Vehicle Position Estimation Using Turning Point Data Retention
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional vehicle position estimation methods face challenges in maintaining accuracy while managing the amount of target position data, particularly when only straight-line target data is available, leading to incomplete reference points for accurate vehicle positioning.
Innovation Solution
The solution involves retaining target position data within specific ranges from the present location and turning points, using these data points as references to estimate vehicle position, and strategically deleting or thinning out other data to control the data amount effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all detected target position data are retained, then vehicle position estimation accuracy is improved, but storage capacity requirements become substantial
Solution Approach 1:
The patent applies local quality by differentiating between important and less important target position data based on their spatial relationship to turning points. Data within a predetermined distance from turning points are retained with high priority, while other data are thinned out or deleted. This selective retention strategy maintains position estimation accuracy by preserving critical reference points while reducing overall data storage requirements.
2Quantity of substance
If only target position data in a predetermined range from present location are retained, then storage capacity is reduced, but vehicle position estimation accuracy deteriorates when straight-line target data is available
Solution Approach 1:
The patent applies preliminary action by proactively identifying and retaining target position data within predetermined distances from turning points before the position estimation process occurs. This advance preparation ensures that critical reference points are preserved in the data set, enabling accurate position estimation even when using limited stored data rather than all available data.
3Ease of operation
If target position data is retained based on predetermined distance from present location, then data management is simplified, but reference points in traveling direction may be unavailable
Solution Approach 1:
The patent applies parameter changes by using turning points as the basis for determining which target position data to retain, rather than using a fixed predetermined distance from the present location. This parameter change allows the system to adaptively select reference points that are geometrically suitable for position estimation, improving the availability of valid reference points while maintaining manageable data retention criteria.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
In this vehicle position estimation device, positions of a target present in a periphery of a vehicle are detected, amounts of movements of the vehicle are detected, and the positions of the target are stored as target position data, based on the detected amounts of movements. In addition, map information including the positions of the target is pre-stored in a map database (14), and, by matching the target position data and the map information, a vehicle position of the vehicle is estimated. Further, a turning point Pt1 of the vehicle is detected. Furthermore, target position data in a range from a present location Pn to a set distance D1 and in a range going back from the turning point Pt1 by a set distance D2 to a point [Pt1-D2] are retained.