公开(公告)号：US20230360255A1

公开(公告)日：2023-11-09

申请号：US17955822

申请日：2022-09-29

Applicant: NVIDIA Corporation

Inventor： Mehmet K. Kocamaz ,  Daniel Per Olof Svensson ,  Hang Dou ,  Sangmin Oh ,  Minwoo Park ,  Kexuan Zou

IPC: G06T7/73 ,  G06T7/20

CPC classification number: G06T7/73 ,  G06T7/20 ,  G06V2201/07 ,  G06T2207/30241 ,  G06T2207/30252

Abstract: In various examples, techniques for multi-dimensional tracking of objects using two-dimensional (2D) sensor data are described. Systems and methods may use first image data to determine a first 2D detected location and a first three-dimensional (3D) detected location of an object. The systems and methods may then determine a 2D estimated location using the first 2D detected location and a 3D estimated location using the first 3D detected location. The systems and methods may use second image data to determine a second 2D detected location and a second 3D detected location of a detected object, and may then determine that the object corresponds to the detected object using the 2D estimated location, the 3D estimated location, the second 2D detected location, and the second 3D detected location. The systems and method then generate, modify, delete, or otherwise update an object track that includes 2D state information and 3D state information.

公开(公告)号：US20220379913A1

公开(公告)日：2022-12-01

申请号：US17827280

申请日：2022-05-27

Applicant: NVIDIA Corporation

Inventor： Berta Rodriguez Hervas ,  Hang Dou ,  Hsin-I Chen ,  Kexuan Zou ,  Nizar Gandy Assaf ,  Minwoo Park

IPC: B60W60/00 ,  G06V20/56 ,  G06V20/58

Abstract: In various examples, lanes may be grouped and a sign may be assigned to a lane in a group, then propagated to another lane in the group to associate semantic meaning corresponding to the sign with the lanes. The sign may be assigned to the most similar lane as quantified by a matching score subject to the lane meeting any hard constraints. Propagation of an assignment of the sign to a different lane may be based on lane attributes and/or sign attributes. Lane attributes may be evaluated and assignments of signs may occur for a lane as a whole, and/or for particular segments of a lane (e.g., of multiple segments perceived by the system). A sign may be a compound sign that is identified as individual signs, which are associated with one another. Attributes of the compound sign may provide semantic meaning used to operate a machine.

公开(公告)号：US12233854B2

公开(公告)日：2025-02-25

申请号：US17690865

申请日：2022-03-09

Applicant: NVIDIA Corporation

Inventor： Berta Rodriguez Hervas ,  Hang Dou ,  Kexuan Zou ,  Hsin-I Chen ,  Nizar Gandy Assaf ,  Minwoo Park

IPC: B60W30/06 ,  B60W50/14 ,  B60W60/00 ,  G06V20/56 ,  G06V20/58

Abstract: In various examples, perception-based parking assistance systems and methods for an ego-machine are presented. Example embodiments may determine a location of a real-world parking strip relative to an ego-machine and an associated parking rule for the parking strip. A virtual parking strip and one or more virtual parking signs may be generated based at least in part on one or more detected features in an environment of the ego-machine and a tracked motion of the ego machine, and the virtual parking strip may be used to track parking strip locations and associated parking rules. The virtual parking strips and associated rules may be relied upon by an ego-machine to determine parking locations and/or to navigate into a suitable parking spot.

公开(公告)号：US20230360231A1

公开(公告)日：2023-11-09

申请号：US17955814

申请日：2022-09-29

Applicant: NVIDIA Corporation

Inventor： Mehmet K. Kocamaz ,  Daniel Per Olof Svensson ,  Hang Dou ,  Sangmin Oh ,  Minwoo Park ,  Kexuan Zou

IPC: G06T7/246

CPC classification number: G06T7/246 ,  G06T2207/30252

Abstract: In various examples, techniques for multi-dimensional tracking of objects using two-dimensional (2D) sensor data are described. Systems and methods may use first image data to determine a first 2D detected location and a first three-dimensional (3D) detected location of an object. The systems and methods may then determine a 2D estimated location using the first 2D detected location and a 3D estimated location using the first 3D detected location. The systems and methods may use second image data to determine a second 2D detected location and a second 3D detected location of a detected object, and may then determine that the object corresponds to the detected object using the 2D estimated location, the 3D estimated location, the second 2D detected location, and the second 3D detected location. The systems and method then generate, modify, delete, or otherwise update an object track that includes 2D state information and 3D state information.