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US Patent 10509947 Converting multi-dimensional data for image analysis

Patent 10509947 was granted and assigned to Zoox on December, 2019 by the United States Patent and Trademark Office.

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Patent
Patent

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Current Assignee
Zoox
Zoox
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10509947
Date of Patent
December 17, 2019
Patent Application Number
15484365
Date Filed
April 11, 2017
Patent Citations Received
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US Patent 12130628 Ground plane estimation using LiDAR semantic network
0
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US Patent D971244 Display screen or portion thereof having an animated graphical user interface
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US Patent D971255 Display screen or portion thereof having a graphical user interface
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US Patent 11989900 Object recognition neural network for amodal center prediction
0
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US Patent 12118798 Autonomous vehicle system for performing object detections using a logistic cylinder pedestrian model
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US Patent 11461958 Scene data obtaining method and model training method, apparatus and computer readable storage medium using the same
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US Patent 11531113 System and methods for object detection and tracking using a lidar observation model
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US Patent 10650548 Method and device for localization of autonomous vehicle for route planning by using attention-driven landmark detection
...
Patent Primary Examiner
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Fayyaz Alam
Patent abstract

Multi-dimensional data can be mapped to a projection shape and converted for image analysis. In some examples, the multi-dimensional data may include data captured by a LIDAR system for use in conjunction with a perception system for an autonomous vehicle. Converting operations can include converting three-dimensional LIDAR data to multi-channel two-dimensional data. Data points of the multi-dimensional data can be mapped to a projection shape, such as a sphere. Characteristics of the projection shape may include a shape, a field of view, a resolution, and a projection type. After data is mapped to the projection shape, the projection shape can be converted to a multi-channel, two-dimensional image. Image segmentation and classification may be performed on the two-dimensional data. Further, segmentation information may be used to segment the three-dimensional LIDAR data, while a rendering plane may be positioned relative to the segmented data to perform classification on a per-object basis.

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