Position Sensing Switch Logic for GPS and IMU Blind Spots
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Solution Overview
Problem
Existing work recognition systems face challenges in ensuring the robustness and accuracy of data acquisition due to obstacles such as blind spots and interference with GPS radio waves, especially when using multiple devices like cameras, GPS, and IMU.
Innovation Solution
A position information acquisition system that includes a position information acquisition unit to gather data from multiple sensors or devices and a switching unit to automatically select the most appropriate device based on a divided area around the object, ensuring robust and accurate data acquisition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple sensors or devices are used to acquire position information, then the robustness and accuracy of data acquisition is improved, but the device complexity increases
Solution Approach 1:
The peripheral area around the object is divided into multiple divided areas (first, second, third, and fourth divided areas). Different sensors or devices are assigned to different divided areas based on their characteristics and suitability for specific positions. This segmentation allows the system to use multiple devices strategically rather than uniformly, improving robustness while managing complexity through organized distribution.
Solution Approach 2:
Different types of sensors or devices are deployed in different divided areas based on local requirements. For example, certain areas may benefit more from GPS devices while others may be better suited for IMU sensors. This local optimization ensures that each device is used where it performs best, enhancing overall system reliability without unnecessarily increasing complexity throughout the entire system.
2Measurement precision
If multiple sensors or devices are used to acquire position information, then the accuracy of data acquisition is improved, but the device complexity increases
Solution Approach 1:
The acquisition area is segmented into divided areas, with specific sensors or devices assigned to each area based on accuracy requirements. This allows high-precision devices to be concentrated in areas where maximum accuracy is critical, while using simpler devices in areas where lower precision is acceptable, thereby improving overall measurement precision without uniformly increasing device complexity.
Solution Approach 2:
Different divided areas have different quality requirements for position information. The system applies local quality principles by deploying appropriate sensors in each area - for example, using more accurate GPS reception in open areas and complementary IMU data in areas with signal blockage. This ensures high accuracy where needed while avoiding unnecessary complexity in areas where simpler solutions suffice.
3Device complexity
If a single sensor or device is used to acquire position information, then the device complexity is reduced, but the robustness of data acquisition deteriorates due to blind spots and interference
Solution Approach 1:
The system merges multiple sensors or devices (GPS, IMU, and other position detection devices) into a unified position information acquisition system. These devices work together across different divided areas, with their data integrated to provide comprehensive coverage. This merging approach ensures robustness by compensating for the limitations of individual devices (such as GPS blind spots) through complementary sensing, while maintaining manageable complexity through coordinated operation.
Solution Approach 2:
The position information acquisition system is designed with multi-functionality, where different sensors serve multiple purposes across different divided areas. For example, GPS devices provide position information in open areas while IMU sensors provide both position and orientation data in areas with signal blockage. This universal approach allows the system to maintain robustness through device versatility without requiring entirely separate systems for different functions, thereby controlling overall complexity.
Data Source
AI summary
Provided is a position information acquisition system including: a position information acquisition unit configured to acquire position information from a plurality of sensors or devices operating on an object; and a switching unit configured to switch the sensor or the device for acquiring the position information according to a divided area, the divided area being a divided peripheral area of the object.