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⭐ RANSAC is an algorithm used for fiting models with posible large amount of noise that can get wors performance due to this outlier points. In this project, its build a model to fit noisy linear data.
To build a 3D map from the point cloud data of parking garage collected using RGB-D camera and translating it into a robust and reliable 2D vector map for autonomous vehicle parking.
This repository contains the software of my HTL graduation project - a C++ engine used for LiDAR visualisation, RANSAC and SLAM in a robotics application.
This is an open source library that can be used to autofocus telescopes. It uses a novel algorithm based on robust statistics. For a preprint, see https://arxiv.org/abs/2201.12466 .The library is currently used in Astro Photography tool (APT) https://www.astrophotography.app/