View source for Lg electronics inc. (20240121436). POINT CLOUD DATA TRANSMISSION DEVICE, POINT CLOUD DATA TRANSMISSION METHOD, POINT CLOUD DATA RECEPTION DEVICE, AND POINT CLOUD DATA RECEPTION METHOD simplified abstract

=POINT CLOUD DATA TRANSMISSION DEVICE, POINT CLOUD DATA TRANSMISSION METHOD, POINT CLOUD DATA RECEPTION DEVICE, AND POINT CLOUD DATA RECEPTION METHOD=


==Organization Name==

[[:Category:lg electronics inc.|lg electronics inc.]]


[[Category:lg electronics inc.]]

==Inventor(s)==

[[:Category:Hyejung Hur of Seoul (KR)|Hyejung Hur of Seoul (KR)]][[Category:Hyejung Hur of Seoul (KR)]]

[[:Category:Sejin Oh of Seoul (KR)|Sejin Oh of Seoul (KR)]][[Category:Sejin Oh of Seoul (KR)]]

==POINT CLOUD DATA TRANSMISSION DEVICE, POINT CLOUD DATA TRANSMISSION METHOD, POINT CLOUD DATA RECEPTION DEVICE, AND POINT CLOUD DATA RECEPTION METHOD - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240121436 titled 'POINT CLOUD DATA TRANSMISSION DEVICE, POINT CLOUD DATA TRANSMISSION METHOD, POINT CLOUD DATA RECEPTION DEVICE, AND POINT CLOUD DATA RECEPTION METHOD

==Simplified Explanation==

The abstract describes a method for receiving and transmitting point cloud data through encoding and decoding a bitstream.

* Receiving point cloud data involves receiving a bitstream containing the data.
* Decoding the point cloud data from the received bitstream.
* Transmitting point cloud data involves encoding the data.
* Transmitting a bitstream containing the encoded point cloud data.

== Potential Applications ==
Point cloud data transmission and reception can be used in various industries such as:
* Virtual reality and augmented reality applications.
* Autonomous vehicles for navigation and obstacle detection.
* 3D modeling and mapping for architecture and construction.

== Problems Solved ==
This technology solves the following problems:
* Efficient transmission and reception of large amounts of point cloud data.
* Ensuring data integrity and accuracy during transmission and decoding.

== Benefits ==
The benefits of this technology include:
* Real-time processing and visualization of complex 3D data.
* Improved accuracy and reliability in data transmission.
* Enhanced performance in applications requiring point cloud data.

== Potential Commercial Applications ==
The technology can be commercially applied in:
* Cloud-based services for point cloud data processing.
* Data storage and retrieval systems for 3D mapping applications.

== Possible Prior Art ==
One possible prior art could be the use of compression algorithms for point cloud data transmission and storage.

=== Unanswered Questions ===

=== How does this method compare to existing point cloud data transmission techniques? ===
This article does not provide a direct comparison with existing methods, leaving the reader to wonder about the advantages and disadvantages of this new approach.

=== What are the specific encoding and decoding algorithms used in this method? ===
The article does not delve into the technical details of the encoding and decoding processes, leaving a gap in understanding the inner workings of the technology.


==Original Abstract Submitted==

disclosed herein is a method for receiving point cloud data, including receiving a bitstream containing the point cloud data, and decoding the point cloud data. disclosed herein is a method for transmitting point cloud data, including encoding the point cloud data, and transmitting a bitstream containing the point cloud data.



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