Invention Application
- Patent Title: Method and System for Classification of an Object in a Point Cloud Data Set
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Application No.: US18429174Application Date: 2024-01-31
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Publication No.: US20240369708A1Publication Date: 2024-11-07
- Inventor: Stephen C. CROUCH , Brant KAYLOR , Randy R. REIBEL
- Applicant: Aurora Operations, Inc.
- Applicant Address: US PA Pittsburgh
- Assignee: Aurora Operations, Inc.
- Current Assignee: Aurora Operations, Inc.
- Current Assignee Address: US PA Pittsburgh
- Main IPC: G01S17/42
- IPC: G01S17/42 ; G01S7/48 ; G01S17/89 ; G06F18/22 ; G06F18/2413 ; G06F18/2431 ; G06V10/40 ; G06V10/74 ; G06V10/75 ; G06V10/764 ; G06V20/64

Abstract:
A method for classifying an object in a point cloud includes computing first and second classification statistics for one or more points in the point cloud. Closest matches are determined between the first and second classification statistics and a respective one of a set of first and second classification statistics corresponding to a set of N classes of a respective first and second classifier, to estimate the object is in a respective first and second class. If the first class does not correspond to the second class, a closest fit is performed between the point cloud and model point clouds for only the first and second classes of a third classifier. The object is assigned to the first or second class, based on the closest fit within near real time of receiving the 3D point cloud. A device is operated based on the assigned object class.
Information query