There is provided an information processing system for remotely steering a mobile body, the information processing system including an information acquisition unit (104) that acquires information concerning the mobile body and information concerning a periphery of the mobile body and an information generation unit (122) that generates, based on the acquired information, tactile information for performing the remote steering and presents the generated tactile information to an operator who performs the remote steering via an interface corresponding to the tactile information.

A control method and a control system for an unmanned aerial vehicle, the control method comprising: S1, acquiring the attitude of an unmanned aerial vehicle and displaying the attitude; S2, acquiring a panoramic video around the unmanned aerial vehicle corresponding to the attitude; S3, displaying the panoramic video, according to viewing angle display; and S4, controlling the unmanned aerial vehicle to move, according to a received flight control command and returning to step S1.

In a vehicle remote instruction system, a remote commander issues a remote instruction relating to travel of an autonomous driving vehicle based on sensor information from an external sensor that detects an external environment of the autonomous driving vehicle. The vehicle remote instruction system sets a range of information to be transmitted to the remote commander among the sensor information detected by the external sensor, as a limited information range, based on the external situation or an external situation obtained based on map information and a trajectory of the autonomous driving vehicle.

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.

The assisted navigation system is intended to enable an assisted operation mode in ground mobile robots. The system is designed to achieve an autonomous relocation of a robot from one location to another location within a sidewalk, minimizing the need for constant human intervention. The system includes a camera for collecting the visual data needed to assess the terrain and potential obstacles, a collection of sensors to detect potential obstacles during assisted operations, a communication module to receive inputs from a remote operator to enable the activation of this system, a localization module for teleoperations, a local server module to store the information gathered, a processor configured to operate a robot in an assisted mode of operation based on input from the communication interface in which the robot performs a task without human intervention, and a communication interface coupled to the processor and configured to communicate control values to the systems of the mobile robot.

A system and method involves detecting a trigger event during operation of an autonomous ground vehicle traveling between two physical locations; generating event sequence data from primary sensor data, secondary sensor data, spatiotemporal data, and telemetry data through operation of a reporter; communicating the event sequence data to cloud storage and raw data to a streaming database; transforming the raw data into normalized data stored in a relational database through operation of a normalizer; operating a curation system to identify true trigger events from the normalized data and extract training data by way of a discriminator; operating a machine learning model within an active learning pipeline to generate a model update from aggregate training data generated from the training data by an aggregator; and reconfiguring the navigational control system with the model update communicated from the active learning pipeline to the autonomous ground vehicle.

There is provided a system and the like capable of assisting remote operation of a work machine performed by a remote operator in such a way that contact between the work machine and an actual machine operator and other unfavorable situations can be avoided. Even in a situation in which a first evaluation result is affirmative and a work machine 40 can be remotely operated via a remote operation apparatus 20, but in a situation in which a second evaluation result is affirmative and it is highly probable that a worker carrying a portable terminal 60, such as an actual machine operator OP2, is so close to the work machine 40 or on the work machine 40 that short-range wireless communication between the work machine 40 and the portable terminal 60 is established, remote operation of the work machine 40 is inhibited.

A system for remote viewing and control of self-driving vehicles includes: an execution subsystem for deployment at an execution location containing a self-driving vehicle. The execution subsystem includes: a capture assembly to capture multimedia data depicting the execution location, and a server to receive the multimedia data and transmit the multimedia data for presentation at an operator location remote from the execution location. The server relays operational commands and operational status data between the self-driving vehicle and the operator location. The system includes an operator subsystem for deployment at the operator location, including: a display assembly, and a computing device to: (a) establish a connection with the server; (b) receive the multimedia data from the server and control the display assembly to present the multimedia data; and (c) receive control commands and transmit the control commands to the server for execution by the self-driving vehicle.

Controlling an unmanned aerial vehicle may include obtaining a first image from a fixed orientation image capture device of the unmanned aerial vehicle, obtaining a second image from an adjustable orientation image capture device of the unmanned aerial vehicle, obtaining feature correlation data based on the first image and the second image, obtaining relative image capture device orientation calibration data based on the feature correlation data, the relative image capture device orientation calibration data indicating an orientation of the adjustable orientation image capture device relative to the fixed orientation image capture device, obtaining relative object orientation data based on the relative image capture device orientation calibration data, the relative object orientation data representing a three-dimensional orientation of an external object relative to the adjustable orientation image capture device, and controlling a trajectory of the unmanned aerial vehicle in response to the relative object orientation data.

A method performed by an on-board control unit of a vehicle for enabling a safe operation of the vehicle is provided. The method includes receiving, via a wireless communication interface, a second activation code from an off-board control station capable of remotely operating the vehicle. The method also includes activating the vehicle for operation in case the received second activation code correspond to a first activation code comprised in the on-board control unit. An on-board control unit, as well as an off-board control station and method therein for enabling a safe operation of a vehicle are also provided.