Map Update System Road Marking Blur Detection
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Solution Overview
Problem
Existing map update systems do not effectively reflect the blurring of road markings, which can hinder autonomous driving assistance when road markings become unclear over time.
Innovation Solution
A map update system that acquires the position and blurring degree of road markings by comparing determination values to reference values, using onboard apparatuses and servers to reflect blur information in map data through virtual indicators or index values, ensuring accurate representation of road marking conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If road marking blurring is not monitored, then map data remains simple and easy to maintain, but autonomous driving assistance becomes unreliable when road markings are blurred
Solution Approach 1:
The system performs preliminary detection of road marking blurring by acquiring determination values from multiple images and comparing them to reference values before the blurring critically affects autonomous driving. This advance detection allows the system to proactively update map data with blur information, ensuring reliability is maintained before problems arise.
Solution Approach 2:
The patent introduces blur information as an intermediary parameter that mediates between the physical state of road markings and the digital representation in map data. This intermediary layer (blur information indicating degree of blurring) allows the system to track road marking conditions without requiring complex structural changes to the underlying map data framework.
2Measurement precision
If determination values from multiple images are compared, then accuracy of blurring detection is improved, but processing time and computational load increase
Solution Approach 1:
The system applies partial action by comparing determination values from a subset of multiple images rather than processing all available images. The patent acquires determination values from plurality of images and compares them to reference values, but does not require exhaustive processing of every possible image, thus achieving sufficient accuracy while limiting processing time.
Solution Approach 2:
The system performs preliminary comparison of determination values to reference values to identify potential blurring cases before initiating full map update procedures. This preliminary action filters out cases that do not require updates, reducing the overall processing time while maintaining detection accuracy.
3Loss of information
If blur information is reflected in map data, then road marking conditions are accurately represented, but data storage requirements and processing complexity increase
Solution Approach 1:
The patent applies local quality by adding blur information specifically to road marking data where blurring is detected, rather than uniformly complicating all map data structures. The blur information is localized to affected road markings, allowing accurate representation of road marking conditions without unnecessarily increasing overall data management complexity.
Solution Approach 2:
The system creates a simplified copy or representation of blur information (indicating degree of blurring) that can be integrated into existing map data structures without requiring fundamental restructuring. This copying approach allows complete information representation while managing complexity through use of standardized data formats.
Data Source
AI summary
A map update system includes a map data storage unit storing therein map data. The map update system acquires a position of a road marking painted on a surface of a road. The map update system acquires a determination value to be subjected to determination of blurring of the road marking based on at least either of measurement information on the road marking and analysis information analyzing the measurement information. The map update system compares the determination value to a reference value and acquires blur information indicating a degree of blurring of the road marking. The map update system reflects the blur information in the map data.