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US Patent 11745736 System and method for vehicle occlusion detection

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TimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11745736
Patent Inventor Names
Panqu Wang
Pengfei Chen
Zhipeng Yan
Hongkai Yu
Date of Patent
September 5, 2023
Patent Application Number
17006283
Date Filed
August 28, 2020
Patent Citations
‌
US Patent 8917169 Vehicular vision system
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US Patent 9317033 Control of the autonomous mode of bimodal vehicles
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US Patent 9317776 Robust static and moving object detection system via attentional mechanisms
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US Patent 9330334 Iterative saliency map estimation
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US Patent 9342074 Systems and methods for transitioning control of an autonomous vehicle to a driver
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US Patent 9355635 Method and system for video summarization
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US Patent 9365214 Systems and methods for determining the status of a turn lane traffic light
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US Patent 9399397 Cruise control apparatus
...
Patent Primary Examiner
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Frederick M Brushaber
CPC Code
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G06V 10/10
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G06V 10/147
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G06V 10/25
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G06V 10/87
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G06V 10/7753
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G06K 9/6259
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G06K 9/6267
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G06K 9/627
...

A system and method for vehicle occlusion detection is disclosed. A particular embodiment includes: receiving training image data from a training image data collection system; obtaining ground truth data corresponding to the training image data; performing a training phase to train a plurality of classifiers, a first classifier being trained for processing static images of the training image data, a second classifier being trained for processing image sequences of the training image data; receiving image data from an image data collection system associated with an autonomous vehicle; and performing an operational phase including performing feature extraction on the image data, determining a presence of an extracted feature instance in multiple image frames of the image data by tracing the extracted feature instance back to a previous plurality of N frames relative to a current frame, applying the first trained classifier to the extracted feature instance if the extracted feature instance cannot be determined to be present in multiple image frames of the image data, and applying the second trained classifier to the extracted feature instance if the extracted feature instance can be determined to be present in multiple image frames of the image data.

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