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 a systems and methods for intra-shot dynamic LIDAR detector gain. One example method my include receiving first image data associated with a first image of an object illuminated at a first wavelength and captured by a camera at the first wavelength, the first image data including first pixel data for a first pixel of the first image and second pixel data for a second pixel of the first image. The example method may also include calculating a first reflectance value for the first pixel using the first pixel data. The example method may also include calculating a second reflectance value for the second pixel using the second pixel data. The example method may also include generating, using first reflectance value and the second reflectance value, a first reflectance distribution of the object.

Abstract: Systems, methods, and computer-readable media are disclosed for a systems and methods for intra-shot dynamic LIDAR detector gain. One example method my include receiving first image data associated with a first image of an object illuminated at a first wavelength and captured by a camera at the first wavelength, the first image data including first pixel data for a first pixel of the first image and second pixel data for a second pixel of the first image. The example method may also include calculating a first reflectance value for the first pixel using the first pixel data. The example method may also include calculating a second reflectance value for the second pixel using the second pixel data. The example method may also include generating, using first reflectance value and the second reflectance value, a first reflectance distribution of the object.

Abstract: Systems, methods, and computer-readable media are disclosed for a systems and methods for intra-shot dynamic LIDAR detector gain. One example method my include receiving first image data associated with a first image of an object illuminated at a first wavelength and captured by a camera at the first wavelength, the first image data including first pixel data for a first pixel of the first image and second pixel data for a second pixel of the first image. The example method may also include calculating a first reflectance value for the first pixel using the first pixel data. The example method may also include calculating a second reflectance value for the second pixel using the second pixel data. The example method may also include generating, using first reflectance value and the second reflectance value, a first reflectance distribution of the object.

Abstract: Systems, methods, and computer-readable media are disclosed for characterizing LIDAR point cloud quality. An example method may involve capturing a first point cloud for a test target including a retroreflective object, the first point cloud including a first region. The example method may also involve capturing, by a LIDAR system, a second point cloud for the test target. The example method may also involve applying a penalty function to a first point in the second point cloud, wherein the first point is within an acceptable error threshold based on the first region. The example method may also involve applying a penalty function to a second point in the second point cloud, wherein the second point is outside of the acceptable error threshold based on the first region. The example method may also involve generating a first score for the first point and a second score for the second point based on the penalty function.

Abstract: Systems, methods, and computer-readable media are disclosed for a systems and methods for intra-shot dynamic LIDAR detector gain. One example method my include receiving first image data associated with a first image of an object illuminated at a first wavelength and captured by a camera at the first wavelength, the first image data including first pixel data for a first pixel of the first image and second pixel data for a second pixel of the first image. The example method may also include calculating a first reflectance value for the first pixel using the first pixel data. The example method may also include calculating a second reflectance value for the second pixel using the second pixel data. The example method may also include generating, using first reflectance value and the second reflectance value, a first reflectance distribution of the object.

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.