This disclosure describes monitoring and operating subsea well systems, such as to perform operations in the construction and control of targets in a subsea environment. A submerisble ROV that performs operations in the construction and control of targets (e.g., well completion components) in a subsea environment, the ROV has one or more imaging devices that capture data that is processed to provide information that assists in the control and operations of the ROV and/or well completion system while the ROV is subsea.

An available work storage unit stores machinery/equipment on which an unmanned aircraft is to carry out work, and work content which can be carried out on the machinery/equipment. A work content acquisition unit acquires machinery/equipment on which work is to be carried out and work content to be carried out by the unmanned aircraft. A flight plan creation unit determines identification information regarding the machinery/equipment acquired by the work content acquisition unit and a work location for the unmanned aircraft on the basis of the work content, and creates a flight plan for carrying out work at the determined work location.

A method and a system for ascertaining a surface condition of a road region using at least one sensor of a vehicle. Data from the sensor are collected, wherein the collected data are evaluated in order to ascertain the surface condition of the road region. The surface condition is analyzed with regard to its shape, and at least one road defect of the road portion is ascertained. A planned vehicle trajectory of the vehicle is adjusted based on the at least one ascertained road defect in order to reduce the ascertained road defect and/or to prevent further road defects.

A robot sized and shaped for reception in a pipe, the robot including a chassis configured for movement of the robot in the pipe, a plurality of sensors including an inertial measurement unit (IMU), an encoder and a stereo vison camera associated with the robot, and a sensor fusion system operable to combine readings from the IMU, the encoder and the stereo vision camera to determine a position of the robot within the pipe, and wherein the sensor fusion system is operable to use machine learning in creating a digital twin of the pipe.

The present disclosure relates to the technical field of video monitor information. Provided are a video patrol method and apparatus, an electronic device, and a readable medium. The video patrol method comprises: obtaining video patrol information, wherein the video patrol information is video information obtained from a real scene; matching and combining the video patrol information with a 3D roaming scenario to obtain a 3D patrol video, wherein the 3D roaming scenario is a virtual scenario obtained by simulating the real scene; and displaying the 3D patrol video. The present disclosure can reduce the labor intensity of operation and maintenance workers, and improve the patrol efficiency.

An information processing apparatus includes a controller configured to manage a status of a work vehicle. The controller is configured to determine whether the work vehicle is unable to travel based on information about the work vehicle, and provide notification, to a notification target, that the work vehicle is unable to travel in a case in which the work vehicle is determined to be unable to travel.