Map Generation System Reliability Evaluation for Linearization
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Solution Overview
Problem
Existing methods for generating high-precision map information, such as those used in autonomous vehicles, face challenges in automatically detecting errors in linearization information, requiring manual correction that is time-consuming and inefficient.
Innovation Solution
A map generation system that includes a graphics unit for generating linearization information, an evaluation unit to calculate reliability values for partial information, and a display unit to show partial information in different modes based on these values, facilitating the identification and correction of errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If linearization information is generated by comparing and synthesizing a plurality of images, then map information can be obtained, but image comparison and synthesis process become complicated making it difficult to automatically detect error portions
Solution Approach 1:
The patent divides the linearization information into multiple partial information segments and evaluates each segment independently. This segmentation allows the system to identify specific error portions without having to analyze the entire complex synthesis process, thereby reducing the effective complexity of error detection while maintaining map information accuracy.
2Reliability
If manual correction process is used to find error portions in linearization information, then errors can be corrected, but a lot of time and work is required
Solution Approach 1:
The patent implements an evaluation unit that provides feedback by calculating reliability degrees for each partial information segment and displaying them in different modes. This feedback mechanism guides manual correction by highlighting error portions, significantly reducing the time and effort required for manual correction while ensuring high reliability of the final linearization information.
3Ease of operation
If no error detection mechanism is implemented, then the process remains simple, but error portions in linearization information cannot be identified
Solution Approach 1:
The patent applies different display modes to different partial information segments based on their individual reliability degrees. This local quality approach allows the system to maintain overall process simplicity while providing targeted error detection capabilities where needed, without requiring complex error detection for the entire linearization information set.
Data Source
AI summary
A map generation device (10) generates linearization information expressing at least one or the other of a marking line of a roadway and a road shoulder edge based on measurement information of a periphery of the roadway. The measurement information is obtained by a measurement device. The map generation device (10) calculates an evaluation value expressing a reliability degree of partial information, for each partial information constituting the linearization information. A map editing device (20) displays the partial information in different modes according to the evaluation value, thereby displaying the linearization information. The map editing device (20) accepts input of editing information for the displayed linearization information.