EKF Monocular SLAM written in C++20
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Updated
May 16, 2024 - C++
EKF Monocular SLAM written in C++20
Lidar Obstacle Detection using RANSAC and Euclidean Clustering
curve line fitting using ransac or ceres
⭐ 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.
Pipelines to perform 3D large scale point cloud matching (registration) based on Point Cloud Library
Sensor Fusion Nanodegree | Lidar Obstacle Detection in Autonomous Vehicles
Project based on Random sample consensus RANSAC
Лабораторные работы по курсу компьютерного зрения
Sensor Fusion Lidar Obstacle Detection
Implementation of the Locally Optimized Random SAmple Consensus (LO-RANSAC) 3D plane fitting algorithm
A header-only, multi-threaded implementation of the RANSAC algorithm
Choosing inliers with RANSAC algorithm
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/
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