A marine vessel management system, comprising: receiving input data comprising at least radar input data indicative of a first field of view and imagery input data indicative of a second field of view being at least partially overlapping with said first field of view. Processing the input data to determine data indicative of reflecting object(s) within an overlapping portion of said first field of view. Determining respective locations(s) within said second field of view, where said reflecting object(s) are identified, and obtaining radar meta-data of said reflecting object(s); processing said input imagery data said respective locations in an overlapping portion of said second field of view. Determining image data piece(s) corresponding with section(s) of said imagery data associated with said reflecting object(s). Using said radar meta-data for generating label data and generating output data comprising said image data section(s) and said label data.

A system and a method for generating three-dimensional scan data of areas of interest, the method comprising a user defining the areas of interest using a mobile device in the environment, and a scanning device performing a scanning procedure at each defined area of interest to generate the scan data of the respective area of interest, wherein defining the areas of interest comprises, for each area of interest, generating identification data, wherein generating the identification data at least comprises generating image data of the respective area of interest, and the scanning procedure at each defined area of interest is performed by a mobile robot comprising the scanning device and being configured for autonomously performing a scan of a surrounding area using the scanning device, the mobile robot having a SLAM functionality for simultaneous localization and mapping and being configured to autonomously move through the environment using the SLAM functionality.

Embodiments described herein may relate to an unmanned aerial vehicle (UAV) navigating to a target in order to provide medical support. An illustrative method involves a UAV (a) determining an approximate target location associated with a target, (b) using a first navigation process to navigate the UAV to the approximate target location, where the first navigation process generates flight-control signals based on the approximate target location, (c) making a determination that the UAV is located at the approximate target location, and (d) in response to the determination that the UAV is located at the approximate target location, using a second navigation process to navigate the UAV to the target, wherein the second navigation process generates flight-control signals based on real-time localization of the target.

A system comprises: a remote controller that causes a vehicle to run by remote control, the vehicle being capable of running along a track in a factory during a course of manufacture, the vehicle including a vehicle communication unit and a driving controller, the vehicle communication unit having a communication function, the driving controller implementing driving control over the vehicle; a track information acquisition unit that acquires track information that is information about an environment of a track on which the vehicle is configured to run by the remote control; and a running method determination unit that determines a running method using the acquired track information, the running method including at least one of a possibility or impossibility of running of the vehicle and a running route along which the vehicle is to run.

An autonomous moving apparatus is an apparatus that autonomously moves toward a target object set in advance, and includes a plurality of radio wave receiving units that receive a radio wave transmitted from the autonomous moving apparatus or an external device, a radio wave prevention unit that blocks or absorbs a radio wave from a predetermined direction when viewed from the radio wave receiving units, a movement direction setting unit that sets a movement direction of the autonomous moving apparatus based on a measurement result by the plurality of radio wave receiving units, and an operation control unit that controls the autonomous moving apparatus to travel in the movement direction set by the movement direction setting unit.

A work machine includes a moving boom, an ultra-wideband system (UWB) having one UWB tag and a number of UWB anchors, a marking apparatus that can be handled by a user and can be operated by the user, and a control unit. The UWB tag is mounted on the marking apparatus. The control unit is designed so as, when the marking apparatus is operated, to store a position of the UWB tag ascertained by way of the UWB system at the time of the operation and to control the operation of the mobile work machine on the basis of the ascertained position.

Provided is a method of operating an unmanned mobile vehicle for detecting an indoor environment. The method according to an embodiment of the present disclosure includes obtaining first motion information using a LiDAR sensor provided on the unmanned mobile vehicle, obtaining second motion information using an inertial sensor provided on the unmanned mobile vehicle, performing correction on the first motion information and the second motion information on the basis of error models corresponding to the LiDAR sensor and the inertial sensor, and determining final position information of the unmanned mobile vehicle on the basis of the correction.

An interaction method for a mobile robot comprises: acquiring map data information of a space in which a mobile robot is located, and acquiring real-time environment perception data collected by an environment perception sensor, the real-time environment perception data comprising real-time obstacle information, and real-time indication information for indicating a road condition around the mobile robot; acquiring target traveling path information of the mobile robot on the basis of the real-time obstacle information and the map data information, and determining a ground projection region according to the target traveling path information and the real-time indication information; acquiring a pattern to be projected, and determining a projection parameter corresponding to said pattern, wherein said pattern is used for indicating a traveling intention of the mobile robot; and controlling a projection apparatus according to the projection parameter, so as to project said pattern onto the ground projection region.

A moving object movable by remote control comprises: a moving object communication unit for receiving a request for driving control from outside the moving object; a driving controller capable of implementing driving control over the moving object in response to the request for driving control during a course of manufacture in a factory for manufacture of the moving object; a signal detection unit for detecting an disablement signal at a predetermined place along a moving route of the moving object; and an disablement implementation unit that performs an disablement process for disabling the remote control if a first condition is fulfilled. The first condition includes an event that the disablement signal is detected or an event that the disablement signal having been detected becomes no longer detected.

A technique that can prevent conveyance of a moving object from delaying when the moving object stops during autonomous driving by a remote operation. A control device includes a switching execution unit that, when a predetermined first switching condition is satisfied, switches a driving mode of the moving object from a remote autonomous driving mode to a remote manual driving mode, and the first switching condition includes as a condition a case where, during running in the remote autonomous driving mode, the moving object falls in at least one state of (1a) a first state where a state of the moving object has become an abnormal state, (1b) a second state where a moving object has intruded a surrounding area set in advance to surroundings of the moving object, and (1c) a third state where a failure has occurred during the running in the remote autonomous driving mode.