Nikos Stathoulopoulos nstathou
-
Luleå University of Technology
- Luleå, Sweden
-
12:31
(UTC +02:00) - https://nstathou.github.io/
- https://orcid.org/0000-0002-0108-6286
- in/nikos-stathoulopoulos
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Visualization library for rapid prototyping of 3D algorithms [C++, Python]
A collection of world environments from collected and modeled information within the PERSEPHONE project.
LTU-RAI / SubTGraph
Forked from fernand0labra/rai-spear-subtgraphView Planner For Mobile Robots
A transparent LiDAR-inertial odometry for Livox. written to be read :D
The interactive graphing library for Python ✨
Snowy Scenes: A Multimodal Multitask Dataset Toward Snow-tonomous Vehicle
📄 Awesome CV is LaTeX template for your outstanding job application
✨ Showlit - A modern and clean template for creating a personal website
[RSS'23] The official Implementation of "ERASOR2: Instance-Aware Robust 3D Mapping of the Static World in Dynamic Scenes"
SOTA communication-efficient, fast, and robust map merging using 3D point cloud (accepted in IJRR)
[RSS 2026] Learning Point Cloud Geometry as a Statistical Manifold: Theory and Practice
GLIM: versatile and extensible point cloud-based 3D localization and mapping framework
A highly efficient, CUDA-accelerated framework for Fast, Accurate, and Robust LiDAR-Inertial Odometry.
Official implementation of PROBE: Probabilistic Occupancy BEV Encoding — a learning-free, translation-robust descriptor for 3D LiDAR place recognition (IEEE RA-L 2026).
Real-time geometric map distillation, a fast and flexible LiDAR mapping package.
LTU-RAI / FLIP-First-Look-Inspection-Planner
Forked from Astrabrat/FLIP-First-Look-Inspection-PlannerView Planner For Mobile Robots
A GUI tool to visualize and analyze message timing from ROS 2 bags (`.mcap` or `.db3`)
HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation
40 years of robotics papers (ICRA · IROS · RA-L · T-RO · RSS · IJRR · Sci-Rob · SoRo · T-Mech, 80k+ entries) — interactive explorer, citations, and downloadable dataset
LTU-RAI / l4s_lidar
Forked from achilleas2942/l4s_lidarA computationally efficient and robust LiDAR-inertial odometry (LIO) package
FAST-LIO2 on ROS2 with various functionalities for LIO mapping
A collection of GICP-based fast point cloud registration algorithms
Drivers for receiving LiDAR data and controlling lidar, support Lidar HAP and Mid-360.
Livox device driver under Ros(Compatible with ros and ros2), support Lidar HAP and Mid-360.