Embodiments include a vehicle comprising a plurality of cameras for capturing images within a field of view surrounding the vehicle; a processor for generating a real-time view of an area within the field of view using currently-captured images, and a time-delayed view of a region outside the field of view using previously-captured images stored in a memory; and a display for displaying a hybrid view comprising the real-time view and time-delayed view. Embodiments also include a vehicle camera system comprising a plurality of cameras configured to capture images within a field of view surrounding the vehicle, and a processor configured to generate a real-time view of an area within the field of view using currently-captured images, a time-delayed view of a region outside the field of view using previously-captured images stored in a memory, and a hybrid view of the vehicle by integrating the time-delayed view into the real-time view.

A door handle assembly for a door of a vehicle includes a handle portion pivotally mounted at the handle region of the vehicle door. The handle portion is disposed at a pocket region of the handle region. A pocket lighting module includes at least one light emitting diode operable to emit light to illuminate the pocket region. The pocket lighting module is operable to emit different colors of light responsive to different triggers.

A display control device for a vehicle includes: a display controller that displays a predetermined display image on a windshield of the vehicle; a visibility reducing area detector that detects a presence or an absence of a visibility reducing area which reduces a visibility of the display image on the windshield; and a gaze detector that detects a gaze of a driver. When the display image overlaps with the visibility reducing area and the driver does not keep the gaze on the display image, the display controller moves the display image to an outside of the visibility reducing area.

The invention relates to a method for motion estimation between two images of an environmental region (9) of a motor vehicle (1) captured by a camera (4) of the motor vehicle (1), wherein the following steps are performed: a) determining at least two image areas of a first image as at least two first blocks (B) in the first image, b) for each first block (B), defining a respective search region in a second image for searching the respective search region in the second image for a second block (B) corresponding to the respective first block (B); c) determining a cost surface (18) for each first blocks (B) and its respective search region; d) determining an averaged cost surface (19) for one of the at least two first blocks (B) based on the cost surfaces (18); d) identifying a motion vector (v) for the one of the first blocks (B) describing a motion of a location of the first block (B) in the first image and the corresponding second block (B) in the second image. The invention also relates to a computing device (3), a driver assistance system (2) as well as a motor vehicle (1).

Example implementations may relate to use of a light-control feature to control extent of light encountered by an image capture device of a self-driving vehicle. In particular, a computing system of the vehicle may make a determination that quality of image data generated by an image capture device is or is expected to be lower than a threshold quality due to external light encountered or expected to be encountered by the image capture device. In response to the determination, the computing system may make an adjustment to the light-control feature to control the extent of external light encountered or expected to be encountered by the image capture device. This adjustment may ultimately help improve quality of image data generated by the image capture device. As such, the computing system may operate the vehicle based at least on image data generated by the image capture device.

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 timeas 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.

Disclosed is a method of displaying content on a glass window of a vehicle, including capturing sight information of surrounding scenery of the vehicle during a first time period, by using at least one first image capturing device, identifying a request for displaying content related to the sight information from a user during a second time period after the first time period, and displaying the content related to the sight information on the glass window of the vehicle based on the request.

A sensor mounting arrangement suitable for an autonomous or automated vehicle having an aerodynamic generally rounded or curved front perimeter surface symmetrically arranged relative to a longitudinal axis of the vehicle. The sensor is mounted so as to be tipped toward a more optimal sensing direction, bringing a leading portion outboard of, and a trailing portion inboard of, the ideal front perimeter surface, but putting the sensor in a more optimal sensing orientation. A transparent cover protects the sensor and blends aerodynamically into the front perimeter body surface.

A pod includes a base, a plurality of sensor attachment fixtures, and a shell. The base is complementary in shape to a vehicle roof and includes a central opening therethrough. The sensor attachment fixtures are fixed to the base adjacent to an outer periphery of the base. The shell is fixed to and covers the base. The shell defines a cavity enclosing the sensor attachment fixtures and has a plurality of windows aligned with the sensor attachment fixtures.

The technology relates to autonomous vehicles that use a perception system to detect objects and features in the vehicle's surroundings. A camera assembly having a ring-type structure is provided that gives the perception system an overall 360 field of view around the vehicle. Image sensors are arranged in camera modules around the assembly to provide a seamless panoramic field of view. One subsystem has multiple pairs of image sensors positioned to provide the overall 360 field of view, while another subsystem provides a set of image sensors generally facing toward the front of the vehicle to provide enhanced object identification. The camera assembly may be arranged in a housing located on top of the vehicle. The housing may include other sensors such as LIDAR and radar. The assembly includes a chassis and top and base plates, which may provide EMI protection from other sensors disposed in the housing.