Methods and systems are provided for a fluid leak diagnostic. In one example, a method may include intrusively increasing a fluid pump displacement to determine if an internal fluid leak is occurring. The method may further include adjusting a parking routine to determine if an external fluid leak is occurring.

A road machine includes a hopper, a screed, a measuring unit configured to measure an amount of pavement material inside the hopper or pavement material held in front of the screed, and a display device disposed in an operator's seat and configured to display the amount of pavement material measured by the measuring unit.

An autonomous vehicle is configured to detect an active turn signal indicator on another vehicle. An image-capture device of the autonomous vehicle captures an image of a field of view of the autonomous vehicle. The autonomous vehicle captures the image with a short exposure to emphasize objects having brightness above a threshold. Additionally, a bounding area for a second vehicle located within the image is determined. The autonomous vehicle identifies a group of pixels within the bounding area based on a first color of the group of pixels. The autonomous vehicle also calculates an oscillation of an intensity of the group of pixels. Based on the oscillation of the intensity, the autonomous vehicle determines a likelihood that the second vehicle has a first active turn signal. Additionally, the autonomous vehicle is controlled based at least on the likelihood that the second vehicle has a first active turn signal.

A camera calibration method includes obtaining a plurality of images of surroundings of a vehicle captured by a plurality of cameras, setting a region of interest (ROI) in each of the images, detecting one or more feature points of the set ROIs, matching a first feature point of a first ROI and a second feature point of a second ROI based on the detected feature points, calculating a first bird-view coordinate of the first feature point and a second bird-view coordinate of the second feature point, and calibrating the cameras by adjusting an extrinsic parameter of each of the cameras based on an error between the first bird-view coordinate and the second bird-view coordinate.

The invention relates to a housing (102) for a mobile traffic monitoring device (104), wherein the housing (102) can be coupled to a carrier vehicle (200) via a fastening interface (108), and wherein the housing (102) is designed as a luggage transport rack.

A system for efficient video browsing includes an interface and a processor. The interface is configured to receive marks for a video, where marks for a video are determined based at least in part on trigger inputs. The processor is configured to determine whether to enter an efficient video browsing mode; and in response to determining to enter the efficient video browsing mode: retrieve a portion of the video based at least in part on the marks; and cause displaying of the portion of the video.

An image processing unit repeatedly acquires a captured bird's-eye image which is obtained by bird's-eye conversion of a captured image of the surroundings of a vehicle. An image processing unit acquires a history image that is a bird's-eye image corresponding to a predetermined area in front in the traveling direction at each timing determined according to a predetermined condition. The image processing unit acquires a history image at every predetermined first cycle if an unstable condition related to a behavior of the vehicle is not satisfied. If an unstable condition is satisfied, the history image is acquired at a later timing than the first cycle. The image processing unit creates a bird's-eye image for display by extracting an area corresponding to a non-imaging area of the latest captured bird's-eye image from among the accumulated history images, and combining the extracted area with the non-imaging area.

Identification and guidance systems configured to facilitate vehicle management in logistics yards or the like are described. The systems can include an identification and guidance (I/G) unit attached to each transport vehicle within the logistics yard. The I/G unit transmits information (e.g., location and guidance information) over a wireless network to a remote controller. The remote controller can transmit relevant information received from the I/G unit to a portable communications device associated with the transport vehicle to which the I/G unit is mounted. For example, the portable communications device may be located in a tractor being used to maneuver the transport vehicle about the logistics yard so that the driver can use the information displayed on the portable communications device to assist with maneuvering the transport vehicle. Related methods are also described.

A vehicular driver assistance system includes a camera that views through the windshield of the vehicle and a control device having an image processor that processes captured image data. Responsive to processing of captured image data by the image processor, the system adjusts a light beam emitted by a headlamp of the vehicle. The control device, responsive at least in part to image data processing by the image processor, determines when the vehicle is at a construction zone. Responsive to determination that the vehicle is at a construction zone, image processing of image data captured by the camera is adjusted to discriminate construction zone signs from taillights of leading vehicles. Responsive to determination of the vehicle exiting the construction zone, the control device adjusts the light beam emitted by the headlamp of the vehicle responsive to determination of headlamps of approaching vehicles and taillights of leading vehicles.

A method for providing outputs to receivers of a vehicular vision system includes disposing a camera at a vehicle and disposing an LVDS repeater device at the vehicle. The LVDS repeater device includes a de-serializer, a repeater and at least two serializers. The LVDS repeater device is powered at least in part via power-over-coax from a head unit or ECU of the vehicle. The camera captures image data and outputs an LVDS camera output. The LVDS camera output is received at the LVDS repeater device and is de-serialized via the de-serializer. The de-serialized LVDS camera output is provided to the repeater and at least two outputs are provided to the serializers and are serialized. The serializers each output a respective LVDS repeater output to a respective receiver of the vehicle. The receivers include a receiver of respective ones of the vehicle head unit and the ECU.