A system for controlling operation of unmanned assets. The system includes a graphical user interface displaying a map. The graphical user interface accepts graphical inputs drawn on the map. The system also includes a calculation unit having an input interpretation module that recognizes the graphical inputs and translates the graphical inputs into tasks and/or commands. The calculation unit also includes an operation planning module that generates operation instructions based on the tasks and/or commands; and a journey planning module that generates a journey plan for the unmanned assets based on the operation instructions. The system also includes a communications module that communicates with the unmanned assets to instruct the unmanned assets to operate according to the generated journey plan.

Embodiments of the present disclosure provide a point creation method and apparatus, an electronic device, and a storage medium. The method includes: displaying an area map corresponding to a target area on a display interface in response to a first trigger operation; determining a point creation area in response to a trigger operation of a user for the area map; and creating a plurality of points automatically in the point creation area, and displaying the plurality of points on the area map, in response to a trigger operation for a batch creating of points.

An information processing method is an information processing method executed by a computer, and includes: obtaining first information related to a service executed by each of at least one mobile body, among a plurality of mobile bodies that move autonomously, when an event to which a responder is to respond by traveling to a position of the at least one mobile body is occurring in the at least one mobile body; calculating, based on the first information obtained, a response necessity level indicating a degree of a necessity to respond to the event, for each of the at least one mobile body; and outputting second information related to the response necessity level calculated.

The present disclosure describes various aspects of remote presence interfaces (RPIs) for use on portable electronic devices (PEDs) to interface with remote presence devices. An RPI may allow a user to interact with a telepresence device, view a live video feed, provide navigational instructions, and/or otherwise interact with the telepresence device. The RPI may allow a user to manually, semi-autonomously, or autonomously control the movement of the telepresence device. One or more panels associated with a video feed, patient data, calendars, date, time, telemetry data, PED data, telepresence device data, healthcare facility information, healthcare practitioner information, menu tabs, settings controls, and/or other features may be utilized via the RPI.

According to the present invention, a moving body capable of moving within a preset range of movement acquires an image from the environment surrounding the location of the moving body, and determines entry determination conditions for obtaining a result of an entry determination as to whether or not the moving body is allowed to enter a region identified by the location of the moving body and the image. A management terminal outputs the entry determination conditions and the image to an output device, and receives modification information relating to the entry determination conditions from an input device. A server uses the modification information received by the input device of the management terminal to perform learning, including updating of the entry determination conditions, thereby setting the movement range of the moving body, the movement of which is controlled in accordance with the entry determination result.

Systems and methods implemented in algorithms, software, firmware, logic, or circuitry may be configured to process data and sensory input to determine whether an object external to an autonomous vehicle (e.g., another vehicle, a pedestrian, road debris, a bicyclist, etc.) may be a potential collision threat to the autonomous vehicle. The autonomous vehicle may be configured to implement active safety measures to avoid the potential collision and/or mitigate the impact of an actual collision to passengers in the autonomous vehicle and/or to the autonomous vehicle itself. Interior safety systems, exterior safety systems, a drive system or some combination of those systems may be activated to implement active safety measures in the autonomous vehicle.

Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide an autonomous vehicle fleet as a service. More specifically, systems, devices, and methods are configured to manage a fleet of autonomous vehicles. In particular, a method may include determining destination locations for autonomous vehicles, calculating, at an autonomous vehicle service platform, delivery locations to which the autonomous vehicles are directed, identifying data to implement a delivery location associated with an autonomous vehicle, and transmitting data representing a command to the autonomous vehicle. The command may be configured to cause navigation of the autonomous vehicle to the delivery location.

Systems and methods implemented in algorithms, software, firmware, logic, or circuitry may be configured to process data and sensory input to determine whether an object external to an autonomous vehicle (e.g., another vehicle, a pedestrian, road debris, a bicyclist, etc.) may be a potential collision threat to the autonomous vehicle. The autonomous vehicle may be configured to implement active safety measures to avoid the potential collision and/or mitigate the impact of an actual collision to passengers in the autonomous vehicle and/or to the autonomous vehicle itself. Interior safety systems, exterior safety systems, a drive system or some combination of those systems may be activated to implement active safety measures in the autonomous vehicle.

Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide map data for autonomous vehicles. In particular, a method may include accessing subsets of multiple types of sensor data, aligning subsets of sensor data relative to a global coordinate system based on the multiple types of sensor data to form aligned sensor data, and generating datasets of three-dimensional map data. The method further includes detecting a change in data relative to at least two datasets of the three-dimensional map data and applying the change in data to form updated three-dimensional map data. The change in data may be representative of a state change of an environment at which the sensor data is sensed. The state change of the environment may be related to the presence or absences of an object located therein.

An equipment identification system for identifying and operating one or more machines at a site. The system includes one or more connectivity modules, each connectivity module communicatively and physically coupled to one of the one or more machines. The system also includes a user device configured to communicate with the one or more connectivity modules via a network connection. In response to a user selection on an application hosted on the user device, one or more of the machines are identified by one or both of an audible signal or a visual signal.