ROS Data Acquisition Buffer for Driverless Vehicle Location Accuracy
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Solution Overview
Problem
Existing driverless vehicles face challenges in accurately calculating their location due to complex and limited location coordination conversion relationships, leading to potential improper judgment and control issues if data is imprecise or false.
Innovation Solution
A method and apparatus for acquiring data in a robot operating system that involves real-time monitoring of data storage areas, obtaining updated location state data based on temporal tags, and storing it in a data buffer to ensure accuracy and robustness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If location coordinate conversion relationship is used to calculate current location, then location information can be obtained, but the calculation is complex and the information is limited and simple
Solution Approach 1:
The patent extracts only the necessary location information directly from sensor data without performing complex coordinate conversions. Instead of transforming data through multiple coordinate systems, the system directly obtains location coordinates from the location sensor, eliminating unnecessary calculation steps while maintaining measurement precision.
Solution Approach 2:
The patent introduces a data buffer as an intermediary component between the location sensor and the control system. This buffer stores location state data with temporal tags, allowing the system to access recent location information without complex real-time calculations, thus simplifying the calculation process while preserving accuracy.
2Loss of information
If data are relayed through robot operating system with location coordination conversion, then information transmission is achieved, but the data processing is complex and information is limited
Solution Approach 1:
The patent extracts essential location state data directly from sensors and stores it in a data buffer with temporal tags. This extraction approach retrieves only the necessary information (location coordinates and timestamp) without undergoing complex coordinate conversions, thereby reducing data processing complexity while maintaining information completeness.
Solution Approach 2:
The patent performs preliminary data preparation by storing location state data with temporal tags in a data buffer before control decisions are made. This preliminary action organizes data in advance with proper timing information, eliminating the need for complex real-time data processing and coordinate transformations during critical control operations.
3Reliability
If location coordinate conversion relationship is used, then location data can be obtained, but the control accuracy may be compromised if data is imprecise or false
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors the data buffer for updated location state data with temporal tags. By checking the temporal tags to ensure data freshness and using the most recent accurate location information, the system maintains control accuracy and reliability without relying on complex coordinate conversions that could introduce errors.
Data Source
AI summary
This disclosures discloses a method and apparatus for acquiring data in a robot operating system. A specific implementation of the method includes: monitoring in real time a data storage area of an information acquirer, the information acquirer configured to acquire location state data of a driverless vehicle; obtaining updated data if the updated data are present in the data storage area; and storing the updated data into a data buffer corresponding to the information acquirer. The implementation improves the robustness of the data.