Target Region Position Fusion for Accurate Boundary Positioning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing positioning methods for target regions suffer from lower accuracy due to varying observation distances and angles, leading to inconsistent and less precise positioning results.
Innovation Solution
The method involves acquiring first and second position and pose data, and then performing region position fusion processing on the first region to acquire a third region position, where the first region position and the second region position to acquire a third region position, using weights based on observation distance and angle, and optionally performing further fusion with other region positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single position and pose data is used for positioning, then the positioning process is simple, but the positioning accuracy is low
Solution Approach 1:
The patent combines multiple position and pose data (first position and pose data, second position and pose data, and third position and pose data) into a unified positioning result through fusion processing. This merging of multiple observations resolves the contradiction by achieving high positioning accuracy through comprehensive data integration while maintaining a relatively simple processing framework
Solution Approach 2:
The patent performs preliminary actions by acquiring multiple position and pose data at different observation distances and angles before final positioning. The system pre-processes this data to determine weights and fusion parameters, then executes the final positioning calculation. This preliminary data collection and preparation enables accurate positioning without complicating the core positioning algorithm
2Measurement precision
If region position fusion processing is performed to improve positioning accuracy, then positioning precision improves, but processing time increases
Solution Approach 1:
The patent changes the parameter of data weight assignment to optimize the balance between positioning precision and processing time. By calculating weights based on observation distance and angle characteristics, the system identifies which position and pose data contribute most to positioning accuracy, then focuses computational resources on fusing only the most relevant data, thereby reducing unnecessary processing time while maintaining high precision
Data Source
Figure 1~2
Figure 3~5
Figure 6~7
AI summary
The embodiments of the present disclosure provide a target region positioning method and apparatus, and an electronic device and a medium. The method includes: acquiring a first region position corresponding to first position and pose data and a second region position corresponding to second position and pose data, where the first region position is a region position of a target region observed under a position and pose corresponding to the first position and pose data, and the second region position is a region position of the target region observed under a position and pose corresponding to the second position and pose data; acquiring a first weight of the first region position and a second weight of the second region position, where the first weight is acquired based on the first position and pose data and the first region position and the second weight is acquired based on the second position and pose data and the second region position; based on the first weight and the second weight, performing region position fusion processing on the first region position and the second region position to acquire a third region position of the target region. In the embodiments of the present disclosure, the positioning accuracy for the target region can be improved.