machine localization system includes a work machine including an extendable implement, a first pressure sensor coupled to the work machine, a second pressure sensor located at a known elevation, and a computing system operably coupled to the work machine, the first pressure sensor, and the second pressure sensor. The computing system is configured to receive a first pressure measurement from the first pressure sensor and a second pressure measurement from the second pressure sensor, determine a maximum operating height of the extendable implement based on a difference between the first pressure measurement and the second pressure measurement, and configure the extendable implement to not exceed the maximum operating height.

There is provided a cargo transport system including: a management device; and a plurality of automated guided vehicles. Each of the automated guided vehicles includes: a movement instruction receiving unit that receives, from the management device, a movement instruction for moving to at least one loading operation place where a loading operation of loading a cargo to be transported into the automated guided vehicle is performed or a specified position near the loading operation place; an information transmitting unit that transmits, to the management device, load information concerning a load state of the cargo loaded into the automated guided vehicle; and a traveling unit that performs automated traveling in accordance with the received movement instruction. The management device includes: a movement instruction management unit that transmits the movement instruction to each of the automated guided vehicles; a load information receiving unit; and a load amount management unit.

Systems and methods are provided for monitoring deliveries in an autonomous vehicle. In particular, systems and methods are provided for monitoring the conditions of the interior of a delivery container inside an autonomous vehicle. In various implementations, the delivery container includes one or more compartments, and the conditions of each of the one or more compartments is monitored.

A common command and control architecture (alternatively termed herein as a “universal control architecture”) is disclosed that allows different unmanned systems, including different types of unmanned systems (e.g., air, ground, and/or maritime unmanned systems), to be controlled simultaneously through a common control device (e.g., a controller that can be an input and/or output device). The universal control architecture brings significant efficiency gains in engineering, deployment, training, maintenance, and future upgrades of unmanned systems. In addition, the disclosed common command and control architecture breaks the traditional stovepipe development involving deployment models and thus reducing hardware and software maintenance, creating a streamlined training/proficiency initiative, reducing physical space requirements for transport, and creating a scalable, more connected interoperable approach to control of unmanned systems over existing unmanned systems technology.

A management terminal, which manages one of a tractor, a rice transplanter, and a combine harvester, as a plurality of types of work machines that perform a plurality of types of work, respectively, on a field, is provided with a storage portion which stores a management application for managing the plurality of types of work machines, a control device which activates the management application, and a display portion. When the control device activates the management application, the control device displays, on the display portion, a plurality of app activation icons corresponding to the plurality of types of work machines, respectively, in such a way that the plurality of app activation icons are selectively operable. Also, the control device activates, in response to selective operation of any one of the plurality of app activation icons, an individual application for operating the work machine corresponding to the selectively operated app activation icon.

In some embodiments, a computer-implemented method of managing a fleet of unmanned aerial vehicles (UAVs) is provided. A fleet management computing system receives telemetry information from a plurality of UAVs. The fleet management computing system generates a map interface having a plurality of UAV icons based on the telemetry information. The fleet management computing system receives a selection of an initial group of UAV icons via the map interface, wherein the initial group of UAV icons includes two or more UAV icons. The fleet management computing system receives a de-selection of one or more UAV icons from the initial group of UAV icons to create a final selected group of UAV icons. The fleet management computing system transmits a command to UAVs associated with the UAV icons of the final selected group of UAV icons.

A common command and control architecture (alternatively termed herein as a “universal control architecture”) is disclosed that allows different unmanned systems, including different types of unmanned systems (e.g., air, ground, and/or maritime unmanned systems), to be controlled simultaneously through a common control device (e.g., a controller that can be an input and/or output device). The universal control architecture brings significant efficiency gains in engineering, deployment, training, maintenance, and future upgrades of unmanned systems. In addition, the disclosed common command and control architecture breaks the traditional stovepipe development involving deployment models and thus reducing hardware and software maintenance, creating a streamlined training/proficiency initiative, reducing physical space requirements for transport, and creating a scalable, more connected interoperable approach to control of unmanned systems over existing unmanned systems technology.

A system including a processor and memory may provide for automatically activating or deactivating a feature of a fleet vehicle. For example, one or more fleet vehicles may include one or more of a global-positioning system, a speed governor, electronically-controlled brakes, an electronically-controlled accelerator, a speed limiter, or an on-board computer with a processor and memory. One or more features may be activated by a local or remote computing device or system. For example, a system may determine one or more recommended routes between two or more locations. The system may track a fleet vehicle's progress along a route, and activate a feature of the fleet vehicle based on the fleet vehicle following or not following the recommended route. For example, the system may cause activation of a speed limiter on the fleet vehicle, disable the fleet vehicle, and/or activate or deactivate autonomous features of the fleet vehicle.

A wireless control system comprises a plurality of local stations linked by a communication network. Each local station transmits, in a respective radio coverage area, an enduring status signal. An autonomous vehicle is authorized to move while it receives the status signal. When an emergency stop switch of the local station is activated, the local station interrupts its transmission of the status signal. It also instructs one or more further local stations, to which it is linked by a communication network, to interrupt their transmission of the status signal. In this way, the activation of the local emergency stop switch will have effect throughout the control system and will eventually bring all autonomous vehicles to a halt.

A method for a data processing installation for obtaining an operating state of a first autonomous vehicle. The method includes determining a current state of the first autonomous vehicle from a received measurement value of a sensor of a second vehicle. When the current state of the first autonomous vehicle deviates from a setpoint state, the method includes sending a first message to the first autonomous vehicle, wherein the first message contains a command to travel autonomously to a service location. Alternatively, the method includes sending a second message to a person responsible for the first autonomous vehicle, wherein the second message includes information about the deviation of the current state of the first autonomous vehicle from the setpoint state. Alternatively, the method includes sending a third message to service personnel, wherein the third message contains an instruction for the service personnel to set the vehicle to the setpoint state.