Abstract: A system for partitioning a two-dimensional (2D) array and recognizing elements of the 2D array selects a location in an array comprising pixel data of the 2D array; and selects a direction in which to traverse the array from the selected location to segment the elements of the 2D array. The system uses a model and a reward/penalty function to guide the traversal through the array. The system changes direction when the data encountered while traversing the array in the selected direction represents one of the elements of the 2D array and continues in the selected direction when the data represents a joint between two elements of the 2D array. The system recognizes one or more of the elements of the 2D array segmented by traversing the array.

Abstract: A system for partitioning a two-dimensional (2D) array and recognizing elements of the 2D array selects a location in an array comprising pixel data of the 2D array; and selects a direction in which to traverse the array from the selected location to segment the elements of the 2D array. The system uses a model and a reward/penalty function to guide the traversal through the array. The system changes direction when the data encountered while traversing the array in the selected direction represents one of the elements of the 2D array and continues in the selected direction when the data represents a joint between two elements of the 2D array. The system recognizes one or more of the elements of the 2D array segmented by traversing the array.

Abstract: A method and apparatus for classifying light detection and ranging sensor data are provided. The method includes transforming sensor data of the LIDAR into point cloud data, selecting a cell including a subset of the point cloud data, dividing the selected cell into a plurality of voxels, calculating a difference of gradients for the plurality of voxels, performing a first pass on the plurality of voxels to identify voxels that contain an object based the difference of gradients, performing a second pass on the plurality of voxels to identify voxels that contain the object by adjusting a voxel with at least one from among a jitter parameter and a rotation parameter, and outputting a centroid average of voxels identified as containing the object.

Abstract: A method and apparatus for classifying light detection and ranging sensor data are provided. The method includes transforming sensor data of the LIDAR into point cloud data, selecting a cell including a subset of the point cloud data, dividing the selected cell into a plurality of voxels, calculating a difference of gradients for the plurality of voxels, performing a first pass on the plurality of voxels to identify voxels that contain an object based the difference of gradients, performing a second pass on the plurality of voxels to identify voxels that contain the object by adjusting a voxel with at least one from among a jitter parameter and a rotation parameter, and outputting a centroid average of voxels identified as containing the object.