Abstract: An autonomous guided vehicle including a frame, a drive section, a payload handler, a vision system, and a controller. The vision system has a camera disposed to generate video stream data imaging of an object. The controller being communicably connected to register the video stream data imaging from the at least one camera and communicably connected to at least one or more of a time of flight sensor and a distance sensor that detects a distance of the object. The controller is configured so to effect, from the video stream data imaging, robust object detection and localization within a predetermined reference frame via alternately both binocular vision and monocular vision from the video stream data imaging, the detection determined via monocular vision having confidence commensurate with detection determined via the binocular vision.

Abstract: An autonomous guided vehicle includes a frame, a drive section, a payload handler, a sensor system, and a supplemental sensor system. The sensor system has electro-magnetic sensors, each responsive to interaction or interface of a sensor emitted or generated electro-magnetic beam or field with a physical characteristic, the electro-magnetic beam or field being disturbed by interaction or interface with the physical characteristic, and which disturbance is detected by and effects sensing of the physical characteristic. The sensor system generates sensor data embodying at least one of a vehicle navigation pose or location information and payload pose or location information. The supplemental sensor system supplements the sensor system, and is, at least in part, a vision system with cameras disposed to capture image data informing the at least one of a vehicle navigation pose or location and payload pose or location supplement to the information of the sensor system.

Abstract: A method and system for the processing, compressing, streaming, efficient transmission, and interactive rendering of 3d color image data are presented. A 3d color image is defined as a collection of 3d xyz locations that possess red-green-blue (RGB) color components just as a conventional 2d color image is a set of 2d xy locations (pixel centers) that possess RGB color components. One major difference is that 2d color images are generally dense and specifically organized on a 2d pixel grid where 3d color images are generally sparse and not organized on a dense-voxel grid in their raw data formats. The described method uses 3d sampling techniques and view-dependent point-size rendering algorithms to provide real-time interactive displays of complex textured 3d objects and scenes without the use of specialized texture mapping support for polygons within 3d graphic display systems.

Abstract: A method and system for the processing, compressing, streaming, efficient transmission, and interactive rendering of 3d color image data are presented. A 3d color image is defined as a collection of 3d xyz locations that possess red-green-blue (RGB) color components just as a conventional 2d color image is a set of 2d xy locations (pixel centers) that possess RGB color components. One major difference is that 2d color images are generally dense and specifically organized on a 2d pixel grid where 3d color images are generally sparse and not organized on a dense-voxel grid in their raw data formats. The described method uses 3d sampling techniques and view-dependent point-size rendering algorithms to provide real-time interactive displays of complex textured 3d objects and scenes without the use of specialized texture mapping support for polygons within 3d graphic display systems.