3D Position Processing with Abnormality Judgment and Random Access
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Solution Overview
Problem
Existing three-dimensional data processing systems lack functionality for random access and efficient data compression, particularly in the event of abnormalities in three-dimensional position information, leading to inefficiencies in data handling and transmission.
Innovation Solution
A method and device for encoding and decoding three-dimensional data that enables random access by dividing data into processing units associated with three-dimensional coordinates, allowing for efficient data compression and handling of abnormalities through selective encoding and decoding strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If three-dimensional position information is obtained from map data and sensor detection, then positioning accuracy is improved, but system complexity increases due to the need for abnormality judgment and coping mechanisms
Solution Approach 1:
The system implements a feedback mechanism by continuously comparing first three-dimensional position information from map data with second three-dimensional position information from sensor detection, judging abnormalities in the obtained position information, and executing coping operations based on the judgment results to maintain positioning accuracy
Solution Approach 2:
The system performs preliminary actions by obtaining map data in advance that includes three-dimensional position information, and preparing coping operations before abnormalities occur, allowing the system to quickly respond to positioning issues without increasing real-time processing complexity
2Quantity of substance
If three-dimensional data is compressed for transmission, then data transmission volume is reduced, but loss of information may occur during compression and decompression
Solution Approach 1:
The system extracts only the necessary three-dimensional position information from the full three-dimensional data for transmission and processing, removing redundant information that would contribute to data volume without providing essential positioning functionality, thus compressing data while preserving critical information
3Reliability
If three-dimensional position information is obtained from multiple sources, then reliability is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The system uses an intermediary abnormality judgment process that compares position information from multiple sources (map data and sensor detection) to identify and resolve inconsistencies, making the multi-source integration manageable by introducing a mediation layer that simplifies the detection and measurement process
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.