一种融合无线电频率与机器视觉的多模态室内定位方法
By integrating radio frequency and machine vision into a multimodal indoor positioning method, and combining three levels of data fusion and hierarchical decision-making algorithms, the problem of high-precision real-time positioning in complex indoor environments in existing technologies has been solved, achieving high adaptability and high-precision positioning in different environments.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- YUNTU DATA TECH (ZHENGZHOU) CO LTD
- Filing Date
- 2025-05-12
- Publication Date
- 2026-07-17
AI Technical Summary
Existing indoor positioning technologies have shortcomings in terms of accuracy, real-time performance, deployment cost, and adaptability, especially in complex indoor environments where they struggle to meet the demand for high-precision real-time positioning.
A multimodal indoor positioning method integrating radio frequency and machine vision is adopted. By combining monocular ranging with three levels of data fusion (raw level, feature level, and decision level), the advantages of wireless signals and visual features are combined, and a hierarchical decision algorithm is used to adapt to the needs of multiple scenarios, ensuring the adaptability of the positioning method in different environments.
It effectively compensates for the shortcomings of single-modal positioning in complex environments, achieves high-precision real-time positioning, adapts to the needs of multiple scenarios, and improves the adaptability and accuracy of positioning methods.
Smart Images
Figure CN120593748B_ABST