Electronic Map Overpass Road Data Update Method
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Solution Overview
Problem
Traditional electronic maps lack comprehensive data for overpass roads, requiring manual collection which is time-consuming and costly, and do not accurately represent the upper and lower road data of overpasses.
Innovation Solution
A method and apparatus for updating electronic maps by acquiring and determining extended roads based on path lengths between visible points and nodes of overpass roads, automatically updating the map to include more accurate and complete data for upper and lower overpass roads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If manual collection of overpass road data is performed, then the completeness of electronic map data is improved, but the time consumption and cost increase significantly
Solution Approach 1:
The patent uses satellite images as a copy or representation of the actual road network. By processing satellite imagery, the system extracts road data without physical field surveying, thus obtaining complete overpass road information while avoiding the time-consuming manual collection process.
Solution Approach 2:
The patent replaces the mechanical manual data collection process with an automated computer-based image processing system. The processor automatically analyzes satellite images to extract road data, substituting human field workers with computational algorithms that efficiently capture complete road network information.
2Measurement precision
If manual collection of overpass road data is performed, then the accuracy of electronic map data is improved, but the cost increases significantly
Solution Approach 1:
The patent uses satellite images as a cost-effective copy of the actual road network. These images provide accurate visual representation of overpass roads, enabling extraction of precise road data without the high costs associated with manual surveying teams, equipment, and field operations.
Solution Approach 2:
The patent replaces expensive manual data collection operations with automated computer vision algorithms. The processing system uses computational methods to extract accurate road geometry from satellite images, eliminating costs related to field personnel, vehicles, and manual measurement equipment while maintaining high data accuracy.
3Device complexity
If traditional electronic map data structure is used, then the simplicity of data storage is maintained, but the representation of overpass roads becomes incomplete
Solution Approach 1:
The patent segments the overpass road data into distinct components: upper road data and lower road data. This segmentation allows the complex three-dimensional overpass structure to be represented as separate two-dimensional road networks in the electronic map, maintaining data organization simplicity while capturing complete overpass information.
Solution Approach 2:
The patent transitions from representing overpass roads in three-dimensional space to representing them as separate layers in a two-dimensional electronic map structure. By creating distinct upper and lower road data layers, the system preserves the vertical separation of overpasses while maintaining the flat data structure that electronic maps require, thus balancing completeness with structural simplicity.
Data Source
AI summary
A road updating method for an electronic map is provided. The method includes acquiring a target road in the electronic map, the target road being at least one of an intrinsic upper road of an overpass or an intrinsic lower road of the overpass, acquiring a target node of the target road, the target node being at least one of a first node of the target road or a last node of the target road, acquiring visible points within a preset range of the target node, determining path lengths between the visible points and the target node, determining an extended road of the target node according to the path lengths between the visible points and the target node, and updating the electronic map based on the extended road.