-
@lirmm (PhD), RSM team
- Montpellier, France
-
05:29
(UTC +01:00) - in/puglisialessandro
- https://alepuglisi.github.io/
- https://sketchfab.com/AlessandroPuglisi
- https://scholar.google.com/citations?user=KhmsqsAAAAAJ&hl=en&oi=sra
🧠SLAM
Factored inference for discrete-continuous smoothing and mapping.
A Comprehensive Framework for Visual SLAM Systems and Datasets
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
This repository contains everything needed to run ORB-SLAM3 on a docker container with ROS2 Humble with Ubuntu 22.04.
ROS 2 LiDAR SLAM for pointcloud-map authoring, benchmarking, and Autoware-compatible map workflows.
📌 PINGS: Gaussian Splatting Meets Distance Fields within a Point-Based Implicit Neural Map [RSS 25]
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 m…
A beginner-friendly SLAM mini-course with Jupyter notebooks — covering Bayes Filters, Kalman Filters, Particle Filters, and Graph-based SLAM with hands-on Python examples.
robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.
A ROS wrapper for ORB-SLAM3. Focus on portability and flexibility.
ACE-SLAM: Scene Coordinate Regression for Real-Time SLAM
A ROS2 Humble package that natively implementing ORB-SLAM3 V1.0 VSLAM framework
[CVPR 2024 & TPAMI 2025] SNI-SLAM: Semantic Neural Implicit SLAM
Fixed version of ORB-SLAM3 stereo mode
CUDA-accelerated visual odometry and SLAM library for fast, accurate, low-latency camera tracking
A collection of GTSAM factors and optimizers for point cloud SLAM