3D Spatial Data Segmentation for Random Access Transmission
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Solution Overview
Problem
Current three-dimensional data creation methods face challenges in reducing data transmission amounts and simplifying device structures, particularly in providing random access functionality for encoded three-dimensional data.
Innovation Solution
A method and system involving a client device and server that divide three-dimensional data into random access units, encode them, and enable selective transmission based on features and intended use, allowing for efficient data transmission and decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If three-dimensional data is compressed and encoded for transmission, then the amount of data to be transmitted is reduced, but the device structure becomes more complex
Solution Approach 1:
The patent divides three-dimensional data into multiple independent random access units, each representing a specific spatial region. This segmentation allows selective encoding and transmission of only necessary data portions, reducing overall data transmission requirements while maintaining simpler device architecture through modular processing
2Ease of operation
If random access functionality is implemented for encoded three-dimensional data, then data accessibility is improved, but the encoding complexity increases
Solution Approach 1:
The patent implements random access functionality by segmenting three-dimensional data into distinct random access units with defined spatial boundaries. Each unit can be independently decoded without requiring the entire data set, enabling efficient random access while the modular encoding structure keeps complexity manageable through standardized unit formats
Solution Approach 2:
The patent performs preliminary organization of three-dimensional data into standardized random access units during the encoding phase. This preliminary structuring with clear spatial delimiters and metadata enables rapid random access during decoding without requiring complex real-time processing, thus improving accessibility while controlling encoding complexity
Data Source
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AI summary
A three-dimensional data creation method in a client device (902) equipped in a mobile object includes: creating three-dimensional data (1134) of a surrounding area of the mobile object using sensor information (1037) that is obtained through a sensor (1015) equipped in the mobile object and indicates a surrounding condition of the mobile object (S1004); estimating a self-location of the mobile object using the three-dimensional data (1134) created; and transmitting the sensor information (1037) obtained to a server (901) or an other mobile object (S1012).