Abstract: An intelligent three dimensional scanner system mountable on a movable machine, including three dimensional scanner, a camera, and control circuitry. The control circuitry is configured to receive three dimensional point data from the three dimensional scanner, receive two dimensional image data from the camera, input the two dimensional image data to a machine learning model, which identifies objects in the two dimensional image data, fuse the three dimensional point data with the identified objects in the two dimensional image data in order to identify the objects in the three dimensional point data, and control a scan pattern to direct scanning resolution of the three dimensional scanner based on the identified objects.

Abstract: A method for testing a perception system is disclosed. The method includes detecting, by a processor, one or more objects in a composite image, the composite image including a first image and at least a portion of a second image. A first set of objects are detected in the first image. Further, the method includes comparing, by the processor, a second set of objects of the one or more objects detected in the portion of the second image with a set of previously detected objects in the portion of the second image. Furthermore, the method includes validating, the performance of the processor in the detection of the first set of objects in the first image by ensuring the second set of objects detected in the at least a portion of a second image matches the set of previously detected objects in the portion of the second image.

Abstract: A method for testing a perception system is disclosed. The method includes detecting, by a processor, one or more objects in a composite image, the composite image including a first image and at least a portion of a second image. A first set of objects are detected in the first image. Further, the method includes comparing, by the processor, a second set of objects of the one or more objects detected in the portion of the second image with a set of previously detected objects in the portion of the second image. Furthermore, the method includes validating, the performance of the processor in the detection of the first set of objects in the first image by ensuring the second set of objects detected in the at least a portion of a second image matches the set of previously detected objects in the portion of the second image.

Abstract: An imaging system is disclosed for use with a mobile machine. The imaging system may have at least one onboard camera configured to generate image data for an actual environment of the mobile machine, and an onboard sensor configured to generate object data regarding detection and ranging of an object in the actual environment. The imaging system may also have a display mounted on the machine, and a processor in communication with the at least one camera, the sensor, and the display. The processor may be configured to generate a virtual geometry, and generate a virtual object within the virtual geometry based on the object data. The processor may further be configured to generate a unified image of the actual environment based on the image data, to map a projection of the unified image onto the virtual geometry and the virtual object, and to render a selected portion of the projection on the display.