Power machines and loaders having doors with an integrated display that allows the display of information, such as gauges, user inputs, mapped obstacles, boundaries, etc., that allows the operator of the machine to see the displayed information closer to the line of sight with the work area. The display can show augmented reality information about a worksite.

An obstacle detection and notification system for a motorcycle. The system includes a forward looking camera and a backward looking camera mountable to the motorcycle and a processor in operable communication with the forward looking camera and the backward looking camera. The processor executes program instructions to execute processes including: receiving video from the of the forward looking camera and the backward looking camera, performing a computer vision and machine learning based object detection and tracking process to detect, classify and track obstacles in the video and to output detected object data and outputting directional audible, tactile or visual feedback, via an output system, to a rider of the motorcycle based on the detected object data.

An obstacle detection and notification system for a motorcycle. The system includes a forward looking thermal camera and a backward looking thermal camera mountable to the motorcycle and a processor in operable communication with the forward looking camera and the backward looking camera. The processor executes program instructions to execute processes including: receiving video from the of the forward looking camera and the backward looking camera, performing a computer vision and machine learning based object detection and tracking process to detect, classify and track obstacles in the video and to output detected object data and outputting audible, tactile or visual feedback, via an output system, to a rider of the motorcycle based on the detected object data.

An obstacle detection and notification system for a motorcycle. The system includes a forward looking camera and a backward looking camera mountable to the motorcycle and a processor in operable communication with the forward looking camera and the backward looking camera. The processor executes program instructions to execute processes including: receiving video from the of the forward looking camera and the backward looking camera, performing a computer vision and machine learning based object detection and tracking process to detect, classify and track obstacles in the video and to output detected object data, defining a blind spot region around one or more other vehicles using the detected object data, determining whether the motorcycle is located in the blind spot region, and outputting audible, tactile or visual feedback, via an output system, to a rider of the motorcycle when the motorcycle is determined to be located in the blind spot region.

An obstacle detection and notification system for a motorcycle. The system includes a forward looking camera and a backward looking camera mountable to the motorcycle and a processor in operable communication with the forward looking camera and the backward looking camera. The processor executes program instructions to execute processes including: receiving video from the of the forward looking camera and the backward looking camera, performing a computer vision and machine learning based object detection and tracking process to detect, classify and track obstacles in the video and to output detected object data, determining an approaching vehicle threat based on the detected object data, and outputting audible, tactile or visual feedback, via an output system, to a rider of the motorcycle indicating the approaching vehicle threat.

A bracket for a display assembly includes a body that has a first edge and a second edge that define a first surface and a second surface of the body. An elongated retention feature is coupled to the first edge of the body and defines an elongated slot proximate to the first surface of the body. A plurality of retention clips are coupled to the second edge of the body. Each of the plurality of retention clips define a slot proximate to the first surface of the body. At least one housing is coupled to the second surface of the body and defines locking apertures. At least one cap is selectively coupled to the at least one housing. The at least one cap defines locking features selectively disposed within the locking apertures that are defined by the at least one housing.

A vehicle includes one or more sensors arranged on at least one of a dashboard, a roof, and a center console of the vehicle, or one or more image capturing devices for capturing one or more images from a left side and a right side of the vehicle, an electronic control unit (ECU) configured to communicate with the one or more sensors or the one or more image capturing devices, and at least one of a morphing surface, a windshield display, and one or more displays configured to be controlled by the ECU, where the one or more sensors are arranged under a black panel surface.

An obstacle detection and notification system for a motorcycle. The system includes a forward looking camera and a backward looking camera mountable to the motorcycle and a processor in operable communication with the forward looking camera and the backward looking camera. The processor executes program instructions to execute processes including: receiving video from the of the forward looking camera and the backward looking camera, performing a computer vision and machine learning based object detection and tracking process to detect, classify and track obstacles in the video and to output detected object data, defining a blind spot region around one or more other vehicles using the detected object data, determining whether the motorcycle is located in the blind spot region, and outputting audible, tactile or visual feedback, via an output system, to a rider of the motorcycle when the motorcycle is determined to be located in the blind spot region.

A power consumption of a screen can be lowered while a motor vehicle is traveling, based on a line of vision of a user of the motor vehicle. An image of a surrounding area of the motor vehicle is captured, and a line of vision of the user of the motor vehicle is determined. The screen is switched to a normal mode of operation or a power-saving mode based on the determined line of vision. The power consumption of the screen in the power-saving mode is less than a power consumption of the screen in the normal mode of operation. The image of the surrounding area is displayed by use of the screen, at least while the screen is operated in the normal mode of operation.

An image acquisition unit acquires a captured image of surroundings of a work vehicle. A detection unit detects an obstacle around the work vehicle. A display control unit generates a signal for displaying an obstacle-identifying display at a position related to an obstacle having high detection accuracy among a plurality of obstacles detected in a region corresponding to the captured image when the plurality of obstacles is detected by the detection unit, the detection accuracy indicating a certainty of the obstacle.