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US Patent 11836623 Object detection and property determination for autonomous vehicles

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Contents

Is a
Patent
Patent
0

Patent attributes

Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
0
Patent Number
118366230
Patent Inventor Names
Eric Randall Kee0
Gregory P. Meyer0
Ankit Laddha0
Carlos Vallespi-Gonzalez0
Date of Patent
December 5, 2023
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Patent Application Number
175161590
Date Filed
November 1, 2021
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Patent Citations
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US Patent 9956910 Audible notification systems and methods for autonomous vehicles
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US Patent 8195394 Object detection and classification for autonomous vehicles
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US Patent 8558679 Method of analyzing the surroundings of a vehicle
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US Patent 8744741 Lidars
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US Patent 8886382 Method and system for regulating movement of an entity between zones
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US Patent 9996082 Autonomous vehicle re-tasking during performance of a programmed task based on detection of a task interruption scenario
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US Patent 10054678 Minimizing incorrect sensor data associations for autonomous vehicles
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US Patent 10108867 Image-based pedestrian detection
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Patent Primary Examiner
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Amir Alavi
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CPC Code
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G06K 9/6262
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G05D 1/0088
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G06T 7/30
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H04N 3/02
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G06K 9/6254
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H04N 3/08
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G08G 1/054
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B60R 1/00
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Patent abstract

Systems, methods, tangible non-transitory computer-readable media, and devices for detecting objects are provided. For example, the disclosed technology can obtain a representation of sensor data associated with an environment surrounding a vehicle. Further, the sensor data can include sensor data points. A point classification and point property estimation can be determined for each of the sensor data points and a portion of the sensor data points can be clustered into an object instance based on the point classification and point property estimation for each of the sensor data points. A collection of point classifications and point property estimations can be determined for the portion of the sensor data points clustered into the object instance. Furthermore, object instance property estimations for the object instance can be determined based on the collection of point classifications and point property estimations for the portion of the sensor data points clustered into the object instance.

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