公开(公告)号：US12056815B2

公开(公告)日：2024-08-06

申请号：US16441866

申请日：2019-06-14

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Orhan Bulan ,  Yehenew G. Mengistu ,  Sheetal Mahesh ,  Michael A. Losh ,  David H. Clifford

IPC: G06T17/05 ,  G06F16/29 ,  G06V10/80 ,  G06V20/10 ,  G06V20/56

CPC classification number: G06T17/05 ,  G06F16/29 ,  G06V10/80 ,  G06V20/182 ,  G06V20/588 ,  G06T2207/10032

Abstract: In one example implementation according to aspects of the present disclosure, a computer-implemented method for generating map features includes receiving, by a processing device, aerial image data. The method further includes receiving, by the processing device, telemetry data. The method further includes performing, by the processing device, data fusion on the aerial image data and the telemetry data to generate map features. The method further includes controlling, by the processing system, a vehicle based at least in part on the map features.

公开(公告)号：US20230063809A1

公开(公告)日：2023-03-02

申请号：US17411320

申请日：2021-08-25

Applicant: GM Global Technology Operations LLC

Inventor： Yijun Wei ,  Yehenew G. Mengistu ,  Orhan Bulan ,  Sheetal Mahesh

IPC: G01C21/00

Abstract: A system and a method of generating a map for navigating a vehicle. The system includes a remote processor. The remote processor is configured to determine an anchor point for a location of a road segment based on data from at least one data source, place the anchor point within an aerial image of the road segment, predict a boundary marking of the road segment on the aerial image based on the anchor point, and provide the boundary marking to the vehicle. A vehicle processor navigates the vehicle along the road segment using the boundary marking.

公开(公告)号：US20220036069A1

公开(公告)日：2022-02-03

申请号：US16943673

申请日：2020-07-30

Applicant: GM Global Technology Operations LLC

Inventor： Orhan Bulan ,  Yehenew G. Mengistu ,  Sheetal Mahesh ,  David H. Clifford

IPC: G06K9/00 ,  G06T7/00 ,  G06F17/18

Abstract: A method to detect a roadway edge includes calculating a first likelihood of a roadway edge from an aerial image of a roadway by shifting a centerline of the roadway perpendicular to the centerline and overlapping the centerline with image gradients. A second likelihood of the roadway edge is determined using a vehicle telemetry fitting a probability distribution to telemetry points along the roadway. The first likelihood of the roadway edge and the second likelihood of the roadway edge are fused to identify a final likelihood of the roadway edge.

公开(公告)号：US20210180960A1

公开(公告)日：2021-06-17

申请号：US16717678

申请日：2019-12-17

Applicant: GM Global Technology Operations LLC

Inventor： Dylan Verstandig ,  Michael A. Losh ,  Orhan Bulan

IPC: G01C21/32 ,  G05D1/00 ,  G06T17/05 ,  G06N3/08 ,  G06T19/00 ,  G06K9/00 ,  G06N3/04

Abstract: Systems and methods to generate an augmented map used for autonomous driving of a vehicle involve obtaining images at a first point of view, and training a first neural network to identify and classify features related to an attribute in the images at the first point of view. A method also includes projecting the features onto images obtained at a second point of view, and training a second neural network to identify the attribute in the images at the second point of view based on the features. The augmented map is generated by adding the attribute to a map image at the second point of view.

公开(公告)号：US20200333798A1

公开(公告)日：2020-10-22

申请号：US16386441

申请日：2019-04-17

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Michael A. Losh ,  Keun Jae Kim ,  Orhan Bulan

IPC: G05D1/02 ,  G01S13/89 ,  G01S13/93

Abstract: Systems and methods are provided for generating a map for use in controlling a vehicle. In one embodiment, a method includes: receiving, by a processor, aerial image data depicting an environment; processing, by the processor, the aerial image data with a plurality of trained deep learning models to produce a predicted radar map; and controlling the vehicle based on the predicted radar map.

公开(公告)号：US10685261B2

公开(公告)日：2020-06-16

申请号：US16004735

申请日：2018-06-11

Applicant: GM Global Technology Operations LLC

Inventor： Xuewei Qi ,  Orhan Bulan ,  David H. Clifford ,  David J. Hiemenga ,  Yehenew G. Mengistu

IPC: G06K9/62 ,  G06T7/11 ,  H04N1/028 ,  G06K9/00

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.

公开(公告)号：US20190163193A1

公开(公告)日：2019-05-30

申请号：US15826294

申请日：2017-11-29

Applicant: GM GLOBAL TECHNOLOGY OPERATIONS LLC

Inventor： Andrew J. Lingg ,  Orhan Bulan ,  David H. Clifford ,  Daniel Taylor ,  Benjamin J. Cool

IPC: G05D1/02 ,  G06T5/20 ,  G06K9/66 ,  G06K9/62 ,  G06T7/90 ,  G01C21/28 ,  G01C21/36

Abstract: Systems and methods of mapping traffic related objects. In one embodiment, a method includes: receiving image sensor data relating to an environment associated with a vehicle; receiving lidar sensor data relating to the environment associated with the vehicle; selecting, by a processor, at least one image region including a traffic related object from the image sensor data; selectively filtering, by a processor, the at least one image region based on the lidar sensor data; and generating, by a processor, a composite map including a representation of the traffic related object superimposed upon a defined map of the environment based on the selectively filtering.