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Politecnico di Milano
- Milano
- https://fetty31.github.io/
- in/oriol-martínez-fité-3a4651219
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ROS 2 sensor fusion SDK: UKF, 3D native, proper GNSS, zero manual tuning. Apache 2.0.
KISS-IMU: Self-supervised Inertial Odometry with Motion-balanced Learning and Uncertainty-aware Inference. @ ICRA'26 Award Finalist
[RSS 2026] Learning Point Cloud Geometry as a Statistical Manifold: Theory and Practice
Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation
Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!
Fast and embedded solvers for nonlinear optimal control and nonlinear model predictive control
Single Header Library for using OSQP on MPC Problems (w/ Eigen)
[IEEE RA-L & ICRA 2026] Semantic-Driven Voxel Representation for LiDAR–Inertial Odometry
A C++ library for ground segmentation of a pointcloud
Mosaico - The data platform for Physical AI
Free self-driving car stack - fully open-source ADAS and autonomous driving system
Interactive Map Correction for 3D Graph SLAM
ROS2 adapters for the Cross-Platform Production-ready C++ inference engine for YOLO models (v5-v12, YOLO26). Unified API for detection, segmentation, pose estimation, OBB, and classification. Built…
Templated C++/CUDA implementation of Model Predictive Path Integral Control (MPPI)
A simple toolkit for training semantic segmentation models from autolableled data
Demo ROS2 workspace for using nav2 with semantic segmentation on Gazebo
Nav2 costmap layer for semantic segmentation
RumbX is a MATLAB-based Optimal Control Problem (OCP) solver for racing trajectory optimization using a dynamic bicycle model.
An awesome vehicle dataset for GNSS/INS integration applications
implementation of lidar-inertial odometry based on Iterated Right-Invariant Kalman Filter
Low Latency Instance Segmentation by Continuous Clustering for LiDAR Sensors
This is a repository of the Open Aided Navigation project. The project aims to demonstrate and explain state of the art methods of modern aided inertial and satellite (GNSS) navigation, and multi-s…