Various embodiments for controlling a state of an autonomous vehicle that is to meet a user are provided. A receiver receives location information indicating a current location of the user. A memory stores a plurality of states of the autonomous vehicle. Each of the states at least one of visually or audibly distinguishes the autonomous vehicle. A sensor senses an environment of the autonomous vehicle to obtain environment information. A distance from a place of meeting the user to the current location of the user is calculated based on the location information. A first state is selected in accordance with the environment information. The autonomous vehicle is caused to change from a second state to the first state when the distance from the place of meeting the user to the current location of the user becomes smaller than or equal to a predetermined distance.

Systems, apparatuses, and methods for dynamic filtering of high intensity broadband electromagnetic waves in image data from a sensor of a robot are disclosed herein. According to at least one non-limiting exemplary embodiment, sunlight or light emitted from nearby fluorescent lamps may cause a robot to generate false positives of objects nearby the robot as the light may be of high intensity and large bandwidth. These false positives may cause a robot to get stuck or navigate without use of a camera sensor, which may be unsafe.

This disclosure presents an assisted driving vehicle system, including autonomous, semi-autonomous, and technology assisted vehicles, that can share sensor data among two or more controllers. A sensor can have one communication channel to a controller, thereby saving cabling and circuitry costs. The data from the sensor can be sent from one controller to another controller to enable redundancy and backup in case of a system failure. Sensor data from more than one sensor can be aggregated at one controller prior to the aggregated sensor data being communicated to another controller thereby saving bandwidth and reducing transmission times. The sharing of sensor data can be enabled through the use of a sensor data distributor, such as a converter, repeater, or a serializer/deserializer set located as part of the controller and communicatively coupled to another such device in another controller using a data interface communication channel.

A controller may receive, from a sensor device, machine velocity data indicating a velocity of a machine controlled by a remote control device. The controller may determine, based on the machine velocity data, a distance to be traveled by the machine until the machine stops traveling after a communication, between the machine and the remote control device, is interrupted. The controller may generate, based on the distance, an overlay to indicate the distance. The controller may provide the overlay, for display, with a video feed of an environment surrounding the machine.

The present disclosure relates to a system for tracking wildlife such as game animals. The tracking system includes a drone that has a camera and a dart dispenser that dispenses a dart with a location transmitter. The drone sends images from the camera to a remote controller, where a user pilots the drone and observes animals for disease or other behaviors, and sends instructions to dispense the dart. The real-time location of the dart is then provided to a mobile application for use in tracking or hunting the animal.

A method is provided for simplifying a takeover of control of a motor vehicle by a vehicle-external operator. In the method, images of the surroundings of the vehicle are captured from the vehicle and semantically segmented. Errors in a corresponding segmentation model are predicted on the basis of at least one such image each. If a corresponding error prediction triggering a request for the takeover of control is made, an image-based visualization is automatically generated in which exactly one region corresponding to the error prediction is visually highlighted. The request and the visualization are then sent to the vehicle-external operator.

Method for inspecting an industrial equipment in an operating space, including the following steps: receiving image data, detected by a measurement device and representing an image including at least one component of the industrial equipment; processing the image data by means of machine vision algorithms to identify a control parameter; processing image data and determining a dimensional measurement, using machine vision algorithms, corresponding to the control parameter identified; formulating and sending a read request to a memory, based on the control parameter identified; sending an allowable maintenance value, representing an allowable value of the control parameter identified; comparing between the allowable maintenance value and the dimensional measurement; generating a diagnosis, based on the comparison between the allowable maintenance value and the dimensional measurement.

An information generation method is performed by an information generation device which generates information for a learning model that infers whether a mobile object is movable in a predetermined region. The information generation method includes: obtaining at least (i) first information and (ii) second information when the mobile object moves in a first region, the first information being obtained from a sensor provided in the mobile object, the second information relating to movement of the mobile object; inferring whether the mobile object is movable in the first region according to the second information; and generating fourth information for a learning model, the fourth information associating the first information, the second information, and third information with one another, the third information indicating an inference result which is obtained in the inferring.

Systems and methods for dynamic control of remotely operated vehicles may include various types of sensors to detect environment, surface, and/or friction conditions proximate a vehicle. Based on the detected environment, surface, and/or friction conditions, a maximum acceleration for safe operation of the vehicle may be determined. In addition, various dynamic control limits or ranges for the vehicle may be determined based on the maximum acceleration, and the vehicle may be controlled or instructed to operate within such dynamic limits. Moreover, various notifications, alerts, and/or feedback may be presented or output for the teleoperator at the teleoperator station in order to increase environment awareness and promote safe driving behaviors.

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.