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US Patent 10262218 Simultaneous object detection and rigid transform estimation using neural network

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Patent
Patent
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Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
102622180
Patent Inventor Names
Duck Hoon Kim0
Hee-Seok Lee0
Date of Patent
April 16, 2019
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Patent Application Number
154411140
Date Filed
February 23, 2017
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Patent Citations Received
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US Patent 12136030 System and method for adapting a neural network model on a hardware platform
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US Patent 12014553 Predicting three-dimensional features for autonomous driving
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US Patent 12020476 Data synthesis for autonomous control systems
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US Patent 12079723 Optimizing neural network structures for embedded systems
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US Patent 12086097 Vector computational unit
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US Patent 11487288 Data synthesis for autonomous control systems
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US Patent 11521060 Tensor-based computing system for quaternion operations
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US Patent 11537811 Enhanced object detection for autonomous vehicles based on field view
...
Patent Primary Examiner
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Abolfazl Tabatabai
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Patent abstract

A method, a computer-readable medium, and an apparatus for object detection are provided. The apparatus may determine a regression vector using a neural network based on an input image that contains an object. The object may have a planar surface with a known shape. The apparatus may derive a transform matrix based on the regression vector. The apparatus may identify a precise boundary of the object based on the transform matrix. The precise boundary of the object may include a plurality of vertices of the object. To identify the boundary of the object, the apparatus may apply the transform matrix to a determined shape of the object.

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