PanKarfa's Projects
automatic calibration of 3D lidar and IMU extrinsics
A Lidar-Imu extrinsic parameters (R) Calibration tool based on Hand Eye Calibration
3D LIDAR Localization using NDT/GICP and pointcloud map in ROS 2 (Not SLAM)
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
A simple system that can relocalize a robot on a built map is developed in this system. The system is based on LIO-SAM.
This repo is an implementation version of Liorf(LIO-SAM modification) and DiSCO-SLAM in order to run a multi-Robot SLAM with better LIO-SAM performance
OpenCL, SDR, TDD/FDD LTE cell scanner, full stack from A/D samples to SIB ASN1 messages decoded in PDSCH, (optimized for RTL-SDR HACKRF and BladeRF board)
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
A Multi-sensor Fusion Odometry via Smoothing and Mapping.
Arduino library for Quectel cellular modules.
Classical equations and diagrams in machine learning
Platform for building access networks and modular network services
MaRS: A Modular and Robust Sensor-Fusion Framework
Kalman filtering is a powerful technique for estimating the state of nonlinear mechatronics systems from noisy measurements. Kalman filters have a wide range of applications in robotics, vehicle control, and aircraft control.
Dataset for mMobile: Building a mmWave testbed to evaluate and address mobility effects [mmNets'20]
A Modular Optimization framework for Localization and mApping (MOLA)
Source code and dataset related to the paper: https://arxiv.org/pdf/2203.07155.pdf
A simple Multi-Robot SLAM solution that communicates efficiently. The result of my M.Sc. work.
:zap: The Mobile Robot Programming Toolkit (MRPT)
This is a repository for multi robot system simulation using the Husky UGV.
Small footprint Real Time Operating System
Must Reading Papers, Research Library, Open-Source Code on Integrated Sensing and Communications (aka. Joint Radar and Communications, Joint Sensing and Communications, Dual-Functional Radar Communications)
Multi-threaded and SSE friendly NDT algorithm
Position error bounds and sub-array processing for near-field
Ready to test your SLAM system in challenging datasets from extreme environments? Try this out! The dataset is provided by the Team CoSTAR that has been intensively testing multi-robot systems in real world environments such as caves, tunnels, abandoned factories and industrial plants for the DARPA Subterranean Challenge.
A simple routine for intializing 5G positioning and synchronization from only NLOS paths
NPS ROS Example: Multi-Husky Simulation
High performance motor control