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Antoni Rosinol's Projects

academic-writing-check icon academic-writing-check

check for passive words, weasel words, duplicate words, typographical errors and words strunk & white don't like

airsim icon airsim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

awesome-slam icon awesome-slam

A curated list of awesome SLAM tutorials, projects and communities.

awesome-visual-slam icon awesome-visual-slam

:books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

bonnet icon bonnet

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

catkin_package_maker icon catkin_package_maker

Automatic generator of ROS packages with the minimal skeleton for development of a ROS node (c++). This is an extremely simplified and cleaner version of `catkin_create_pkg`.

ceres_catkin icon ceres_catkin

This repository contains ros-catkin files and a download/make script to checkout and build ceres.

cgal_catkin icon cgal_catkin

Catkin wrapper of the Computational Geometry Algorithms Library (CGAL)

constraint-satisfaction-notebook icon constraint-satisfaction-notebook

Example lecture for Constraint Satisfaction Problems in an interactive jupyter notebook. With python code to solve CSPs, with visualization of Sudoku and NQueens problems.

evo-1 icon evo-1

Python package for the evaluation of odometry and SLAM

evo_clean icon evo_clean

Clean version of evo, without results nor regression_tests

flightgoggles-1 icon flightgoggles-1

A framework for photorealistic hardware-in-the-loop agile flight simulation using Unity3D and ROS. Developed by MIT FAST Lab.

gitignore icon gitignore

A collection of useful .gitignore templates

glm icon glm

OpenGL Mathematics (GLM)

glog icon glog

C++ implementation of the Google logging module

gtsam-1 icon gtsam-1

GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

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