Multi-Stage 3D Terrain Filtering for Digital Ground Models
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Solution Overview
Problem
Existing digital ground modeling systems often over-filter or under-filter terrain data, failing to accurately remove unwanted objects, especially in environments with varying terrain types, leading to inaccurate digital ground models.
Innovation Solution
The system applies multiple filters with region-specific parameters to identify and filter out extraneous objects from three-dimensional representations by initially applying a general filter and then using more aggressive parameters based on terrain type, ensuring accurate removal of non-ground points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single filter with fixed parameters is applied to the entire three-dimensional representation, then the filtering process is simple and fast, but the accuracy of removing unwanted objects deteriorates in varying terrain types
Solution Approach 1:
The patent divides the three-dimensional representation into multiple regions based on terrain characteristics (flat, sloped, mountainous). Each region is then processed with filter parameters optimized for its specific terrain type, rather than applying a single uniform filter to the entire dataset. This segmentation enables accurate filtering across diverse terrain while maintaining computational efficiency through region-based processing.
Solution Approach 2:
The patent implements local quality by applying different filter parameters to different regions of the three-dimensional representation. Each terrain type (flat, sloped, mountainous) receives customized filter settings that match its characteristics, ensuring high filtering accuracy locally while the overall system maintains good productivity through efficient regional processing.
2Measurement precision
If aggressive filter parameters are used to remove all unwanted objects, then filtering accuracy improves, but the risk of over-filtering wanted objects increases
Solution Approach 1:
The patent applies local quality by using aggressive filter parameters only in regions where they are appropriate (flat and sloped terrain), while using more conservative parameters in mountainous regions where aggressive filtering would cause over-filtering. This spatially varying approach maintains high filtering accuracy in suitable regions while preserving wanted objects in regions where they are needed.
Solution Approach 2:
The patent changes filter parameters based on terrain type and filtering stage. Initial filtering uses less aggressive parameters to preserve wanted objects, while subsequent filtering stages use more aggressive parameters to remove remaining unwanted objects. This dynamic parameter adjustment resolves the contradiction between filtering accuracy and preventing over-filtering.
3Measurement precision
If multiple filtering stages with region-specific parameters are applied, then filtering accuracy improves across varying terrain, but the system complexity increases
Solution Approach 1:
The patent uses segmentation to divide the terrain into distinct regions, which simplifies the complexity management by organizing the filtering process into manageable stages. Each stage handles specific terrain types with appropriate parameters, making the complex multi-stage system more tractable and easier to implement than a fully customized approach.
Solution Approach 2:
The patent implements a multi-functional filtering system that can handle multiple terrain types (flat, sloped, mountainous) and multiple filtering objectives (initial filtering, subsequent filtering) using a unified framework. This universal approach manages system complexity by reusing the same basic filtering infrastructure across different regions and stages, rather than requiring completely separate systems for each terrain type.
Data Source
AI summary
Disclosed systems and methods generate filtered, three-dimensional models with regard to a site. In particular, one or more embodiments include systems and methods that generate a filtered, three-dimensional model by removing one or more non-ground objects from a three-dimensional model of the site. Specifically, one or more embodiments of the disclosed systems and methods remove objects from a three-dimensional representation of a site by applying an initial filter to the three-dimensional representation, identifying regions corresponding to types of terrain within the three-dimensional representation, and applying another filter with parameters particular to the identified regions.