Vehicle Localization Validation With Speed Voting Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Despite the use of multiple independent localization data sources and fusion algorithms, there remains a risk of flawed calculated vehicle localization, necessitating a method and system for validating the calculated localization and adjusting the vehicle's speed accordingly.
Innovation Solution
A system that processes data from multiple independent localization data sources, compares it with the calculated localization, and issues command signals to adjust the vehicle's speed or bring it to a halt based on the reliability and compatibility of the data sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple independent localization data sources and fusion algorithms are implemented, then the accuracy and reliability of vehicle localization is improved, but the risk of flawed localization remains due to potential sensor failures, bugs, or environmental changes
Solution Approach 1:
The validation module continuously monitors localization data from multiple sources and provides feedback by comparing calculated localization with expected values. When deviations exceed thresholds, the system adjusts vehicle speed or halts operation, creating a closed-loop feedback mechanism that maintains reliability despite potential sensor failures or environmental changes.
Solution Approach 2:
The system performs preliminary validation of localization data before relying on it for navigation decisions. By pre-assessing the quality and consistency of data from multiple localization sources through the validation module, the system identifies and corrects potential errors before they affect vehicle operation, preventing flawed localization from causing harm.
2Productivity
If the vehicle operates at higher speeds, then productivity is improved, but safety is compromised when localization accuracy is uncertain
Solution Approach 1:
The system dynamically adjusts vehicle speed based on real-time localization validation results. When localization data from multiple sources is consistent and reliable, the vehicle can operate at higher speeds for improved productivity. When deviations are detected or reliability drops below thresholds, the system automatically reduces speed or halts operation to maintain safety, creating a dynamic speed adjustment mechanism that balances productivity and safety.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A method and system for validating the calculated localization (15) of a vehicle are devised. The vehicle (1) is equipped with P independent localization data sources (2-8), with P higher than or equal to 2. The method and system involve the step of comparing data provided by each one of a subset of M, with M lower than or equal to P, of the independent localization data sources with the calculated localization, by correlating an independent localization data source among the subset M if it is above a predetermined Reliability Threshold, and the distance between the data it provides and the calculated localization is lower than a predetermined Compatibility Threshold, and disregarding an independent localization data source among the subset M if either it is below the predetermined Reliability Threshold, or the distance between the data it provides and the calculated localization is higher than the predetermined Compatibility Threshold, and the step of modifying the speed of the vehicle (1) depending on the number of correlated independent localization data sources among the subset M relative to a predetermined Voting Threshold.