Abstract: An image acquisition unit acquires camera images obtained by cameras, which are configured to photograph a periphery of the vehicle. An image synthesizing unit projects data of the camera images on a virtual projection surface, which corresponds to the periphery of the vehicle, and forms a synthetic image showing the periphery of the vehicle, which is viewed from a virtual view point, by using the data projected on the projection surface. A travelling-environment determination unit determines whether a travelling environment of the vehicle is an off-road or an on-road based on a signal from an other on-board device of the vehicle. The image synthesizing unit is configured to change a shape of the projection surface, which is for forming the synthetic image, according to whether the travelling-environment determination unit determines that the travelling environment is an off-road.

Abstract: The camera assembly (50) comprises: —a supporting arm (51) having a main axis (A51), said supporting arm (51) including a first portion (41) and a second portion (42), the first portion (41) having a first end (53) provided with a mounting device (54) for mounting on a vehicle cab and a second end (57) coupled to the second portion (42); —a camera (52) arranged on said second portion (42) of the supporting arm (51), for providing an image of a surrounding area. The first portion (41) and the second portion (42) of the supporting arm (51) are coupled via coupling means (45) which are configured so that the second portion (42) can move relative to the first portion (41) between: —a first operative position, in which the camera (52) is adapted to provide an image of a first surrounding area; —and a second operative position, in which the camera (52) is adapted to provide an image of a second surrounding area distinct from the first surrounding area.

Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices associated with the motion prediction and operation of a device including a vehicle are provided. For example, a vehicle computing system can access state data including information associated with locations and characteristics of objects over a plurality of time intervals. Trajectories of the objects at subsequent time intervals following the plurality of time intervals can be determined based on the state data and a machine-learned tracking and kinematics model. The trajectories of the objects can include predicted locations of the objects at subsequent time intervals that follow the plurality of time intervals. Further, the predicted locations of the objects can be based on physical constraints of the objects. Furthermore, indications, which can include visual indications, can be generated based on the predicted locations of the objects at the subsequent time intervals.

Abstract: The present disclosure relates to a method for the automatic transverse guidance of a following vehicle in a vehicle platoon. The method comprises determining and receiving a plurality of lane data. A lane course is able to be determined on the basis of the plurality of lane data and the following vehicle is able to be transversely guided on the basis of the determined lane course. The method is able to prevent an increase in swaying movements from the front to the rear in the vehicle platoon. In addition, the vehicles of the vehicle platoon are able to remain in the starting lane, even when a vehicle of the vehicle platform driving in front changes lane.

Abstract: A device includes a communications interface that receives sensor data sensed by a plurality of sensors sensing an environment of a vehicle. The device includes a processor and a memory including instructions that when executed by the processor, cause the processor to access a first timestamp, a second timestamp, and a third timestamp of a sensor signal from a selected sensor of a plurality of sensors. The instructions cause the processor to calculate a first midpoint between the first timestamp and the second timestamp, calculate a second midpoint between the second timestamp and the third timestamp, create a first data bucket for at least some of the sensor data based on the first and second midpoints, generate a data structure using the first data bucket, and store the data structure in a storage system.

Abstract: An information processing device that receives, from each of several vehicles, both image information captured by an image capture device installed at the vehicle, and vehicle information including position information on the vehicle; performs image processing identifying a characteristic of a dangerously-driven vehicle based on the image information; and in a case in which a dangerously-driven vehicle has been detected, modifies a priority level for image processing of the image information received from another vehicle in the vicinity of a vehicle that has detected the dangerously-driven vehicle, so as to be higher than for a vehicle not in the vicinity of the vehicle that has detected the dangerously-driven vehicle.

Abstract: Computer-implemented methods and systems for processing recorded data for storage is provided. An auditable device, such as a digital video camera, stores a set of recorded data. The auditable device also stores auditable event entries that represent auditable events detected by the auditable device. One type of auditable event is the receipt of information from a computer-aided dispatch (CAD) system that indicates an event. The auditable device marks at least one subset of the set of recorded data based on the auditable event entries, and uploads the marked at least one subset of the set of recorded data to an evidence management system.

Abstract: A system, including a processor and a memory, the memory including instructions to be executed by the processor to determine camera calibration parameters including camera focal distance, camera height and camera tilt based on a two-dimensional calibration pattern located parallel to and coincident with a ground plane determined by a roadway surface and determine object data including object location, object speed and object direction for one or more objects in a field of view of the video camera.

Abstract: A method for generating a three-dimensional (3D) lane model, the method including calculating a free space indicating a driving-allowed area based on a driving image captured from a vehicle camera, generating a dominant plane indicating plane information of a road based on either or both of depth information of the free space and a depth map corresponding to a front of the vehicle, and generating a 3D short-distance road model based on the dominant plane.

Abstract: A cruise-assist image generation device includes: a steering-angle information acquisition unit acquiring steering angle information of a steering wheel; an additional line generation unit generating a cruise assist additional line corresponding to the acquired steering angle information and formed by combination of a given number of segments; and an additional line superimposing unit superimposing the generated cruise assist additional line on a taken image of the vehicle periphery to obtain a composite image.

Abstract: According to an embodiment, a surroundings recognition device includes an acquirer configured to acquire first road information including a road boundary near a host vehicle from map information on the basis of position information of the host vehicle, a recognizer configured to recognize a road boundary near the host vehicle on the basis of an output of an external environment sensor, and a determiner configured to determine that a first road boundary matches a second road boundary when the second road boundary included in second road information that is a recognition result of the recognizer is within a road boundary determination area based on a position of the first road boundary included in the first road information acquired by the acquirer. The determiner sets a size of the road boundary determination area on the basis of a predetermined condition.

Abstract: A front bumper assembly including a vehicle camera relocation mount disposed within a front wall in a manner that leaves no visible sign of a mounting bracket configuration for the vehicle camera. Another front bumper assembly includes a central opening with a removable metal grill insert. The removable metal grill insert configured to connected with the front bumper in a manner that leaves no visible sign of its mounting configuration.

Abstract: A controlled intersection employs video analytics to identify incoming vehicles coupled with autonomous driving capabilities in the vehicle to selectively provide intervention for collision avoidance. A camera image of an approaching vehicle is used to identify a range and speed, and to compute whether intervention is appropriate based on a detected distance and speed from the intersection. A vehicle approaching a stop signal (e.g. “red light”) at an unsafe rate of speed triggers an invocation of on-board autonomous systems in the vehicle that provide appropriate warnings and ultimately, forced braking if warnings go unheeded. A registration system maintains a local grouping of vehicles in proximity to an intersection for minimizing latency in vehicle identification for commencing intervention. In this manner, on-board vehicle collision avoidance systems collaborate with complementary traffic control logic at a controlled intersection for preventing inadvertent or intentional disregard of a red signal.

Abstract: An abnormality determination apparatus is mounted on a vehicle. A person is identified in a captured image acquired from a camera that captures a range including a driver seat of the vehicle. It is determined whether a person other than the driver of the vehicle is present in an operable range set as a range in which a steering wheel of the vehicle is enabled to be operated, based on a result from identifying a person. An abnormality process assuming that the driver of the vehicle is in an abnormal state is executed in response to determining that the person other than the driver is present in the operable range.

Abstract: Vehicle parking monitoring systems and methods are disclosed herein. An example method can include receiving images from a camera of a parking spot, each of the images being time stamped, determining presence of a vehicle in the images, placing a bounding area around a region of interest of the vehicle, the region of interest including no personally identifiable information, retaining the bounding area and discarding a remainder of the images, and determining when the vehicle is no longer present based on a change in the bounding area of the images.

Abstract: The present invention discloses an around view synthesis system, including: a plurality of cameras each mounted in a vehicle to capture respective different areas around the vehicle; a boundary setting unit setting a synthesis boundary of images captured in an overlapping region where images captured by the plurality of cameras are overlapped; and an image synthesizer receiving the images captured by the plurality of cameras and synthesizing the received images according to the synthesis boundary set by the boundary setting unit.

Abstract: A processor-implemented vehicle controlling method includes: determining whether an object in a vehicle is a living object based on radio detection and ranging (radar) information received from a radar sensor; in response to a determination that the object is a living object, determining bioinformation of the object based on the radar information; and adjusting a temperature in the vehicle based on the bioinformation and temperature information received from a temperature sensor.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring vehicles traversing a dedicated roadway that includes an at-grade crossing. In some implementations, a system includes a central server, a gate system, and sensors. The gate system provides access to an at-grade crossing for vehicles. The sensors are positioned in a fixed location relative to a roadway, the roadway including the at-grade crossing. Each sensor can detect vehicles on the roadway. For each vehicle, each sensor can generate sensor data and observational data from the generated sensor data. Each sensor can determine a likelihood that the detected vehicle will approach the at-grade crossing by comparing the likelihood to a threshold. In response, each sensor can transmit data to the gate system that causes the gate system to allow the autonomous vehicle access to the at-grade crossing prior to the autonomous vehicle reaching the gate system.

Abstract: A vehicle rearview warning system has a rearview-mirror monitor, a front image-capturing device outputting a front driving image, a rear image-capturing device outputting a rear driving image, and an edge computing device signally connected to the rearview-mirror monitor, the front image-capturing device, and the rear image-capturing device. The edge computing device receives the front driving image and the rear driving image respectively, recognizes a vehicle object from the front driving image or the rear driving image, and determines whether to activate the rearview-mirror monitor to display a warning image according to the vehicle object.

Abstract: An alert apparatus sets a determination area which is at a turning direction side of an own vehicle with respect to a longitudinal direction line of the own vehicle and extends forward from the own vehicle or from near the own vehicle when an angle condition that a moving direction angle corresponding to an angle defined by a longitudinal direction line of the own vehicle and a moving direction of an approaching vehicle is within a predetermined angle range, is satisfied. The alert apparatus sets the determination area which is at the turning direction side of the longitudinal direction line and away forward from the own vehicle by a predetermined distance when the angle condition is not satisfied.

Abstract: A vehicular camera includes an imager printed circuit board and a lens having a plurality of optical elements. The lens is held in optical alignment with an imager at the imager printed circuit board via a dual cure one-part, filled adhesive that in its uncured state has an epoxy resin. The adhesive is both UV-curable and thermal-curable. A flexible electrical ribbon cable electrically connects circuitry of the imager printed circuit board with additional circuitry of the vehicular camera. Image data captured by the imager is provided to the additional circuitry of the vehicular camera via the flexible electrical ribbon cable. The additional circuitry includes at least a processor for processing image data captured by the imager and provided to the additional circuitry via the flexible electrical ribbon cable. The vehicular camera, when installed and used in a vehicle, captures image data for use by a vision system of the vehicle.

Abstract: An apparatus including a capture device and one or more sensors. The capture device may be configured to operate in a standby mode of operation until a wakeup signal is received and operate in video capture mode of operation in response to the wakeup signal. The sensors may each be configured to detect a trigger condition and communicate the wakeup signal in response to detecting the trigger condition. The capture device may be configured to consume a first amount of power in the standby mode of operation and a second amount of power in the video capture mode of operation. The first amount of power may be less than the second amount of power. The capture device may be configured to generate pixel data in the video capture mode of operation. Each of the sensors may be remotely located on a vehicle with respect to the capture device.

Abstract: A monitoring device receives an image captured by an image capturing device mounted on a vehicle. The monitoring device performs a monitoring process for a preset monitoring range based on the captured image received from the image capturing unit. The monitoring device displays a plurality of menus indicating different monitoring ranges on a display device, and sets a monitoring range corresponding to a menu selected by the user from the plurality of menus as the monitoring range in the monitoring process.

Abstract: A vehicular vision system includes a plurality of cameras and an ECU. The cameras are in communication with one another via a vehicle network and image data captured by the cameras is provided to the ECU. Responsive to a type of driving maneuver of the vehicle, (i) the ECU generates a first control signal that enables automatic control of exposure, gain and white balance of one camera of the plurality of cameras and (ii) the ECU generates respective second control signals that disable automatic control of exposure, gain and white balance of at least one other camera of the plurality of cameras. Responsive to processing of captured image data, composite video images derived from image data captured by the plurality of cameras are synthesized, and composite images are displayed that provides bird's eye view video images derived from video image data captured by the cameras.

Abstract: This camera monitoring system (20) is intended for providing to a user a view of a scene captured by a camera. To that end, the camera monitoring system (20) comprises a wide angle camera (22A, 22B) for capturing a wide angle image of a scene, a determination unit (28) for determining an area of interest in the scene, an image treatment system (24A, 24B) for providing an undistorted portion, including the area of interest, of the wide angle image, and a display (26A, 26B) for displaying a continuous displayed image of the wide angle image. The displayed image comprises the undistorted portion adjoining at least one distorted portion of the wide angle image.

Abstract: A vehicular vision system includes a camera disposed at an in-cabin side of a windshield of a vehicle and viewing forward of the vehicle. The vehicular vision system, responsive at least in part to image processing of multiple frames of captured image data, detects an object present exterior of the vehicle that is moving relative to the vehicle. The system, when the vehicle is moving, and based at least in part to received vehicle motion data indicative of motion of the vehicle when the vehicle is moving and image processing of multiple frames of captured image data, (i) estimates object trajectory of the detected object based at least in part on corresponding object features present in multiple frames of image data captured by the camera and (ii) determines motion of the detected object relative to the moving vehicle based on the estimated object trajectory.

Abstract: A vehicle of the disclosure includes an apparatus for assisting driving of a host vehicle. The apparatus for assisting driving of the host vehicle includes a display configured to display vehicle driving information; an image obtainer configured to obtain an image of a road; a distance detector configured to detect surrounding objects; and a controller configured to calculate notification information based on the obtained image information of the road, the detected surrounding objects, and the vehicle driving information, and to display the calculated notification information to a driver in real time.

Abstract: Using detection of low variance regions for improving detection is described. In an example, sensor data can be received from a sensor associated with a vehicle. The sensor data can represent an environment. An indication of a low variance region associated with the sensor data can be determined and an indication of a high variance region associated with the sensor data can be determined based at least in part on the indication of the low variance region. The vehicle can be controlled based on at least one of the sensor data or the indication of the high variance region.

Abstract: A vehicular camera includes a lens holder, a plurality of printed circuit boards and a housing portion. The individual printed circuit boards are stacked and overlap one another. Circuitry disposed at a first printed circuit board is electrically connected with circuitry disposed at a second printed circuit board via board-to-board electrical connection. The first side of the first printed circuit board is adhesively bonded to the lens holder via cured adhesive. Thermally conductive material is disposed between and is in thermally-conductive contact with the first printed circuit board and the second printed circuit board. A first electrical connector is disposed at the second printed circuit board and electrically connects with a second electrical connector of an electrical connector portion of the housing portion as the housing portion is being joined with the lens holder to encase the plurality of printed circuit boards during assembly of the vehicular camera.

Abstract: Low variance detection training is described herein. In an example, annotated data can be determined based on sensor data received from a sensor associated with a vehicle. The annotated data can comprise an annotated low variance region and/or an annotated high variance region. The sensor data can be input into a model, and the model can determine an output comprising a high variance output and a low variance output. In an example, a difference between the annotated data and the output can be determined and one or more parameters associated with the model can be altered based at least in part on the difference. The model can be transmitted to a vehicle configured to be controlled by another output of the model.

Abstract: A vehicle control system includes a control device configured to execute automatic driving control of a vehicle; an image capturing device configured to capture a surrounding image of the vehicle; and a recording device configured to record the surrounding image. The control device includes: a function classifying unit configured to classify functions of the automatic driving control into a first automatic driving function and a second automatic driving function; a state determining unit configured to determine whether the recording device is in a recordable state; and a function restricting unit configured to permit use of the first automatic driving function in a case where the state determining unit determines that the recording device is in the recordable state, and to prohibit the use of the first automatic driving function in a case where the state determining unit determines that the recording device is not in the recordable state.

Abstract: The present invention relates to a lighting system 200 of an automotive vehicle comprising: —an image capture device (205) configured to acquire an image (I) of a road (R) of travel of the vehicle, said road (R) comprising lanes marked on the road (110); —a lighting module (215) configured to project road markings on the road (120); wherein said lighting system (200) is configured to filter the projected road markings (120) on the road compared to the lanes marked (110) on the road.

Abstract: A control apparatus, a vehicle and a control method which improve user-friendliness of a technique for providing information to an interior or an exterior of a vehicle are provided. The control apparatus of the vehicle includes a controller which changes the degree of visibility between the exterior and the interior of the vehicle based on at least one of first information indicating a state of the exterior of the vehicle and second information indicating a state of the interior of the vehicle.

Abstract: A system and method for determining a traffic sign violation are provided. The method may include obtaining a traffic rule corresponding to the traffic sign. The method may further include acquiring, by at least one camera, video data associated with a scene around a traffic sign. The video data may include a series of frames. The method may further include identifying the vehicle in the series of frames and determining whether the vehicle violates the traffic rule based on the series of frames. In response to the determination that the vehicle violates the traffic rule, the method may further include obtaining information of the vehicle and transmitting the information of the vehicle to a server.

Abstract: An optically, aerodynamically and economically optimized and particularly wind-insensitive cleaning apparatus for cleaning a surface of a sensor apparatus of a vehicle with a fluid cleaning agent. The surface is delimited by an encircling outer edge which is arranged so as to be substantially flush with a surrounding outer surface region, and the cleaning apparatus includes a flow body for guiding a fluid stream flowing from the spray nozzle to the surface and flowing away from the surface, wherein the flow body at least sectionally adjoins the outer edge of the surface, in particular completely surrounds the outer edge, and, at the outer edge, an outer surface of the flow body is oriented so as to be substantially tangential to the adjoining surface.

Abstract: Various implementations include approaches for training a surface detection classifier and detecting characteristics of a surface, along with related micromobility vehicles. Certain implementations include a method including: comparing: i) detected movement of a micromobility (MM) vehicle or a device located with a user at the MM vehicle while operating the MM vehicle, with ii) a surface detection classifier for the MM vehicle; and in response to detecting that the MM vehicle is traveling on a restricted surface type for a threshold period, performing at least one of: a) notifying an operator of the MM vehicle about the travel on the restricted surface type, b) outputting a warning at an interface connected with the MM vehicle or the device, c) limiting a speed of the MM vehicle, or d) disabling operation of the MM vehicle.

Abstract: A teleoperations system may be used to selectively override conditions detected by an autonomous vehicle to enable the autonomous vehicle to effectively ignore detected conditions that are identified as false positives by the teleoperations system. Furthermore, a teleoperations system may be used to generate commands that an autonomous vehicle validates prior to executing to confirm that the commands do not violate any vehicle constraints for the autonomous vehicle. Still further, an autonomous vehicle may be capable of dynamically varying the video quality of one or more camera feeds that are streamed to a teleoperations system over a bandwidth-constrained wireless network based upon a current context of the autonomous vehicle.

Abstract: Provided are a method and a system for analyzing image data obtained by photographing a tunnel by a drone using artificial intelligence, in tunnel maintenance inspection, rapidly and accurately finding a part that requires maintenance of the tunnel, and calculating a maintenance solution and a maintenance estimate for the part. The system for maintaining a tunnel by analyzing tunnel image data received from a drone using artificial intelligence, includes: the drone that photographs a tunnel to generate the tunnel image data; a position signal generating apparatus that is provided inside the tunnel and generates a position signal for determining position information of the drone in the tunnel; and an artificial intelligence tunnel maintenance apparatus that finds a part of the tunnel that requires maintenance, and calculates an optimal maintenance solution and an optimal maintenance estimate necessary for the tunnel maintenance.

Abstract: Systems and methods for movement detection are provided. In one example embodiment, a computer-implemented method includes obtaining image data and range data representing a scene external to an autonomous vehicle, the image data including at least a first image and a second image that depict the scene. The method includes identifying a set of corresponding image features from the image data, the set of corresponding image features including a first feature in the first image having a correspondence with a second feature in the second image. The method includes determining a respective distance for each of the first feature and the second feature based at least in part on the range data. The method includes determining a velocity associated with a portion of a scene represented by the set of corresponding image features based at least in part on the respective distance for the first feature and the second feature.

Abstract: A control system for a machine includes a machine, a plurality of proximity sensors coupled to the machine, and a controller in communication with the plurality of proximity sensors. The controller is configured to activate and monitor proximity information from the proximity sensors during a containerization mode and indicate an alert if the proximity information is below a threshold distance.

Abstract: Techniques for context-aware identification of anomalies in civil infrastructure. A method includes applying an anomaly identification model to features extracted from visual content showing civil infrastructure in order to determine at least one anomalous portion shown in the visual multimedia content, a type of each anomalous portion, and a quantification of each anomalous portion; wherein the anomaly identification model is selected based on a type of material of the civil infrastructure; and generating a semantically labeled three-dimensional (3D) model based on the at least one anomalous portion and the type of each anomalous portion, wherein the semantically labeled 3D model includes anomalous points; wherein each anomalous point represents one of the at least one anomalous portion; wherein the anomalous points collectively define a pattern of the at least one anomalous portion; wherein each anomalous point is visually distinguished to indicate the quantification of the respective anomalous portion.

Abstract: Systems and methods to proactively adapt image sensor settings of an occupant monitoring system to accommodate ambient lighting changes are provided. The system may track current ambient light, track the driver, and predict upcoming changing lighting conditions. Sensors are used to predict when the ambient light will change and preemptively adjust to prevent dark or washout images. The sensor adjustment may be timed so that the adjustment is made just in time or concurrently with the change in ambient light conditions. The system may predict when the light on the occupant's face will change and proactively readjust the settings of the sensor to accommodate the changed lighting conditions.

Abstract: A parking assistance device includes a camera configured to capture a rear-view image of a vehicle, a plurality of sensors configured to sense an obstacle located around the vehicle, a controller configured to generate a parking guide line to guide the vehicle into a target parking space and assist a driver of the vehicle to park based on a separation distance between a predicted entrance trajectory corresponding to a steering angle of the vehicle and the parking guide line, and a display configured to match and display the rear-view image of the vehicle with the parking guide line.

Abstract: A method and apparatus for controlling a vehicle are provided. A lane in which a target vehicle is driving, and an object in a vicinity of the lane are detected from an image of surroundings of the target vehicle, a degree of danger of the object is evaluated, driving information of the target vehicle is determined based on the degree of danger, and the target vehicle is controlled based on the driving information.

Abstract: A driver-assisting system for an industrial vehicle comprising: a first camera mounted on a vehicle cab for viewing an area in front of the vehicle; an image processing unit operatively connected to said first camera for receiving image data from said first camera; a display unit operatively connected to said image processing unit for displaying image to a user based on said image data; a control unit operatively connected to said first camera for modifying operating parameters of said first camera; wherein the first camera is adapted to provide a wide-angle field of vision, and in that the field of vision of said first camera relative to the vehicle can be adjusted by the control unit.

Abstract: This disclosure relates to a system and method for detecting vehicle events. The system includes sensors configured to generate output signals conveying information related to the vehicle. The system detects a vehicle event based on the information conveyed by the output signals. The system selects a subset of sensors based on the detected vehicle event. The system captures and records information from the selected subset of sensors. The system transfers the recorded information to a remote server or provider.

Abstract: A vehicle occupant monitoring device for a vehicle is configured to monitor an occupant sitting on a seat provided in a vehicle and includes a light projector, an imaging device, and a processor. The light projector is configured to project light toward the occupant sitting on the seat. The imaging device is configured to capture an image of the occupant sitting on the seat. The processor is configured to control the light projector and the imaging device to capture the image of the occupant sitting on the seat. In a case where a collision of the vehicle is predicted, the processor causes the light projector to radiate intense light toward a head of the occupant to be imaged by the imaging device.

Abstract: An embodiment image recording device includes an image obtainer configured to obtain image information, a first sensor configured to detect first impact information, a communicator configured to receive second impact information transmitted from another device, and to communicate with a terminal, a controller configured to determine whether an impact has been applied to a side of a vehicle based on the first impact information and the second impact information, and in response to a determination that the impact has been applied to the side of the vehicle, to control the communicator to transmit the image information obtained by the image obtainer to the terminal, and a storage device configured to store the image information and event information in response to a control command from the controller.

Abstract: The present invention provides an image processing apparatus comprising: a first camera obtaining a true-color image by capturing a subject; a second camera spaced apart from the first camera and obtaining an infrared image by capturing the subject; and a control unit connected to the first camera and the second camera, wherein the control unit matches the true-color image and the infrared image and obtains three-dimensional information of the subject by using the matched infrared image in a region corresponding to the matched true-color image and a valid pixel.

Abstract: A vehicular vision system includes a camera and a repeater element at a vehicle. The repeater element is powered at least in part via power-over-coax and includes a de-serializer, a repeater and at least two serializers. The camera captures image data and outputs a camera output that includes serialized image data. The camera output is received at the repeater element and is de-serialized via the de-serializer to generate a de-serialized output. The de-serialized output is provided to the repeater and at least two repeater outputs are provided to the serializers. The serializers serialize the received repeater outputs to generate respective serialized outputs. The serializers each output the respective serialized output to a respective receiver of the vehicle. Each of the serialized outputs is representative of the serialized image data of the camera output received from the camera.