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: Systems, methods, and computer-readable media are disclosed for identifying light flares in images. An example method may involve receiving an image from an imaging device, the image including data indicative of a flare artifact originating from a region of the image. The example method may also involve determining, based on the image data, a first array of pixels extending radially outwards from the region and a second array of pixels extending radially outwards from the region. The example method may also involve creating, based on the image data, a flare array, the flare array including the first array of pixels and the second array of pixels. The example method may also involve determining, based on the flare array, a peak flare artifact value indicative of a size of the flare artifact; and determining, based on the peak flare artifact value, a flare artifact score for the imaging device.

Abstract: Systems, methods, and computer-readable media are disclosed for identifying light flares in images. An example method may involve receiving an image from an imaging device, the image including data indicative of a flare artifact originating from a region of the image. The example method may also involve determining, based on the image data, a first array of pixels extending radially outwards from the region and a second array of pixels extending radially outwards from the region. The example method may also involve creating, based on the image data, a flare array, the flare array including the first array of pixels and the second array of pixels. The example method may also involve determining, based on the flare array, a peak flare artifact value indicative of a size of the flare artifact. The example method may also involve determining, based on the peak flare artifact value, a flare artifact score for the imaging device.

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: Systems, methods, and computer-readable media are disclosed for identifying light flares in images. An example method may involve receiving an image from an imaging device, the image including data indicative of a flare artifact originating from a region of the image. The example method may also involve determining, based on the image data, a first array of pixels extending radially outwards from the region and a second array of pixels extending radially outwards from the region. The example method may also involve creating, based on the image data, a flare array, the flare array including the first array of pixels and the second array of pixels. The example method may also involve determining, based on the flare array, a peak flare artifact value indicative of a size of the flare artifact. The example method may also involve determining, based on the peak flare artifact value, a flare artifact score for the imaging device.