Lg electronics inc. (20240121435). POINT CLOUD DATA TRANSMISSION DEVICE, POINT CLOUD DATA TRANSMISSION METHOD, POINT CLOUD DATA RECEPTION DEVICE, AND POINT CLOUD DATA RECEPTION METHOD simplified abstract

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

Organization Name

lg electronics inc.

Inventor(s)

Yousun Park of Seoul (KR)

Hyejung Hur 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 20240121435 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 encoding and transmitting point cloud data, as well as a method for receiving and decoding the data.

  • Encoding and transmitting point cloud data
  • Receiving and decoding point cloud data

Potential Applications

The technology could be used in various fields such as:

  • 3D modeling and visualization
  • Augmented reality
  • Autonomous driving

Problems Solved

  • Efficient transmission of large point cloud data
  • Secure data transfer
  • Real-time data processing

Benefits

  • Reduced bandwidth usage
  • Improved data accuracy
  • Faster data transmission and processing

Potential Commercial Applications

  • Cloud computing services
  • Remote sensing applications
  • Virtual reality platforms

Possible Prior Art

One possible prior art could be the use of compression algorithms for transmitting 3D data, but specific methods for encoding and decoding point cloud data may be novel.

What are the potential security implications of transmitting point cloud data over networks?

Transmitting point cloud data over networks could raise concerns about data privacy and security. Encryption methods should be implemented to protect the data from unauthorized access.

How does the efficiency of encoding and decoding point cloud data impact real-time applications such as autonomous driving?

Efficient encoding and decoding of point cloud data are crucial for real-time applications like autonomous driving, as any delays in processing the data could lead to safety risks. By optimizing these processes, the technology can enhance the performance and reliability of autonomous driving systems.


Original Abstract Submitted

a point cloud data transmission method according to embodiments may comprise the steps of: encoding point cloud data; and transmitting a bitstream including the point cloud data. a point cloud data reception method according to embodiments may comprise the steps of: receiving a bitstream including point cloud data; and decoding the point cloud data.