A system on a chip (SoC) includes a digital signal processor (DSP) and a graphics processing unit (GPU) coupled to the DSP. The DSP is configured to receive a stream of received depth measurements and generate a virtual bowl surface based on the stream of received depth measurements. The DSP is also configured to generate a bowl to physical camera mapping based on the virtual bowl surface. The GPU is configured to receive a first texture and receive a second texture. The GPU is also configured to perform physical camera to virtual camera transformation on the first texture and on the second texture, based on the bowl to physical camera mapping, to generate an output image.

A method for determining misalignment of a vehicular camera includes equipping a vehicle with a vehicular vision system having an electronic control unit and a plurality of cameras disposed at the vehicle so that each camera has a respective field of view exterior of the vehicle. Responsive to processing at the electronic control unit of received vehicle data during driving of the vehicle, the vehicular vision system determines a vehicle motion vector during driving of the vehicle. Frames of image data captured by the plurality of cameras are processed to determine an object motion vector of a detected object based on positions of the detected object in frames of image data captured by the camera. The determined object motion vector is compared to the determined vehicle motion vector to determine via the vehicular vision system that the camera of the plurality of cameras is misaligned.

The present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle. More particularly, the present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle by comparing current image data to previously classified image data.

A vision system for a vehicle includes at least one camera disposed at a vehicle and having an image sensor operable to capture image data. A display is operable to display video images for viewing by a driver of the vehicle during normal operation of the vehicle. A first system on chip (SoC) receives captured image data and processes the received captured image data for machine vision. The first SoC, responsive to image processing of the received captured image data, generates an output for a driver assistance system of the vehicle. A second system on chip (SoC) receives captured image data and communicates the image data to the display.

A warning device according to the present invention includes an image acquisition unit configured to acquire an image group including a plurality of images taken in succession, a detection unit configured to perform detection of an object on each of images in the image group, a determination unit configured to compare detection results of the object in the image group in chronological order and determine a degree of movement of the object, and a warning unit configured to issue a warning in accordance with the determined degree of movement, wherein the image acquisition unit acquires a plurality of image groups respectively based on a plurality of filter characteristics and the determination unit compares corresponding images between the plurality of image groups and thereby selects an image with high detection accuracy for each time period, compares the selected images in chronological order, and determines the degree of movement of the object.

Embodiments of the present invention provide a display method for use in a vehicle. The method comprises: obtaining first and second images showing adjacent or overlapping regions external to the vehicle, the first and second images being captured at different points in time; obtaining (904) at least one image property for each of the first and second images; calculating (914) an image correction factor as a function of the at least one image property for each of the first and second images; adjusting (914) the appearance of the first image and/or the second image according to the calculated image correction factor; generating (908) a composite image from the first image or an adjust first image and the second image or an adjusted second image; and displaying at least part of the composite image; wherein for at least one of the first and second image, the at least one obtained image property is in respect of a group of images including the first or second image. A corresponding display apparatus, for use in a vehicle, to implement the method is also provided, along with a computer program product storing computer program code which is arranged when executed to implement the method and a vehicle including the apparatus.

The present technology relates to an image processing apparatus, an image processing method, and an image processing system enabling the presentation of more useful information. An image in a viewpoint direction corresponding to the state of an object is generated from a captured image. Alternatively, an image of the periphery of the object is captured at a wide angle, and then an image obtained by projecting a part of the wide-angle captured image thus obtained onto a plane in a viewpoint direction corresponding to the state of the object is displayed. For example, an image of the periphery of an object is captured at a wide angle, an image in a viewpoint direction corresponding to the state of the object is generated from the obtained captured image, and the generated image is displayed.

Various embodiments relate to sensing defects associated with a window. Furthermore, various embodiments relate to performing image processing to produce a corrected image of a scene based at least partly on data corresponding to the detected defects. In some examples, one or more lighting modules may be used to illuminate the window to facilitate detection of the defects by one or more sensor devices.

A measurement controller (20): computes the position of a plane (S1) representing a side surface of a work implement (1A) in an image-capturing-device coordinate system (Co1) on the basis of an image of the side surface of the work implement captured by an image-capturing device (19) and an internal parameter of the image-capturing device; computes the coordinate values of a point on the work implement in the image-capturing-device coordinate system (Co1), the point corresponding to any pixel constituting the work implement on the captured image, on the basis of positional information on the pixel on the captured image and the position of the plane (S1); and converts the coordinate values of the point on the work implement in the image-capturing-device coordinate system, the point corresponding to the pixel, to coordinate values in a work-implement coordinate system (Co3) to output the coordinate values in the work-implement coordinate system (Co3) to a work-machine controller (50) of a hydraulic excavator (1).

An in-vehicle multi-monitoring device for a vehicle includes first and second imaging members, and a controller. The first imaging member performs first imaging to capture a first image of one or more occupants in a passenger compartment of the vehicle. The second imaging member perform second imaging to capture a second image of the one or more occupants. The controller executes a process on the first image and the second image. The first imaging member and the second imaging member are configured to perform the first imaging and the second imaging respectively at different angles of view or in different imaging ranges. The process includes multiple types of processes for the one or more occupants in the passenger compartment. The multiple types of processes are executed based on the first image and the second image captured at the different angles of view or in the different imaging ranges.