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公开(公告)号：US20190051017A1
公开(公告)日：2019-02-14
申请号：US16018687
申请日：2018-06-26
Applicant: Intel Corporation
Inventor： Petrus van Beek
CPC classification number: G06T9/00 , G06T7/521 , G06T7/55 , G06T9/001 , G06T2207/10028 , G06T2207/30252
Abstract: Methods and apparatus relating to image-based compression of Light Detection And Ranging (LIDAR) sensor data with point re-ordering are described. In an embodiment, logic receives distance sensor data and converts the received distance sensor data to point cloud data. The point cloud data corresponds to a set of points in a three dimensional (3D) space. The logic circuitry packs/organizes the converted point cloud data into one or more two dimensional (2D) arrays. Data stored in the one or more 2D arrays are compressed to generate a compressed version of the point cloud data. Other embodiments are also disclosed and claimed.
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公开(公告)号：US11531109B2
公开(公告)日：2022-12-20
申请号：US16370990
申请日：2019-03-30
Applicant: Intel Corporation
Inventor： Naissa Conde , Suhel Jaber , Pragya Agrawal , Darshana Salvi , Petrus van Beek
Abstract: Technologies for managing a world model of a monitored area includes a roadway server configured to receive LIDAR sensing data from a LIDAR sensing system positioned to monitor the monitored area and generate a world map of the monitored area based on the LIDAR sensing data. The world model includes data that identifies objects located in the monitored area. The roadway server may distribute the world model to automated vehicles traveling through the monitored area via a stream or in response to directed requests. The roadway server may also receive sensor data from the automated vehicles, which may be used to generate the world model. The roadway server may distribute the world model to other interested devices located in or near the monitored area.
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公开(公告)号：US10796457B2
公开(公告)日：2020-10-06
申请号：US16018687
申请日：2018-06-26
Applicant: Intel Corporation
Inventor： Petrus van Beek
Abstract: Methods and apparatus relating to image-based compression of Light Detection And Ranging (LIDAR) sensor data with point re-ordering are described. In an embodiment, logic receives distance sensor data and converts the received distance sensor data to point cloud data. The point cloud data corresponds to a set of points in a three dimensional (3D) space. The logic circuitry packs/organizes the converted point cloud data into one or more two dimensional (2D) arrays. Data stored in the one or more 2D arrays are compressed to generate a compressed version of the point cloud data. Other embodiments are also disclosed and claimed.
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