A visual display for use by a user for navigation and obstacle avoidance. A typical user employs the invention in operating a vehicle. The user may be located in the vehicle but will more typically be remotely located. The display may include a conventional video feed. A visual arch metaphor is also provided. If used in conjunction with a video feed, the arch metaphor preferably extends from the left side of the video, over the top of the video, and on to the right side of the video. A ranging device mounted on the vehicle collects ranging data around the vehicle. As an example, the ranging device might collect 180 degrees of ranging data extending from the vehicle's left side, across the vehicle's front, and over to the vehicle's right side. The ranging data is then correlated to a predefined color scale. The ranging data is also correlated to a position on the arch metaphor.

An unmanned aerial vehicle (UAV) logs first UAV information at a first frequency. The UAV triggers a camera associated with the UAV to capture an image. In response to triggering the camera to capture the image, the UAV logs second UAV information at a second frequency that is higher than the first frequency. A device that is separate from the UAV identifies a location of the UAV corresponding to the image based on a capture timestamp of the image received from the camera, the first UAV information, and the second UAV information. The device generates a geo-rectified imagery based on the image and the location of the UAV.

In some examples, a computing device receives, from an unmanned aerial vehicle (UAV), a first image from a first camera on the UAV and a plurality of second images from a plurality of second cameras on the UAV. The plurality of second cameras may be positioned on the UAV for providing a plurality of different fields of view in a plurality of different directions around the UAV. Further, the first camera has a longer focal length than the second cameras. The computing device presents, on a display, a composite image including at least a portion of the first image within a merged image generated from the plurality of second images. The presented composite image enables a user to at least one of: zoom out from the at least one first image to the merged image, or zoom in from the merged image to the at least one first image.

A method for remotely controlled driving of a motor vehicle, characterized in that by the motor vehicle a transport travel with at least one passenger in the motor vehicle is performed. The driving of the motor vehicle during the transport drive, at least in phases, is performed in teleoperated manner by an external teleoperator from an operator location. During the teleoperated driving environmental information of the motor vehicle is transmitted to the operator location and displayed at least on one display unit for the teleoperator. During the teleoperated driving a viewing direction of the teleoperator on the display unit is determined, and is displayed on the display unit where the teleoperator gazes. This image region, at which the teleoperator gazes, is visually marked on a display unit in the motor vehicle.

A vehicle control system includes at least one imaging device attached to a vehicle and that captures multiple images, and a control circuit that generates a composite image from the multiple images and displays the composite image on a display unit. The vehicle is operated according to a user operation on a portion of the display unit on which the composite image is being displayed.

An information terminal carried by a user of a moving object includes: a display configured to perform a position instruction operation on a display image; and a controller configured to perform movement control of the moving object based on a specific operation including a rotation instruction operation of the user on the display. After the controller causes the display to display a first guidance image that extends in a left-right direction, the controller causes the display to display, at a first position instructed by the user on the first guidance image, a second guidance image that has a length in a left-right direction shorter than that of the first guidance image and that serves as a starting point of the specific operation.

A smart container yard includes systems for intelligently controlling operations of vehicles in the container yard using teleoperation and/or autonomous operations. A remote support server controls remote support sessions associated with vehicles in the container yard to provide teleoperation support for loading and unloading operations. Aerial drones may be utilized to maintain positions above a teleoperated vehicle and act as signal re-transmitters. An augmented reality view may be provided at a teleoperator workstation to enable a teleoperator to control vehicle operations in the smart container yard.

Systems, methods, and other embodiments described herein relate to controlling a trailer without the presence of a physical connection. In one embodiment, a method includes in response to receiving a signal to initiate hitchless maneuvering of a trailer separately from a controlling vehicle, acquiring control inputs to maneuver the trailer from an input device within the controlling vehicle. The method includes communicating, from the controlling vehicle to the trailer, the control inputs to maneuver the trailer. The method includes in response to receiving feedback from the trailer indicating the trailer is within a requested position, sending a control signal to stop the trailer.

A method for improving performance of a local device based on guide data from a remote device, according to one embodiment of the present disclosure, includes transmitting, to the remote device, first image data generated by the local device at a first time point, receiving guide data related to the first image data from the remote device, and registering, by a processor, the guide data to second image data generated by the local device at a second time point, based on first spatial information on the first image data, wherein the second time point is a time point that is after the first time point. A trained model for object recognition according to the present disclosure may include a deep neural network generated through machine learning, and the transmitting of the guide data may be performed in an Internet of Things (IoT) environment using a 5G network.

There is provided a server and a system capable of enabling an operator of a remote operating device to recognize which remote operating device remotely operates a work machine displayed on an output interface constituting the remote operating device. For example, a first work environment image indicating a situation of a work site acquired through an image pickup device 412 loaded on a work machine 40 is outputted on an output interface 220 constituting each of a plurality of remote operating devices 20.