An method for automatically panning a view for a commercial vehicle includes analyzing a portion of a first view at a first time to determine a position of a vehicle feature within the first view, wherein the first view is a subset of a second view, estimating an expected position of the vehicle feature in the first view at a second time subsequent to the first time, defining a region of interest centered on the expected position of the vehicle feature in the second view and analyzing the region of interest to determine an exact position of the vehicle feature at the second time, and determining a current trailer angle based on a position of the vehicle feature within the second view.

An assembly includes a liftgate having a frame and a body panel supported by the frame, the body panel defining a plurality of openings, the openings providing access to the frame. The assembly includes a first cover covering the plurality of openings of the body panel. The assembly includes a second cover supported by the first cover and defining a chamber therebetween. The assembly includes a sensor assembly supported within the chamber between the first cover and the second cover.

In a system (1) comprising construction machine (2), transport vehicle (3) with loading space (4) and image-recording device (5, 36), wherein the image-recording device (5, 36) is arranged at the construction machine (2) and aligned, as a minimum, also towards the loading space (4) of the transport vehicle (3), it is specified for the following features to be achieved: that a reception and display device (18) is arranged at or in the transport vehicle (3), wherein the data recorded by the image-recording device (5, 36) are transmitted to the reception and display device (18) by means of a transmission device (46) arranged at the construction machine (2).

The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.

A vehicular trailer assist system includes a rearward viewing camera viewing a trailer hitched at a fifth wheel hitch at a bed of the vehicle. With the trailer hitched to the vehicle, the vehicular trailer assist system transforms fisheye-view frames of image data captured by the rearward viewing camera into bird's-eye view frames of image data. The vehicular trailer assist system determines the fifth wheel hitch within a transformed bird's-eye view frame of image data. The vehicular trailer assist system warps the transformed bird's-eye view frame of image data, which includes (i) an X-axis that indicates change in a trailer angle of the trailer relative to the vehicle and (ii) a Y-axis that indicates distance from the fifth wheel hitch. The vehicular trailer assist system, using the X-axis of the warped transformed bird's-eye view frame of image data, determines the trailer angle of the trailer relative to the vehicle.

An image display device includes a camera configured to image a periphery of a vehicle, a controller configured to output an overhead image in which the vehicle is viewed from a viewpoint above the vehicle, the overhead image being obtained by synthesizing images captured by the camera, a display unit configured to display the overhead image output by the controller, and a sensor configured to detect an opened state of a door of the vehicle. The controller is configured to enlarge the overhead image and display the overhead image on the display unit, and cancel the enlargement of the overhead image in response to the detection of the opened state of the door of the vehicle by the sensor.

Aspects of the disclosure relate to determining perceptive range of a vehicle in real time. For instance, a static object defined in pre-stored map information may be identified. Sensor data generated by a sensor of the vehicle may be received. The sensor data may be processed to determine when the static object is first detected in an environment of the vehicle. A distance between the object and a location of the vehicle when the static object was first detected may be determined. This distance may correspond to a perceptive range of the vehicle with respect to the sensor. The vehicle may be controlled in an autonomous driving mode based on the distance.

The described positional awareness techniques employing visual-inertial sensory data gathering and analysis hardware with reference to specific example implementations implement improvements in the use of sensors, techniques and hardware design that can enable specific embodiments to provide positional awareness to machines with improved speed and accuracy.

The present disclosure relates to hinged engineering machinery, a panoramic surround-view system and a calibration method thereof. The hinged engineering machinery comprises at least two hinged structure segments sequentially connected by means of a hinged frame, wherein the at least two hinged structure segments comprise a first hinged structure segment, the first hinged structure segment comprising a first vehicle body and a cab arranged on the first vehicle body. The panoramic surround-view system comprises: a plurality of photographing devices, mounted on the first hinged structure segment and configured to photograph the environment around the hinged engineering machinery; an image processing device, configured to receive images photographed by the plurality of photographing devices and splice the images into a surround-view image around the entire first hinged structure segment; and a human-computer interaction component, configured to display the surround-view image spliced by the image processing device.

A method of checking wing position in a CMS includes performing a calibration of a wing position supporting a camera relative to a vehicle to provide a desired field of view by capturing multiple images at different lighting conditions, extracting and storing a reference feature from each of the multiple images, triggering a wing position check, capturing a current image from the camera having a current position of the reference feature; sensing a current lighting condition at which the current image is captured, determining that one of the different lighting conditions is more similar to the current lighting condition, comparing the current position of the reference feature to the stored reference feature from the one of the multiple images generated under the one of the different lighting conditions, and outputting a result of the wing position check if a difference from the comparing step exceeds a threshold value.