The disclosure is generally directed to systems and methods associated with generating images. An example method executed by a processor may include receiving, from a first vehicle, a first image based on a first field of view of objects located in a cabin area of the first vehicle and a second image based on a second field of view of objects located outside the first vehicle. The method may further include receiving, from a second vehicle, a third image based on a third field of view of objects located outside the second vehicle. A composite image may be generated based on the first image, the second image, and the third image. In one case, the composite image may be generated by superimposing at least a portion of the first image upon at least a portion of the second image and/or upon at least a portion of the third image.

Systems and methods for receiving a video feed from a trailer control module disposed in a vehicle trailer are described. One method includes aggregating a trailer front view, a trailer rear view, a trailer left view, and a trailer right view into an aggregated birds-eye view at a first control module disposed on the trailer, and sending the aggregated view to a vehicle towing the trailer via a single auxiliary video channel integrated into a trailer hitch wiring harness. The method further includes receiving the feed of the birds-eye view at the second control module disposed in the vehicle via the single auxiliary camera input channel, and displaying the trailer birds-eye view video feed at an output display disposed in a cabin of the towing vehicle. The birds-eye view may be output on a split screen in conjunction with a rear-view of the trailer, obtained from a vehicle camera system.

A method and system for generating an augmented machine view. The augmented machine view may include a dynamic virtual machine model representing an actual working machine, overlayed with camera footage from around the working machine. The dynamic virtual machine model may be synched in time with the camera footage. The system for generating the augmented machine view may include cameras mounted on the actual machine and machine sensors monitoring the position and movements of individual components of the machine.

A hub that receives sensor data streams and then distributes the data streams to the various systems that use the sensor data. A demultiplexer (demux) receives the streams, filters out undesired streams and provides desired streams to the proper multiplexer (mux) or muxes of a series of muxes. Each mux combines received streams and provides an output stream to a respective formatter or output block. The formatter or output block is configured based on the destination of the mux output stream, such as an image signal processor, a processor, memory or external transmission. The output block reformats the received stream to a format appropriate for the recipient and then provides the reformatted stream to that recipient.

A method for operating a vehicle crane having a lower chassis with boom supports and having an upper chassis with a counterweight in which a live view of the surroundings of the vehicle crane is displayed to the driver. To provide a possibility of operating the vehicle crane that permits safe and simplified manuvering and use, the live view is created at least by way of cameras arranged on the lower chassis, markings indicating the movement ranges of the boom supports and the pivot range of the upper chassis are superimposed to scale on the live view, where the markings are hard-programmed crane-specific overlays and the live view is a crane-specific view that is calibrated with regard to dimensions.

A periphery display control device includes: an image acquisition unit acquiring captured image data obtained by imaging a periphery of an own vehicle; a target acquisition unit acquiring a target position to which the own vehicle moves; an image generation unit generating a virtual viewpoint image while moving, based on a relative angle of the target position with respect to a movement direction of the own vehicle when moving to the target position, at least one of a virtual viewpoint set at a position facing the target position across the own vehicle and a gazing point when facing an area including at least one of the own vehicle and the target position from the virtual viewpoint in a state where a distance between and heights of the virtual viewpoint and the gazing point are maintained; and an output unit outputting the virtual viewpoint image to a display device.

Disclosed is a method of displaying content on a glass window of a vehicle, including capturing sight information of surrounding scenery of the vehicle during a first time period, by using at least one first image capturing device, identifying a request for displaying content related to the sight information from a user during a second time period after the first time period, and displaying the content related to the sight information on the glass window of the vehicle based on the request.

A marine vessel display device includes an imager that images surroundings of a vessel body, an image processor that generates a bird's-eye view image based on images captured by the imager, a display provided in the vessel body and that displays the bird's-eye view image, and a controller. The controller is configured or programmed to perform a control to switch an image displayed on the display from the bird's-eye view image to an object image obtained by imaging in a direction toward an object from the vessel body based on object information.

A 360-degree vehicle video surveillance system is described. In some implementations, the system can include a control unit having a processor coupled to a nontransitory computer readable medium having stored thereon software instructions that, when executed by the processor, cause the processor to perform operations to control video surveillance operations, a data storage module coupled to the processor and configured to store video surveillance data, a position sensing module coupled to the processor and configured to electronically determine position of the system, and a data communications module coupled to the processor and configured to transmit video surveillance data to an external system. The system also includes one or more imaging modules coupled to the control unit, each imaging module including at least one video imaging sensor, an additional sensor, and a base configured to releasably attaching the imaging module to a vehicle.

A method for multi-camera self-supervised depth evaluation is described. The method includes training a self-supervised depth estimation model and an ego-motion estimation model according to a multi-camera photometric loss associated with a multi-camera rig of an ego vehicle. The method also includes generating a single-scale correction factor according to a depth map of each camera of the multi-camera rig during a time-step. The method further includes predicting a 360° point cloud of a scene surrounding the ego vehicle according to the self-supervised depth estimation model and the ego-motion estimation model. The method also includes scaling the 360° point cloud according to the single-scale correction factor to form an aligned 360° point cloud.