Dead Reckoning Position Correction for Curved Roads
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Solution Overview
Problem
Conventional dead reckoning navigation methods fail to accurately detect a vehicle's position, especially on roads with special shapes like curved roads or rotaries, due to discrepancies between the actual travel path and the mapped link information.
Innovation Solution
A moving body position detection system that acquires dead reckoning navigation information, compares it with current and neighboring link data, and updates the vehicle's position to correct for deviations, ensuring accurate detection by considering the vehicle's direction and link attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If dead reckoning navigation is used to detect vehicle position based on map link information, then the detection process is simple and does not require additional sensors, but the position detection accuracy deteriorates on roads with special shapes like curved roads or rotaries
Solution Approach 1:
The detection process is segmented into multiple stages: initial position detection using dead reckoning, determination of whether the vehicle is in a special road section, and conditional correction using GPS or other detection means. This segmentation allows the system to use simple dead reckoning for normal roads while applying more accurate methods only when needed, thus resolving the contradiction between simplicity and accuracy.
Solution Approach 2:
The system performs preliminary detection using dead reckoning navigation to obtain an initial position estimate. Based on this preliminary result and road shape information, the system determines whether correction is needed before finalizing the position. This preliminary action allows the system to maintain simplicity for most cases while preparing for accuracy enhancement when necessary.
2Ease of operation
If the vehicle position is detected by assuming the vehicle travels along the mapped link, then the detection process is straightforward, but the detected position deviates from the actual position when the actual path does not match the link shape
Solution Approach 1:
The system uses feedback by comparing the detected position with the actual road geometry and vehicle travel distance. When a discrepancy is detected (indicating the vehicle is in a special road section), the system feeds back to switch to an alternative detection method or apply correction, thus maintaining simplicity while improving accuracy through conditional feedback loops.
Solution Approach 2:
The detection method dynamically switches between dead reckoning navigation and alternative detection methods based on the detected road section characteristics. For normal roads, the system uses simple dead reckoning; for special road sections like rotaries or curved roads, it dynamically transitions to more accurate detection methods, thus adapting the complexity to the actual situation.
3Measurement precision
If GPS or other detection means are always used to correct position, then position accuracy is maintained, but the system complexity and cost increase
Solution Approach 1:
Instead of always using GPS or other detection means, the system applies them partially only when the vehicle is detected to be in a special road section. This partial action approach maintains position accuracy when needed while avoiding the unnecessary complexity and cost of continuously using additional detection means during normal driving conditions.
Solution Approach 2:
The system applies different detection qualities to different road sections: using simple dead reckoning for normal roads and more accurate GPS-based detection only for special road sections. This local quality differentiation ensures high accuracy where needed while maintaining system simplicity for the majority of driving conditions, thus resolving the contradiction between accuracy and complexity.
Data Source
AI summary
A moving body position detection system including a unit that acquires dead reckoning navigation information on a moving body; a unit that identifies a position on the moving body on a link based on the dead reckoning navigation information on the moving body; a unit that acquires current position link data on a current position link and neighboring link data on a neighboring link. The current position link is a link on which the moving body position is located, and the neighboring link is connected to the current position link. The system also includes a unit that compares the dead reckoning navigation information on the moving body with the current position link data and with the neighboring link data; and a unit that updates the position of the moving body based on a comparison result of the comparison unit.