Gm Global Technolgoy Operations, Inc.

Other

David J Hiemenga

David Hahn Clifford

Orhan Bulan

Mohannad F Murad

Orhan Demirovic

Yehenew G Mengistu

Eric Hatfield

Xuewei Qi

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.

Active segmention of scanned images based on deep reinforcement learning for OCR applications

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.

Method and apparatus for classifying LIDAR data for object detection

A method and apparatus for detecting and classifying objects associated with a vehicle are provided. The method includes capturing a first image and a second image of a cabin of a vehicle, dividing the first image and the second image into a plurality of regions, comparing a first region of the first image to a second region of the second image, in response to detecting a difference between the second region and the first region, classifying an object present in the difference between the second region and the first region and labeling the classified object, and providing a notification of the classified object to at least one from among an occupant of the vehicle and an operator of the vehicle.

Method and apparatus for detecting and classifying objects associated with vehicle

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Grand Rapids, MI, United States of America

David J Hiemenga