3D Position Processing With Abnormality Handling and Selective Data Access
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Solution Overview
Problem
Current methods for processing three-dimensional data lack functionality for random access and efficient data transmission, particularly in applications requiring selective transmission of necessary information based on intended use, leading to inefficiencies in data handling and processing.
Innovation Solution
The proposed solution involves a three-dimensional data encoding method that divides data into random access units associated with three-dimensional coordinates, allowing for efficient encoding and decoding, and selectively transmits data based on features and intended use, using techniques such as sparse world representation and differential encoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If three-dimensional data is compressed and encoded for accumulation and transmission, then data transmission efficiency is improved, but the ability to perform random access and selective transmission of necessary information deteriorates
Solution Approach 1:
The three-dimensional space is divided into multiple octants, and each octant is further divided into voxels that can be independently encoded and transmitted. This segmentation allows selective transmission of only necessary regions based on intended use, enabling both efficient data compression and random access capability. The patent applies octree-based progressive geometry coding where the three-dimensional data structure is hierarchically segmented into manageable units.
2Loss of information
If a massive amount of three-dimensional point cloud data is stored and transmitted, then data completeness is improved, but data transmission volume and processing load increase
Solution Approach 1:
The patent extracts and transmits only the necessary portions of three-dimensional data based on the intended application. By using the segmented octant and voxel structure, the system can extract and transmit specific regions of interest rather than the entire point cloud, significantly reducing data transmission volume while maintaining data completeness for the required areas.
Solution Approach 2:
Instead of transmitting complete three-dimensional data, the patent implements partial transmission by sending only the necessary voxels and octants required for the specific application. This partial action approach reduces data transmission volume while providing sufficient information for tasks such as autonomous vehicle navigation or map rendering, where not all three-dimensional data is equally important.
3Measurement precision
If three-dimensional position information is obtained from multiple sources (map data and sensor detection), then information accuracy is improved, but the complexity of judging and coping with abnormalities increases
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously compares first three-dimensional position information (from map data) with second three-dimensional position information (from sensor detection). When abnormalities are detected through this comparison, the system provides feedback to determine appropriate coping operations, such as switching between information sources or adjusting processing parameters. This feedback loop manages the complexity by providing a structured approach to abnormality handling.
Data Source
AI summary
A three-dimensional information processing method includes: obtaining, via a communication channel, map data that includes first three-dimensional position information; generating second three-dimensional position information from information detected by a sensor; judging whether one of the first three-dimensional position information and the second three-dimensional position information is abnormal by performing, on one of the first three-dimensional position information and the second three-dimensional position information, a process of judging whether an abnormality is present; determining a coping operation to cope with the abnormality when one of the first three-dimensional position information and the second three-dimensional position information is judged to be abnormal; and executing a control that is required to perform the coping operation.