18054512. POINT CLOUD REPORTING IN CELLULAR SYSTEMS simplified abstract (QUALCOMM Incorporated)

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POINT CLOUD REPORTING IN CELLULAR SYSTEMS

Organization Name

QUALCOMM Incorporated

Inventor(s)

Marwen Zorgui of San Diego CA (US)

Srinivas Yerramalli of San Diego CA (US)

Rajat Prakash of San Diego CA (US)

Xiaoxia Zhang of San Diego CA (US)

POINT CLOUD REPORTING IN CELLULAR SYSTEMS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18054512 titled 'POINT CLOUD REPORTING IN CELLULAR SYSTEMS

Simplified Explanation

The abstract describes a system where a first network entity identifies a point cloud with multiple points associated with RF sensing and transmits it to a second network entity for sensing operations. The point cloud is based on radar data cubes and includes information on range, velocity, and angles, associated with either a local or global coordinate system.

  • Point cloud includes multiple points associated with RF sensing
  • First network entity transmits point cloud to second network entity for sensing operations
  • Point cloud based on radar data cubes
  • Each point includes information on range, velocity, and angles
  • Point cloud associated with local or global coordinate system

Potential Applications

The technology described in this patent application could have potential applications in:

  • Autonomous vehicles for improved sensing capabilities
  • Surveillance systems for enhanced monitoring and tracking

Problems Solved

This technology helps solve the following problems:

  • Enhancing sensing capabilities in RF-based systems
  • Improving coordination between network entities for efficient sensing operations

Benefits

The benefits of this technology include:

  • Enhanced accuracy and precision in sensing operations
  • Increased efficiency in data transmission and processing

Potential Commercial Applications

With its improved sensing capabilities, this technology could be applied in various commercial sectors such as:

  • Defense and security for advanced surveillance systems
  • Automotive industry for autonomous driving technology

Possible Prior Art

One possible prior art for this technology could be the use of point clouds in LiDAR systems for 3D mapping and object detection.

What are the specific radar data cubes used in this system?

The specific radar data cubes used in this system are not explicitly mentioned in the abstract. Further details on the composition and structure of these radar data cubes would provide a better understanding of the technology.

How does the system handle discrepancies between local and global coordinate systems?

The abstract mentions that the point cloud can be associated with either a local or global coordinate system. It would be interesting to know how the system manages and resolves any discrepancies that may arise when transitioning between these coordinate systems.


Original Abstract Submitted

A first network entity may identify a point cloud including a plurality of points associated with RF sensing. The first network entity may transmit an indication of the point cloud for a second network entity. The second network entity may perform a sensing operation based on the received point cloud. The point cloud may be based on one or more radar data cubes. Each point in the plurality of points may be associated with at least one of a range, a velocity, or one or more angles. The point cloud may be associated with a local coordinate system associated with the first network entity or a global coordinate system.