An example display system for a commercial vehicle includes a camera configured to record images of a blind spot of the commercial vehicle and a wearable augmented reality display device that includes an electronic display and is configured to be worn on the head of a driver of the commercial vehicle. An electronic control unit is configured to display graphical elements on the electronic display that depict at least one of portions of the recorded images and information derived from the recorded images. A method of displaying graphical elements is also disclosed.

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.

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.

A paver, in particular a slipform paver, has a machine frame supported by front and rear undercarriages and a paving device for the paving of material. The paver is provided with an apron monitoring device for generating elevation profile data or elevation profile signals describing the elevation profile of the material deposited in the apron of the paving device in a direction transverse to the working direction. A data or signal processing device receives the elevation profile data or signals. The apron monitoring device provides the data needed to allow the material to be spread more evenly across the working width of the paver during the feeding operation by means of a spreading device for spreading the material to be paved in a direction transverse to the working direction and/or to allow the spreading device to be controlled for improved spreading of the material after the paver has been fed.

The invention relates to a method for providing an image representation (15) of an environment (7) of a vehicle (1), wherein the environment (7) of the vehicle (1) is captured at least partly, an image representation (15) of at least one first part (10a) of the captured environment (7) is provided within a defined viewport (10) from a defined perspective (11), wherein the image representation (15) includes a vehicle representation (14) representing the vehicle (1), and wherein the image representation (15) is displayed on a display device (12). Further, when providing the image representation (15) at least one second part (16a) of the captured environment (7) is represented in form of a mirrored image (18) of the at least one second part (16a) of the environment (7) on a defined region (17, 19, 20) of the vehicle representation (14).

A road abnormality detection apparatus includes: a memory; and a processor having hardware, wherein the processor is configured to: receive, from a traveling vehicle, a road image indicating an image of a surface of a road or a periphery of the road and image capturing position information indicating a position where the road image is captured; recognize a road facility included in the road image and a position of the road facility based on the road image and the image capturing position information; determine whether or not abnormality exists in the road facility by comparing the road facility included in the road image and correctness information that is prepared in advance; and accumulate, in the memory, facility position information indicating the position of the road facility that the abnormality exists in when it is determined that the abnormality exists in the road facility.

A vehicular vision system includes an image processor and a camera that views through the windshield of the vehicle. The camera captures image data as the vehicle travels along a road, and the image processor processes image data captured by the camera. The vehicular vision system, responsive at least in part to processing by the image processor of image data captured by the camera, determines when the vehicle is at a construction zone. Responsive to determining that the vehicle is at the construction zone, the vehicular vision system adjusts a vehicular driver assistance system of the vehicle. The vehicular vision system determines that the vehicle exits the construction zone based at least in part on processing by the image processor of image data captured by the camera.

A fill control system on a harvester detects that a receiving vehicle is to be repositioned relative to the harvester. The fill control system generates a signal indicative of how the receiving vehicle is to be repositioned relative to the harvester. The harvester sends the signal to a mobile device that is remote from the harvester. A mobile device receives an indication from a fill control system on a harvester that indicates how a receiving vehicle is to be repositioned relative to the harvester. The mobile device controls a user interface mechanism to generate an output indicating how the receiving vehicle is to be repositioned relative to the harvester.

In some implementations, an adverse environment detection system may receive an image of a road scene associated with a vehicle. The adverse environment detection system may determine a set of features associated with the image based on providing the image to an initial portion of a model. The adverse environment detection system may determine a first condition associated with the image based on providing the set of features to a first processing layer of the model, a second condition associated with the image based on providing the set of features to a second processing layer of the model, and a third condition associated with the image based on providing the set of features to a third processing layer of the model. The first processing layer, the second processing layer, and the third processing layer may process the set of features in parallel.

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.