Polygon Segment Indexing for Point-in-Polygon Computation
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Solution Overview
Problem
Existing solutions for the Point In Polygon (PIP) problem, such as determining a point's location relative to a polygon boundary, are resource-intensive and computationally expensive due to the need for extensive comparisons of the point against numerous polygon segments.
Innovation Solution
A method and electronic device that index segments of a polygon using a tree-structure, allowing only relevant segments to be compared against a ray projecting from the point, reducing processing resources required and improving determination speed by employing geo-markers and masking algorithms to efficiently retrieve and compare data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a brute force validation technique is used to determine whether a point is inside a polygon, then all segments of the polygon can be compared against the point, but the computational expense and processing time increase significantly
Solution Approach 1:
The patent divides the polygon boundary into multiple segments and creates a spatial index structure that organizes these segments by geographic location. This segmentation allows the system to quickly identify and retrieve only those segments that are spatially relevant to the query point, rather than comparing against all segments. The index structure partitions the search space into manageable regions, enabling efficient filtering of candidate segments before performing the actual point-in-polygon test.
2Measurement precision
If all segments of the polygon are compared against the ray, then complete accuracy is achieved, but the number of comparisons and processing resources required become excessively large
Solution Approach 1:
The patent performs preliminary actions by pre-building a spatial index structure that organizes polygon segments according to their geographic locations and creates geo-markers for efficient retrieval. This pre-processing step stores metadata about segment locations and relationships, allowing the system to quickly filter and retrieve only the relevant segments needed for the point-in-polygon test. The preliminary organization of data enables the system to avoid comparing against irrelevant segments, significantly reducing the number of comparisons required while maintaining complete accuracy.
3Measurement precision
If the index structure is made more detailed to improve retrieval accuracy, then more segments can be precisely located, but the memory resources and processing overhead increase
Solution Approach 1:
The patent applies local quality by creating varying levels of indexing detail based on the specific spatial characteristics and density of polygon segments in different regions. Rather than uniformly indexing all segments with the same level of detail, the system adapts the index structure to match the local distribution and importance of segments. This allows the system to maintain high precision where needed while reducing index complexity in regions with fewer or less critical segments, optimizing the balance between accuracy and resource consumption.
Data Source
AI summary
A method and electronic device for generating an index of segments of a polygon is disclosed. The method comprises segmenting a reference zone, which covers at least a portion of a map enclosing all segments of the polygon, into first level zones. Responsive to at least one segment being at least partially located within more than one first level zones, the method comprises indexing the at least one segment in association with the reference zone. The method also comprises, until a terminal condition is met, iteratively: (i) segmenting a given zone into subsequent level zones, where the given zone is a parent zone to the subsequent level zones, and (ii) responsive to at least one other segment being at least partially located within more than one subsequent level zones, indexing the at least one other segment in association with the given zone.


