A method for displaying and processing an image captured by an optical system used to simulate a rear-view system of a vehicle, includes capturing the image, calculating a region of interest (ROI) on the captured image, calculating a blur factor for blurring the ROI using one or more inputs, manipulating an image gradient pixel by pixel using the blur factor to reduce at least one of a brightness or a contrast of one or more pixels of the ROI, and displaying the processed image on a display.

According to one embodiment, a vehicle periphery monitoring apparatus comprises: an outside-view camera; a display; and an image processor. The image processor is to acquire information about the position of a driver's viewpoint, information about the position of the display, information about the position of a virtual mirror for geometrically transforming an image picked up by the outside-view camera to an image viewed from the viewpoint, and to generate a mirror-displaying image to be displayed on the virtual mirror, from the information about the position of the viewpoint, information about the position of the display, information about the position of the virtual mirror and the image picked up by the outside-view camera. The image processor generates data representing a mirror frame surrounding the mirror-displaying image, and causes the display to display the mirror frame and the mirror-displaying image in the mirror frame.

Various embodiments are described herein for a vision display system for a vehicle. The system comprises at least one camera configured to capture image data of at least one zone for the vehicle, a processing unit configured to receive the image data from the at least one camera, to correct the image data to reduce distortion, and to generate final image data from the corrected image data for viewing by an operator, a passenger or a user of the host vehicle. A display is configured to output the image data.

A vision system for a vehicle is provided including a camera for capturing images within a field of view; a display device movably mounted relative to the vehicle for displaying a portion of the field of view of the camera; a movement sensor for sensing movement of the display device; and a processing circuit in communication with the movement sensor, the display device, and the camera for selecting the portion of the field of view to be displayed on the display device in response to movement of the display device as sensed by the movement sensor.

The invention provides an autonomous vehicle with a video camera that merges images taken a different light levels by replacing saturated parts of an image with corresponding parts of a lower-light image to stream a video with a dynamic range that extends to include very low-light and very intensely lit parts of a scene. The high dynamic range (HDR) camera streams the HDR video to a HDR system in real time—as the vehicle operates. As pixel values are provided by the camera's image sensors, those values are streamed directly through a pipeline processing operation and on to the HDR system without any requirement to wait and collect entire images, or frames, before using the video information.

Vehicle visual systems are disclosed to produce seamless and uniform surround-view images of the vehicle using a number of Ultra Wide-Angle (UWA) lens cameras and optionally HUD systems. A distributive system architecture wherein individual cameras are capable of performing various image transformations allows a flexible and resource efficient image processing scheme.

An image processing device includes a contrasting correction unit, a color analysis unit, an object detection unit, and an object relation analysis unit. The contrasting correction unit creates a contrasting corrected image by correcting contrasting of an input image captured by a vehicle camera. The color analysis unit creates a color corrected image by correcting colors of the input image. The object detection unit detects a main sign included in the input image based on the contrasting corrected image and detects an auxiliary sign included in the input image based on the color corrected image. The object relation analysis unit recognizes a traffic sign as a combination of a main sign and auxiliary sign by associating the main sign and the auxiliary sign with each other based on a positional relationship between the main and auxiliary signs, which are detected by the object detection unit, in the input image.

A movable carrier auxiliary system includes a state detecting device, a braking device, an environmental detecting device and an emergency brake controlling device. The state detecting device detects a movement state of a movable carrier. The environmental detecting device includes at least one image capturing module and an operation module. The brake controlling method thereof includes receive the movement state detected by the state detecting device, and deriving an operating distance based on the movement state with the operation module; capture the environmental image with the image capturing module; determine whether there is an obstruction within the operating distance based on the environmental image; automatically actuate the braking device with the emergency brake controlling device when there is the obstruction within the operating distance in the environmental image, thereby to stop the movable carrier within the operating distance.

A parking assistance apparatus mounted on a vehicle includes a display processor that displays an image on a right-side display disposed on a right side with respect to a driver, and displays an image on a left-side display disposed on a left side with respect to the driver located in the interior of the vehicle, and a calculator that recognizes boundary lines of a parking area located in the rear of the vehicle, and specifies a gap in a vehicle width direction between the vehicle and one of the boundary lines on each of the left side and the right side to determine a leftward off-center or a rightward off-center. The display processor displays a vehicle off-center image indicating a result determined by the calculator on each of the right-side display and the left-side display together with the image captured.

A rear vision system and a corresponding method for use with a host vehicle towing a trailer or other object. The rear vision system may include a rear facing camera, a vehicle-to-vehicle (V2V) unit, vehicle dynamic sensors, a navigation unit, a control unit, and an electronic display mirror. When the towed trailer obstructs the rear facing camera, the system and method look for unseen vehicles behind the trailer and use the V2V unit to gather information from these vehicles. This information is then used to generate a rendering that graphically depicts or represents the unseen vehicle, and the rendering is superimposed on top of the video output from the rear facing camera in the form of enhanced video output, which is then displayed on the electronic display mirror. Thus, the driver is able to “see” behind the obstructing trailer without the use of additional cameras installed on the trailer.