Code to post-process topology optimized 2D results to a usable smooth geometry. TO solver used is 88-line code by DTU, Denmark
Kalman filter for GPS data using Pykalman
polyline simplification. Port of simplify.js
Python implementation of the Ramer-Douglas-Peucker algorithm
scanning a4 paper by image processing algorithms
Kotlin Multiplatform implementation for Google Polyline encoding algorithm to convert Polyline to/from String. And sampling polyline using Ramer–Douglas–Peucker algorithm.
GeoRDPy is a Python library that simplifies geodetic-coordinate polylines using the Ramer-Douglas-Peucker algorithm. It reduces the number of points while preserving accuracy, making it ideal for optimizing geospatial data representations. Specify a threshold for error tolerance and choose a sphere radius for tailored simplification.
Rust implementation of Ramer–Douglas–Peucker (RDP) algorithm for cartographic generalization
Interactive map application for navigating Denmark under changing sea levels. Built in Java with JavaFX, featuring a custom R-Tree spatial index, A* pathfinding with dynamic rerouting, Ramer-Douglas-Peucker polyline simplification, and height-curve-based sea level simulation. ITU First Year Project 2026.
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