Road Map Updating for Shielded Region Detection From Image-Map Differences
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Solution Overview
Problem
Conventional methods struggle to accurately handle shielding regions in road maps due to roads being obscured by tunnels, overhead crossings, and high-rise buildings, leading to incorrect information reflection in maps used for automatic driving and driving assistance.
Innovation Solution
An information processing device and method that estimates road regions from images and map data, extracts differences between these regions, and updates map information to handle shielding regions effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If road information is extracted from captured images and reflected on the map, then the map can be updated with current road data, but wrong information is reflected in shielded regions where the road is not visible in the image
Solution Approach 1:
The patent introduces a shielded region estimation unit as an intermediary that generates shielded region information based on map data (tunnel locations, building positions, overhead crossing data). This intermediary information acts as a mediator between the image data and map update process, allowing the system to identify and exclude shielded regions before reflecting road information on the map, thereby preventing wrong information from being updated in areas where roads are not visible in captured images
Solution Approach 2:
The system performs preliminary estimation of shielded regions using map-based information (tunnel data, building data, overhead crossing data) before the actual map update process. By预先 identifying regions where roads may be shielded and not visible in captured images, the system can pre-filter out these areas from the update process, ensuring that only visible and verifiable road information is reflected on the map
2Ease of manufacture
If only part of the road information is collected by map generation vehicles or manpower, then the construction process is manageable, but the completeness of the constructed map information is reduced and the range is narrowed
Solution Approach 1:
The patent merges multiple data sources including captured images from general vehicles, map data (tunnel, building, overhead crossing information), and existing road information. By combining these diverse data sources, the system can infer the presence of shielded roads that are not visible in images but are indicated by map features, thereby compensating for the incompleteness caused by limited image coverage and expanding the overall map information completeness
Solution Approach 2:
Map data serves as an intermediary that provides contextual information about shielded regions. The tunnel data, building data, and overhead crossing data act as mediators that indicate where roads may exist but are not visible in captured images. This intermediary information allows the system to infer and include shielded road information, thereby improving map completeness without requiring direct visual confirmation from images for every road segment
Data Source
AI summary
An information processing device and an information processing method capable of appropriately handling a shielding region of a road are provided.The information processing device includes a first information conversion unit 15 that estimates a first road region from an image obtained by imaging the road, a second information conversion unit 17 that estimates a second road region from map information stored in a map information storage unit 11, and a difference extraction unit 16 that extracts difference information representing a difference between the first road region and the second road region. Further, in the information processing method, a computer estimates the first road region from the image obtained by imaging the road, estimates the second road region from the map information, and extracts the difference information indicating the difference between the first road region and the second road region.