Virtual Environment Tracking Performance Evaluation
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Solution Overview
Problem
Existing tracking devices, such as those performing simultaneous localization and mapping (SLAM), often face poor tracking performance in environments with insufficient feature points, leading to the need for costly and labor-intensive adjustments to the environment.
Innovation Solution
A tracking performance evaluation method and host that establish a virtual environment, simulate the tracking function of a virtual tracking device, and provide a performance evaluation based on the tracking results, allowing for simulation and adjustment of the environment to optimize tracking performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the tracking device performs SLAM in an environment with simple arrangement (few feature points), then the device can operate without environmental adjustments, but the tracking performance is poor
Solution Approach 1:
The system performs preliminary evaluation of tracking performance by simulating SLAM algorithms in a virtual environment before actual deployment. This allows assessment of whether the physical environment has sufficient feature points and appropriate arrangement, enabling proactive environmental optimization rather than reactive adjustments after deployment
Solution Approach 2:
The system creates a virtual copy of the physical environment and uses this digital twin to simulate tracking device behavior. By evaluating SLAM performance in this virtual replica, the system can predict real-world tracking performance without requiring actual physical trials, thus resolving the contradiction between ensuring reliable tracking and avoiding complex environmental rearrangements
2Reliability
If the environment is adjusted to improve tracking performance after SLAM deployment, then tracking performance improves, but cost and manpower consumption increase
Solution Approach 1:
The system evaluates tracking performance in advance using virtual environment simulation before actual SLAM deployment. By identifying potential tracking performance issues beforehand, the system prevents the need for costly and time-consuming environmental adjustments after deployment, thus resolving the contradiction between achieving good tracking performance and avoiding adjustment costs
3Stability of the object's composition
If the venue is large or arrangement is difficult to change, then the environment is more stable, but the difficulty of adjusting the environment increases
Solution Approach 1:
The system performs preliminary tracking performance evaluation in a virtual representation of the environment before deployment. This allows assessment of whether the existing stable environment (large venue or difficult-to-change arrangement) is suitable for SLAM operations, eliminating the need for subsequent environmental adjustments while maintaining stability
Solution Approach 2:
By creating and evaluating a virtual copy of the physical environment, the system can assess tracking performance without physically modifying the stable environment. This digital twin approach allows adaptability evaluation and optimization without compromising the physical environment's stability
Data Source
AI summary
Embodiments of the invention provide a tracking performance evaluation method and a host. The method includes: establishing a virtual environment; obtaining a tracking result of a virtual tracking device executing a tracking function in the virtual environment; and providing a tracking performance evaluation result for the virtual environment based on the tracking result.