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This repository is established as part of master thesis work. The 3D mapping is done with 2 2D lidar sensors and imu, one lidar used for 2D localization, the other for mapping, imu for heading estimation
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping for indoor/outdoor localization (Lidar SLAM)
INSTALLING & GETTING STARTED WITH ROS | How to install ROS & How to setup Catkin Workspace on Ubuntu
A differential drive robot is controlled using ROS2 Humble running on a Raspberry Pi 4 (running Ubuntu server 22.04). The vehicle is equipped with a raspberry pi camera for visual feedback and an RPlidar A1 sensor used for Simultaneous Localization and Mapping (SLAM), autonomous navigation and obstacle avoidance.
loam SLAM with back and forth tilted scanning 2D laser, modified to work under ROS indigo and catkin
An open source repository of technical courses, books, and tutorials on robotics
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Slamtec RPLIDAR Lidar SLAM A1 A2 A3 S1 S2 MapperM2 support Mapping navigation for ROS robot
3d scanning method using two rplidar sensor
Ubuntu Server 18.04.4 Raspberry Pi 4 Image + Build Script (unofficial)
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