3D Road Model Generation from 2D Network and Panoramic Images
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Solution Overview
Problem
Traditional two-dimensional electronic maps struggle to accurately represent complex road sections like overpasses and tunnels, and existing methods for creating three-dimensional road models are either inefficient or costly due to the need for expensive scanning equipment.
Innovation Solution
A method and device that parse two-dimensional road network data and panoramic image data to establish a rudimentary road model, combining it with three-dimensional attribute data to create a three-dimensional road model efficiently and economically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If artificial modeling approach is used to establish three-dimensional road models, then modeling accuracy can be improved, but modeling efficiency deteriorates due to manual plotting requirements
Solution Approach 1:
The patent uses two-dimensional road network data as a template or copy to automatically generate the three-dimensional road model structure. Instead of manually plotting each element, the system copies the topological relationships and geometric information from existing 2D map data, significantly improving efficiency while maintaining accuracy through automated processing algorithms.
Solution Approach 2:
The patent replaces the mechanical manual plotting process with an automated computer-based system that parses 2D road network data and automatically constructs 3D models. This substitution of manual mechanical operations with automated computational processes resolves the contradiction between accuracy and efficiency.
2Productivity
If automatic modeling approach with professional sampling devices is used, then modeling efficiency is improved, but equipment cost increases significantly
Solution Approach 1:
The patent makes existing 2D road network data serve multiple purposes - it is not only used for basic map display but also as the foundation for automatically generating three-dimensional road models. This multi-functional use of existing data eliminates the need for specialized expensive sampling equipment while maintaining high modeling efficiency.
Solution Approach 2:
The patent uses readily available, low-cost 2D road network data that can be easily obtained and processed, replacing the need for expensive professional sampling devices. The existing digital map data serves as a disposable resource that can be parsed and transformed without requiring costly physical scanning equipment.
3Device complexity
If two-dimensional map format is used, then data simplicity is maintained, but representation accuracy of complex road sections deteriorates
Solution Approach 1:
The patent transitions from two-dimensional map representation to three-dimensional road models by adding the vertical dimension. This dimensional transformation enables accurate representation of complex road sections such as overpasses, tunnels, and multi-level intersections that cannot be properly depicted in 2D, while the underlying data structure maintains simplicity through automated parsing of existing 2D road network data.
Data Source
AI summary
The present disclosure provides a method and device for modelling a three-dimensional road model, and a storage medium. The method comprises: parsing two-dimensional road network data to establish a rudimentary road model; parsing panoramic image data to obtain three-dimensional attribute data of a traffic element; and combining the rudimentary model and the three-dimensional attribute data to obtain a three-dimensional road model. The method, device and storage medium can economically and efficiently acquire a three-dimensional road model based on a relatively easily obtained data source.