Vehicle Travel History Storage Sorting for Position Estimation
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Solution Overview
Problem
The accuracy of processes using travel histories, such as self-position estimation and trajectory modeling, deteriorates when multiple types of travel histories with different passing positions and speeds are stored without sorting in a storage device.
Innovation Solution
Implement a method to sort travel histories based on predetermined thresholds in passing positions, speeds, and yaw angles, allowing for the storage and use of distinct travel history types, which enables the generation of accurate traveling trajectory models and improved self-position estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple types of travel histories with different passing positions and speeds are stored without sorting, then the storage device can accommodate diverse vehicle trajectories, but the accuracy of self-position estimation and trajectory modeling deteriorates
Solution Approach 1:
The patent segments travel histories into multiple types based on passing positions, speeds, and yaw angles. Each type is stored separately in the storage device, allowing the system to maintain diverse trajectory data while improving estimation accuracy by selecting the appropriate travel history type that matches current vehicle conditions.
2Adaptability or versatility
If multiple types of travel histories with different passing positions and speeds are stored without sorting, then the storage device can accommodate diverse vehicle trajectories, but the accuracy of trajectory modeling deteriorates
Solution Approach 1:
The patent segments travel histories into multiple types based on passing positions, speeds, and yaw angles. Each type is stored separately in the storage device, allowing the system to maintain diverse trajectory data while improving estimation accuracy by selecting the appropriate travel history type that matches current vehicle conditions.
3Measurement precision
If travel histories are sorted by passing position, speed, and yaw angle, then the accuracy of self-position estimation improves, but the device complexity increases
Solution Approach 1:
The patent uses parameter changes (passing position, speed, yaw angle) as classification criteria to divide travel histories into different types. This approach improves estimation accuracy while managing system complexity by using straightforward parameter-based categorization that can be implemented through comparison operations.
4Manufacturing precision
If travel histories are sorted by passing position, speed, and yaw angle, then the accuracy of trajectory modeling improves, but the device complexity increases
Solution Approach 1:
The patent uses parameter changes (passing position, speed, yaw angle) as classification criteria to divide travel histories into different types. This approach improves estimation accuracy while managing system complexity by using straightforward parameter-based categorization that can be implemented through comparison operations.
Data Source
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AI summary
Provided is a method of storing a travel history using a controller (110) to store the travel history of a vehicle in a storage device (105) for each link of a traveling path. The method includes determining that one or more travel histories in a link are one type or two or more types of travel histories on the basis of a predetermined determination condition and storing the two or more types of travel histories in the link in the storage device so as to be sorted for the determined two or more types.