18575807. METHOD AND APPARATUS OF ENCODING/DECODING POINT CLOUD CAPTURED BY A SPINNING SENSORS HEAD simplified abstract (BEIJING XIAOMI MOBILE SOFTWARE CO., LTD.)
Contents
- 1 METHOD AND APPARATUS OF ENCODING/DECODING POINT CLOUD CAPTURED BY A SPINNING SENSORS HEAD
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND APPARATUS OF ENCODING/DECODING POINT CLOUD CAPTURED BY A SPINNING SENSORS HEAD - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
METHOD AND APPARATUS OF ENCODING/DECODING POINT CLOUD CAPTURED BY A SPINNING SENSORS HEAD
Organization Name
BEIJING XIAOMI MOBILE SOFTWARE CO., LTD.
Inventor(s)
Sebastien Lasserre of Beijing (CN)
Jonathan Taquet of Beijing (CN)
METHOD AND APPARATUS OF ENCODING/DECODING POINT CLOUD CAPTURED BY A SPINNING SENSORS HEAD - A simplified explanation of the abstract
This abstract first appeared for US patent application 18575807 titled 'METHOD AND APPARATUS OF ENCODING/DECODING POINT CLOUD CAPTURED BY A SPINNING SENSORS HEAD
Simplified Explanation
The patent application describes methods and apparatus for encoding/decoding a point cloud captured by a set of sensors. The encoding method involves ordering points in the point cloud based on azimuthal angles and sensor indices, identifying duplicated points, and encoding the order index difference between points.
- Ordering points in a point cloud based on azimuthal angles and sensor indices
- Identifying duplicated points in the ordered list
- Encoding the number of duplicated points and the order index difference between points
Potential Applications
This technology could be applied in autonomous vehicles, robotics, 3D mapping, and augmented reality systems.
Problems Solved
This technology solves the problem of efficiently encoding and decoding large point clouds captured by multiple sensors.
Benefits
The benefits of this technology include improved data compression, faster data processing, and more efficient storage of point cloud data.
Potential Commercial Applications
The potential commercial applications of this technology include autonomous driving systems, industrial automation, virtual reality applications, and geospatial mapping services.
Possible Prior Art
One possible prior art for this technology could be methods for encoding and decoding point cloud data in the field of computer graphics and 3D modeling.
Unanswered Questions
How does this technology compare to existing point cloud encoding methods?
This article does not provide a direct comparison with existing point cloud encoding methods. It would be helpful to understand the specific advantages and limitations of this technology in comparison to others.
What are the computational requirements for implementing this encoding/decoding method?
The article does not mention the computational resources needed to implement this encoding/decoding method. Understanding the computational requirements would be crucial for assessing the practicality of this technology in real-world applications.
Original Abstract Submitted
There is provided methods and apparatus of encoding/decoding a point cloud captured by a set of sensors. The encoding method obtains a list of ordered points of the point cloud by ordering the points according to a lexicographic order based on azimuthal angles and sensor indices associated with points of the point cloud; obtains a next point following a current point in the list of ordered points and having an order index different of an order index of the current point, and obtains a number of duplicated points equals to a number of points following the current point that have an order index equals to the order index of the current point; encodes the number of duplicated points and encodes an order index difference representing a difference between the order index of the next point and the order index of the current point.
