A trailer angle detection system and method of detecting a trailer of a vehicle including a wide-angle camera and a controller. The controller is configured to receive a signal from the wide-angle camera representative of an area behind the vehicle. The controller transforms the signal into a top-down image. The controller determines a first plurality of values. Each of the first plurality of values is indicative of an amount of symmetry in a region of the top-down image. The controller determines a second plurality of values. Each of the second plurality of values is indicative of how closely a shape in the top-down image matches a predetermined shape. Then, the controller determines an estimate of an articulation angle based on the first plurality of values and the second plurality of values. Then controller performs an automated vehicle maneuver based on the estimate of the articulation angle.

A working vehicle periphery monitoring system includes: image capturing devices attached to a working vehicle with a vessel and capturing the periphery of the working vehicle to output image information; a bird's eye image synthesizing unit synthesizing the image information to generate a bird's eye image information for displaying bird's eye images of the working vehicle and the periphery thereof; and a display control unit displaying at least one of a first bird's eye image obtained by superimposing a first vessel image including the vessel other than a part of the vessel at a rear side of the working vehicle on an area of the working vehicle in the bird's eye image and a second bird's eye image obtained by superimposing a second vessel image including all of the vessel on the area.

An image recording device for a vehicle includes: an image acquisition section configured to acquire a surroundings image in which vehicle surroundings have been captured; an image display section configured to display an overlaid image in a display region inside a vehicle cabin in a case in which a predetermined assisted driving condition has been satisfied, the overlaid image being configured by an assistance image overlaid on the surroundings image acquired by the image acquisition section; and an image recording section configured to record the overlaid image at a recording section during an assisted driving state in which the overlaid image is being displayed in the display region, and, in a case in which the assisted driving state is not in effect, record at the recording section an image that has been subjected to image processing including processing to render a state in which the assistance image is not visible.

A vehicle and a steering unit can improve safety. A vehicle includes a steering wheel and a touchpad disposed on the steering wheel. The vehicle enables control of a controlled apparatus by a gesture on the touchpad of the steering wheel upon detecting a predetermined pressure on the touchpad of the steering wheel and provides a tactile sensation from the touchpad in accordance with the gesture on the touchpad of the steering wheel.

An image generation device for referencing a correspondence relationship and generating a line-of-sight-converted image from a captured image of an in-vehicle camera mounted to a vehicle is provided. The image generation device includes a first region updating unit that, upon sensing deviation of at least one of the mounting position and the mounting angle of the in-vehicle camera and calculating a new mounting position and mounting angle, updates a correspondence relationship of a predetermined first region in the line-of-sight-converted image in accordance with the new mounting position and mounting angle, and a second region updating unit that, upon satisfaction of a predetermined updating condition after updating the correspondence relationship of the first region, updates the correspondence relationship for a second region in the line-of-sight-converted image in accordance with the new mounting position and mounting angle.

Techniques for road scene primitive detection using a vehicle camera system are disclosed. In one example implementation, a computer-implemented method includes receiving, by a processing device having at least two parallel processing cores, at least one image from a camera associated with a vehicle on a road. The processing device generates a plurality of views from the at least one image that include a feature primitive. The feature primitive is indicative of a vehicle or other road scene entities of interest. Using each of the parallel processing cores, a set of primitives are identified from one or more of the plurality of views. The feature primitives are identified using one or more of machine learning and classic computer vision techniques. The processing device outputs, based on the plurality of views, result primitives based on the plurality of identified primitives from multiple views based on the plurality of identified entities.

Examples of techniques for road feature detection using a vehicle camera system are disclosed. In one example implementation, a computer-implemented method includes receiving, by a processing device, an image from a camera associated with a vehicle on a road. The computer-implemented method further includes generating, by the processing device, a top view of the road based at least in part on the image. The computer-implemented method further includes detecting, by the processing device, lane boundaries of a lane of the road based at least in part on the top view of the road. The computer-implemented method further includes detecting, by the processing device, a road feature within the lane boundaries of the lane of the road using machine learning.

A display control device includes: an image acquisition unit configured to acquire captured image data from an imaging unit that captures an image of a peripheral area of a vehicle; a display control unit configured to cause image data based on the captured image data to be displayed on a screen; and an operation receiving unit configured to receive designation of an arbitrary point on the screen, in which the display control unit enlarges display on the screen about the designated point as a center of enlargement in a state where a display position of the designated point does not move on the screen when the operation receiving unit receives the designation of the arbitrary point on the screen.

Embodiments are disclosed for shifting a road view of a display for a vehicle. For one embodiment, a system determines a vehicle has come to a standstill. Upon determining that the vehicle has come to a standstill, the system automatically shifts a display of a first view for the vehicle to a second view. The system determines the vehicle is in motion after being in a standstill. Upon determining that the vehicle is in motion after being in a standstill, the system automatically shifts a display of the second view for the vehicle back to the first view. For one embodiment, the first view includes a third-person view and the second view includes an overhead view.

A three-dimensional object detection device includes an image capturing unit, an image conversion unit, a three-dimensional object detection unit, a three-dimensional object assessment unit and a control unit. The image conversion unit converts a viewpoint of the images obtained by the image capturing unit to create bird's-eye view images. The three-dimensional object detection unit detects a presence of a three-dimensional object within the predetermined detection area by vehicle width direction detection processing. The three-dimensional object assessment unit assesses whether the three-dimensional object detected is another vehicle that is present within the predetermined detection area. The control unit suppresses assessment by the three-dimensional object assessment unit that the three-dimensional object is a vehicle when a specified detection position has moved rearward within the detection area in a host vehicle progress direction and arrived at a predetermined position in the host vehicle progress direction within the detection area.