Moving-Body Position Reproduction with Density-Adaptive Update Cycles
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Solution Overview
Problem
Existing systems face high processing loads when reproducing real-world traffic environments in virtual spaces due to frequent updates of moving body positions, which increases computational demands.
Innovation Solution
An information processing system that determines acquisition and transmission cycles based on the density of moving bodies within a set zone, synchronizing sensor operations to optimize data collection and reduce processing load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the cycle for acquiring moving body information is minimized to accurately reproduce real-world positions in virtual space, then the accuracy of position reproduction is improved, but the processing load on the device increases
Solution Approach 1:
The patent applies local quality by differentiating the acquisition cycle based on spatial location. High-density zones (where many moving bodies are present) use longer acquisition cycles to reduce processing load, while low-density zones use shorter cycles to maintain accuracy. This spatially varying approach optimizes the balance between reproduction accuracy and processing requirements for different regions of the virtual space.
Solution Approach 2:
The patent implements dynamics by making the acquisition cycle adaptive rather than fixed. The cycle dynamically adjusts based on the density of moving bodies in each zone - automatically extending in high-density areas and shortening in low-density areas. This dynamic adjustment allows the system to maintain accuracy where needed while reducing processing load where fewer updates are necessary.
2Power
If the acquisition cycle is extended to reduce processing load, then the processing load is reduced, but the accuracy of reproducing moving body positions deteriorates
Solution Approach 1:
The patent applies local quality by differentiating the acquisition cycle based on spatial location. High-density zones (where many moving bodies are present) use longer acquisition cycles to reduce processing load, while low-density zones use shorter cycles to maintain accuracy. This spatially varying approach optimizes the balance between reproduction accuracy and processing requirements for different regions of the virtual space.
Solution Approach 2:
The patent implements dynamics by making the acquisition cycle adaptive rather than fixed. The cycle dynamically adjusts based on the density of moving bodies in each zone - automatically extending in high-density areas and shortening in low-density areas. This dynamic adjustment allows the system to maintain accuracy where needed while reducing processing load where fewer updates are necessary.
Data Source
AI summary
An information processing system is configured to acquire moving body information at a set cycle. The moving body information indicates a position of each of multiple moving bodies located in the real world. The information processing system is configured to calculate predicted moving body information based on the moving body information. The predicted moving body information indicates a predicted position of each of the moving bodies at a time after the moving body information was acquired. The information processing system is configured to acquire, using the moving body information, information related to a density of the moving bodies located within a set zone. The information processing system is configured to determine a cycle using information related to the density.


