Multi-Sensor Positioning Calibration for Indoor-Urban Accuracy
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Solution Overview
Problem
Current positioning calibration systems are limited to specific scenarios or environments, lacking universality and failing to accurately verify the accuracy of new positioning measurement systems in diverse settings such as indoor and urban areas.
Innovation Solution
A positioning calibration system utilizing a movable platform equipped with multiple types of positioning sensors, including UWB, IMU, video, Bluetooth, and satellite navigation, coupled with a data processing apparatus and a background processing device, to acquire and fuse real-time calibration and wireless positioning information, generating dynamic trajectories on a virtual map for accurate calibration across various environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If satellite navigation systems are used for positioning, then outdoor positioning accuracy is improved, but positioning reliability deteriorates in indoor and urban environments due to signal masking
Solution Approach 1:
The patent combines satellite navigation sensors with multiple wireless communication sensors (base station, Wi-Fi, Bluetooth) to create a hybrid positioning system. This merging allows the system to maintain positioning capability across both outdoor and indoor/urban environments by switching between or fusing data from different positioning technologies.
Solution Approach 2:
The positioning calibration system is designed to support multiple positioning technologies and scenarios through a unified architecture. The system can adaptively select and use appropriate positioning methods (satellite, base station, Wi-Fi, Bluetooth) depending on the environment, making it universally applicable across outdoor, indoor, and urban settings.
2Measurement precision
If a positioning calibration system with millimeter-level accuracy is established, then positioning measurement system verification accuracy is improved, but system complexity increases
Solution Approach 1:
The calibration system is divided into distinct functional modules: a movable platform carrying sensors, a data processing apparatus for real-time processing, and a background processing device for calibration computations. This segmentation allows each module to be optimized independently while maintaining overall system accuracy.
Solution Approach 2:
The patent introduces a data processing apparatus as an intermediary between the sensor collection system and the background processing device. This intermediary handles real-time data processing and filtering, reducing the computational burden on the background system while maintaining calibration accuracy.
3Adaptability or versatility
If multiple types of positioning sensors are deployed on the movable platform, then positioning calibration universality is improved, but device complexity increases
Solution Approach 1:
The movable platform is designed as a universal testbed that can carry and activate different combinations of positioning sensors (satellite, base station, Wi-Fi, Bluetooth) depending on the calibration scenario. This multi-functional design allows a single platform to perform calibration across diverse environments without requiring multiple specialized platforms.
Solution Approach 2:
The sensor configuration on the movable platform is dynamic rather than fixed. The system can adaptively enable or disable specific sensor types based on environmental conditions and calibration requirements, optimizing the balance between calibration capability and system complexity for each specific task.
Data Source
AI summary
Provided are a positioning calibration system and method, and a storage medium. The positioning calibration system includes a movable platform (100) and a background processing device (200). The movable platform (100) includes a movable apparatus (110), and a positioning component (120) and a data processing apparatus (130); the positioning module (120) includes at least two different types of positioning sensors (121); the data processing apparatus (130) is configured to acquire wireless positioning information of the movable platform (100) in real time and acquire the original calibration information; the wireless positioning information and the original calibration information both include a position coordinate of the movable platform (100) with a corresponding time stamp when the position coordinate is acquired; the background processing device (200) includes a storage module (210) and a positioning trajectory demonstration module (220).