Invention Grant
- Patent Title: Three-dimensional object localization for obstacle avoidance using one-shot convolutional neural network
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Application No.: US15935195Application Date: 2018-03-26
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Publication No.: US11618438B2Publication Date: 2023-04-04
- Inventor: Mudhakar Srivatsa , Swati Rallapalli , Nidal Qwasmi , Mahmood S. Ashek , Michael J. Giancola , Shehzad Noor Taus Priyo
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Garg Law Firm, PLLC
- Agent Rakesh Garg; Anthony Mauricio Pallone
- Main IPC: G06T7/00
- IPC: G06T7/00 ; B60W30/09 ; G06K9/62 ; G06T19/00 ; G06T7/521 ; G06T7/11 ; G05D1/00 ; G05D1/02 ; G06N3/08 ; G06V20/58 ; G06V20/64

Abstract:
Pixel image data of a scene is received in which the pixel image data includes a two-dimensional representation of an object in the scene. Point cloud data including three-dimensional point coordinates of a physical object within the scene corresponding to the two-dimensional representation of the object is received. The three-dimensional point coordinates include depth information of the physical object. The point cloud data is mapped to an image plane of the pixel image data to form integrated pixel image data wherein one or more pixels of the pixel image data have depth information integrated therewith. A three-dimensional bounding box is predicted for the object using a convolutional neural network based upon the integrated pixel image data.
Public/Granted literature
- US20190291723A1 THREE-DIMENSIONAL OBJECT LOCALIZATION FOR OBSTACLE AVOIDANCE USING ONE-SHOT CONVOLUTIONAL NEURAL NETWORK Public/Granted day:2019-09-26
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