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US Patent 11747444 LiDAR-based object detection and classification

Patent 11747444 was granted and assigned to Intel on September, 2023 by the United States Patent and Trademark Office.

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Patent
Patent

Patent attributes

Patent Applicant
Intel
Intel
Current Assignee
Intel
Intel
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11747444
Patent Inventor Names
Monica Lucia Martinez-Canales
Rita Chattopadhyay
Date of Patent
September 5, 2023
Patent Application Number
16103674
Date Filed
August 14, 2018
Patent Citations
‌
US Patent 10509947 Converting multi-dimensional data for image analysis
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US Patent 7995055 Classifying objects in a scene
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US Patent 8761498 Face and license plate detection in street level images with 3-D road width features estimated from laser data
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US Patent 9014905 Cyclist hand signal detection by an autonomous vehicle
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US Patent 9412271 Traffic flow through an intersection by reducing platoon interference
‌
US Patent 10510154 Adaptive processing of spatial imaging data
Patent Primary Examiner
‌
Hovhannes Baghdasaryan

Various systems and methods for implementing LiDAR-based object detection and classification are described herein. An object detection system includes a feature extraction and object identification (FEOI) circuit to: receive segmented data of an environment around the object detection system, the segmented data obtained using a light imaging detection and ranging (LiDAR) system, oriented with respect to a direction of travel; compute spatial and structural parameters of a segment of the segmented data; and use the spatial and structural parameters with a machine learning model to obtain a classification of the segment.

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