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

Abstract: 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.

Abstract: Devices, systems, and methods are provided for testing and validation of a camera. For example, a system includes a camera that is configured to capture an image of a content object. A processor is programmed to: receive a signal indicative of the image of the content object during an electromagnetic event; generate an image quality score of the image; and generate a validation status of the camera based on a comparison of the image quality score to a validation threshold.

Abstract: Systems, methods, and computer-readable media are disclosed for improved camera color calibration. An example method may involve capturing a first wavelength emitted by a first type of traffic light. The example method may also involve determining, based on the first wavelength, a first color value associated with the wavelength emitted by the first type of traffic light. The example method may also involve capturing, by a first camera, a first image, video, or real-time feed of a first portion of a test target, the first portion of the test target including a first light color that is based on the first color value. The example method may also involve determining, based on the first image, video, or real-time feed of the first portion of a test target, a second color value output by the camera. The example method may also involve determining, based on a comparison between the first color value and the second color value, that a difference exists between the first color value and the second color value.

Abstract: Devices, systems, and methods are provided for enhanced pointing angle validation. A device may generate a collimated beam using a light source emitting a light beam through a fiducial target in an optical instrument. The device may capture an image fiducial target using a camera, wherein the camera is mounted on a mounting datum that is orthogonal to the collimated beam. The device may determine a pointing angle associated with camera based on the captured image of the fiducial target. The device may compare a location of the fiducial target in the image to an optical center of the camera. The device may determine a validation status of camera based on the location of the fiducial target in the image.

Abstract: Devices, systems, and methods are provided for enhanced pointing angle validation. A device may generate a collimated beam using a light source emitting a light beam through a fiducial target in an optical instrument. The device may capture an image fiducial target using a camera, wherein the camera is mounted on a mounting datum that is orthogonal to the collimated beam. The device may determine a pointing angle associated with camera based on the captured image of the fiducial target. The device may compare a location of the fiducial target in the image to an optical center of the camera. The device may determine a validation status of camera based on the location of the fiducial target in the image.

Abstract: 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.

Abstract: Devices, systems, and methods are provided for testing and validation of a camera. For example, a system includes a camera that is configured to capture an image of a content object. A processor is programmed to: receive a signal indicative of the image of the content object during an electromagnetic event; generate an image quality score of the image; and generate a validation status of the camera based on a comparison of the image quality score to a validation threshold.

Abstract: 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.

Abstract: Devices, systems, and methods are provided for testing and validation of a camera. A device may determine a content object placed in a line of sight of a camera device, wherein the content object provides informational and visual content. The device may capture one or more images of the content object. The device may cause an electromagnetic event using an electromagnetic interference device, causing an electromagnetic event to affect an image quality of at least one of the one or more images captured by the camera device. The device may assign a structural similarity index (SSIM) score to the at least one image of the one or more images, wherein the SSIM score indicates a camera validation status of the camera device. The device may assign an SSIM score between on one image taken without the presence of interference and one image taken in the presences of the interference.

Abstract: Devices, systems, and methods are provided for sensor health and regression testing. A sensor testing system may include a first plurality of sensor testing targets positioned on a first side of a vehicle at a first distance from the vehicle, a second plurality of sensor testing targets positioned on a second side of the vehicle at the first distance, and a first sensor testing target positioned at a second distance from the vehicle, the second distance further from the vehicle than the first distance. The first and second pluralities of sensor testing targets both may include three or more sensor testing targets for testing cameras and light detection and ranging (LIDAR) sensors of the vehicle. The first sensor testing target may be used to test at least one of camera or LIDAR data. The sensor testing system may identify degradation of sensor performance, triggering further analysis and/or repairs.

Abstract: Systems, methods, and computer-readable media are disclosed for improved camera color calibration. An example method may involve capturing a first wavelength emitted by a first type of traffic light. The example method may also involve determining, based on the first wavelength, a first color value associated with the wavelength emitted by the first type of traffic light. The example method may also involve capturing, by a first camera, a first image, video, or real-time feed of a first portion of a test target, the first portion of the test target including a first light color that is based on the first color value. The example method may also involve determining, based on the first image, video, or real-time feed of the first portion of a test target, a second color value output by the camera. The example method may also involve determining, based on a comparison between the first color value and the second color value, that a difference exists between the first color value and the second color value.

Abstract: Devices, systems, and methods are provided for enhanced pointing angle validation. A device may generate a collimated beam using a light source emitting a light beam through a fiducial target in an optical instrument. The device may capture an image fiducial target using a camera, wherein the camera is mounted on a mounting datum that is orthogonal to the collimated beam. The device may determine a pointing angle associated with camera based on the captured image of the fiducial target. The device may compare a location of the fiducial target in the image to an optical center of the camera. The device may determine a validation status of camera based on the location of the fiducial target in the image.

Abstract: 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.

Abstract: Devices, systems, and methods are provided for testing and validation of a camera. A device may determine a content object placed in a line of sight of a camera device, wherein the content object provides informational and visual content. The device may capture one or more images of the content object. The device may cause an electromagnetic event using an electromagnetic interference device, causing an electromagnetic event to affect an image quality of at least one of the one or more images captured by the camera device. The device may assign a structural similarity index (SSIM) score to the at least one image of the one or more images, wherein the SSIM score indicates a camera validation status of the camera device. The device may assign an SSIM score between on one image taken without the presence of interference and one image taken in the presences of the interference.

Abstract: The disclosure describes systems and methods that pertain to interactions between a vehicle and an occupant within the vehicle. More specifically, various systems and methods for enhancing the decisions of automated vehicle applications (collectively “decision enhancement system”) are disclosed. In a safety restraint embodiment, a sensor is used to capture various sensor readings. Sensor readings are typically in the form of images. Occupant information, such as location attributes, motion attributes, and occupant category attributes can be obtained from the sensor readings. If the system concludes that the deployment of a safety restraint is potentially justified, an at-risk-zone detector can be used to determine whether or not the occupant will be too close to the deploying safety restraint at the time of deployment for the safety restraint to be safely deployed.

Abstract: The disclosure describes systems and methods that pertain to interactions between a vehicle and an occupant within the vehicle. More specifically, various systems and methods for enhancing the decisions of automated vehicle applications (collectively “decision enhancement system”) are disclosed. In a safety restraint embodiment, a sensor is used to capture various sensor readings. Sensor readings are typically in the form of images. Occupant information, such as location attributes, motion attributes, and occupant category attributes can be obtained from the sensor readings. If the system concludes that the deployment of a safety restraint is potentially justified, an at-risk-zone detector can be used to determine whether or not the occupant will be too close to the deploying safety restraint at the time of deployment for the safety restraint to be safely deployed.

Abstract: A processor bus bridge includes a buffer space disposed between a first bus and a second bus. The first bus is operated in a first mode by a first processor and the second bus is operated in a second mode by a second processor. The first bus has an electrical structure which is different from the electrical structure of the second bus. The first mode may also differ from the second mode. The processor bus bridge has a protocol logic module disposed between the first processor and the second processor for controlling data transfer across the buffer space in the first and second modes. Thus, the bus bridge enables communications between dissimilar processor buses while increasing performance and reducing CPU overhead.

Abstract: A method and system provide for real-time compensation of an imaging system for variations in illumination intensity. An illumination system provides reflected illumination, and a charge coupled device system directly detects the reflected illumination from the illumination system. The CCD system then converts the reflected illumination into illumination data and a host processor converts the illumination data into adjusted control data and final image data. The adjusted control data is based on an illumination profile and a reference illumination intensity. The reference illumination intensity is measured before each document with a compensation reference, and is compared to the illumination profile to adjust control parameters in a real-time mode. Directly measuring the illumination intensity with the CCD system allows for a reduction in parts, manufacturing steps, and errors.

Abstract: A method and configuration for interprocessor communication provides reduced latency and complexity, as well as the ability to simultaneously transfer different types of data. A multi-channel interface is disposed between a slave processor and a master processor, wherein the multi-channel interface has a low-latency channel for transferring low-latency information and a high-throughput channel for transferring high-throughput information. The master processor interrupts the slave processor when the master processor has control information to transfer to the slave processor. Interrupt driven notification and the multi-channel interface provide reliable, high-speed communication between dissimilar processors.