Devices, systems, and methods are provided for testing and validation of a camera. A device may capture a first image of a target using a camera, wherein the camera is in a clean state, and wherein the target is in a line of sight of the camera. The device may apply an obstruction to a portion of a lens of the camera. The device may apply a camera cleaning system to the lens of the camera. The device may capture a post-clean image after applying the camera cleaning system. The device may determine a post-clean SSIM score based on comparing the post clean image to the first image. The device may compare the post-clean SSIM score to a validation threshold. The device may determine a validation state of the camera cleaning system based on the comparison.

In an image processing apparatus, a first correction unit corrects imaging data acquired from an infrared imaging device, based on a first correction table, and outputs first corrected data. A second correction unit generates a second correction table for the imaging data in a state in which a shutter is closed, and outputs second corrected data based on the second correction table. A saturated region detection unit detects a saturated region in the imaging data. A shutter control unit performs closing control for the shutter, based on a result of detection of the saturated region. An abnormal pixel detection unit detects whether or not the imaging data acquired in the state in which the shutter is closed includes an abnormal pixel. A selection unit selects and outputs either the first corrected data or the second corrected data in accordance with a result of detection by the abnormal pixel detection unit.

There is provided a system and method of re-projecting and combining sensor data of a scene from a plurality of sensors for visualization. The method including: receiving the sensor data from the plurality of sensors; re-projecting the sensor data from each of the sensors into a new viewpoint; localizing each of the re-projected sensor data; combining the localized re-projected sensor data into a combined image; and outputting the combined image. In a particular case, the receiving and re-projecting can be performed locally at each of the sensors.

A color calibration system for color correction in an optical device using a database of target colors includes a physical target card. The physical target card includes at least three unique colored patches arranged in a predetermined pattern on the physical target card, identifying indicia, and alignment indicia. The color calibration system also includes an executable machine-readable software. The software is configured to read and assign a value to the colored patches. The software is further configured to read the identifying indicia and identify the physical target card, and to read the alignment indicia for identifying individual colored patches. The software is further configured to compare color values in the optical device to known factory color values, generate a target card profile, and convert native color space for use in subsequent images under the same lighting conditions.

A method for calibrating an active FOV of a single camera, wherein from the calibration of the cameras active FOV, a coordinate matrix is obtained which remotely produces a virtual interpolation measurement network at any point within an image (a frame) extracted from a video stream (recorded by the single camera), while eliminating the need to be physically located at the actual location where the video stream has been recorded. According to an embodiment of the invention, the basis of the active FOV of a camera is the ability to obtain (measure) coordinates of the measurement points marked on a calibration board.

Provided is a semiconductor element capable of inspecting a plurality of wires formed in parallel. A semiconductor element according to an embodiment includes: a first circuit (45B) connected to a first position of each of a plurality of wires of a first wire group (31) including the plurality of wires; a second circuit (45A) connected to a second position corresponding to an end of each of the plurality of wires; and a plurality of connection units (43) that connects a third circuit (14) with each of the plurality of wires, the plurality of connection units (43) being provided on a one-to-one basis to the plurality of wires between the first position and the second position of each of the plurality of wires.

A method for rolling shutter compensation during signal delay measurement, comprising displaying a video test pattern on a display, said video test pattern having a temporal event; capturing a video of the display, by a camera; monitoring a plurality of regions of the display in the video; detecting times (1230, 1240) at which the temporal event appears in each monitored region of the display in the video; and extrapolating the detected times (1230, 1240) to calculate the time (1250) at which said temporal event would appear at a selected region of the video.

A video camera system including: one or more video cameras; a video recorder in communication with each of the one or more video cameras; a video analytics module, the video analytics module being a computer program product embodied on a computer readable medium, the computer program product including instructions that, when executed by a processor, cause the processor to perform operations including: obtaining video parameters of a plurality of video frames received at the video recorder, the plurality of video frames being transmitted from the one or more video cameras to the video recorder; determining an abnormality within the video parameters; and identifying a malfunctioning video camera of the one or more video cameras that produced the abnormality within the video parameters.

A mounting device for selectively positioning an optical element within a field-of-view of an optical sensor of a vehicle includes: a housing defining an opening sized to fit over an aperture of the optical sensor; a holder for the optical element connected to the housing and positioned such that, when the holder is in a first position, the optical element is at least partially within the field-of-view of the optical sensor; and a motorized actuator. The motorized actuator can be configured to move the holder to adjust the position of the optical element relative to the field-of-view of the optical sensor.

Provided are systems and methods for auto calibrating a vehicle using a calibration target that is generated from the vehicle's sensor data. In one example, the method may include receiving sensor data associated with a road captured by one or more sensors of a vehicle, identifying lane line data points within the sensor data, generating a representation which includes positions of a plurality of lane lines of the road based on the identified lane line data points, and adjusting a calibration parameter of a sensor from among the one or more sensors of the vehicle based on the representation of the plurality of lane lines.