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US Patent 10916035 Camera calibration using dense depth maps

Patent 10916035 was granted and assigned to Zoox on February, 2021 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
0

Patent attributes

Patent Applicant
Zoox
Zoox
0
Current Assignee
Zoox
Zoox
0
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
109160350
Patent Inventor Names
Till Kroeger0
Date of Patent
February 9, 2021
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Patent Application Number
162065340
Date Filed
November 30, 2018
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Patent Citations Received
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US Patent 12106502 System and method for determining depth perception in vivo in a surgical robotic system
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US Patent 11514681 System and method to facilitate calibration of sensors in a vehicle
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US Patent 11561553 System and method of providing a multi-modal localization for an object
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US Patent 11303807 Using real time ray tracing for lens remapping
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US Patent 11398095 Monocular depth supervision from 3D bounding boxes
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US Patent 11892574 Dynamic lidar to camera alignment
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US Patent 11475595 Extrinsic calibration of multi-camera system
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US Patent 11604245 Method for establishing the presence of a misalignment of at least one sensor within a sensor group
0
...
Patent Primary Examiner
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Atul Trivedi
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Patent abstract

This disclosure is directed to calibrating sensor arrays, including sensors arrays mounted on an autonomous vehicle. Image data from multiple cameras in the sensor array can be projected into other camera spaces using one or more dense depth maps. The dense depth map(s) can be generated from point cloud data generated by one of the sensors in the array. Differences determined by the comparison can indicate alignment errors between the cameras. Calibration data associated with the errors can be determined and used to calibrate the sensor array without the need for calibration infrastructure.

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