Skip to content

In this project, use the AWS DeepRacer car to draw a map with SLAM (Simultaneous Localization and Mapping), a technique for creating a map of an environment by estimating a device’s current location as it moves through a space.

License

Notifications You must be signed in to change notification settings

aws-deepracer/aws-deepracer-mapping-sample-project

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

14 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Mapping with ROS Noetic on Ubuntu 20.04

Overview

The AWS DeepRacer Mapping sample project provides instructions for using the AWS DeepRacer and Intel RealSense™ D435, along with other open-source tools, to build a map of your surroundings using SLAM (Simultaneous Localization and Mapping).

License

The source code is released under Apache 2.0.

Setup

Follow these instructions to set up the AWS DeepRacer Mapping sample project.

Prerequisites

The AWS DeepRacer device comes with all the prerequisite packages and libraries installed for running the AWS DeepRacer core application. For more information about the preinstalled set of packages and libraries on the AWS DeepRacer, and about installing the required build systems, see Getting started with AWS DeepRacer OpenSource. The Mapping sample project requires the AWS DeepRacer application to be installed on the device, as it leverages the manual drive feature to control the car manually.

Connect and mount the Intel RealSense D435 or Intel RealSense D435i to the AWS DeepRacer device. The Intel RealSense cameras provide a depth sensor and other required capabilities to collect information from your surroundings.

ROS Noetic on the AWS DeepRacer device

Open a terminal and install ROS Noetic as a root user by following the steps on the Ubuntu install of ROS Noetic page.

Download and install other components

Open a terminal and run the following commands as the root user on the AWS DeepRacer device:

  • Set up the ROS Noetic environment: After installing ROS Noetic on your AWS DeepRacer, source the setup script for ROS Noetic:

          source /opt/ros/noetic/setup.bash
    
  • Install the software packages required to create the map:

    • realsense2_camera:

        export ROS_VER=noetic
        sudo apt-get install ros-$ROS_VER-realsense2-camera
        sudo apt-get install ros-$ROS_VER-realsense2-description
      
    • imu_filter_madgwick:

        sudo apt-get install ros-$ROS_VER-imu-filter-madgwick
      
    • rtabmap_ros:

        sudo apt-get install ros-$ROS_VER-rtabmap-ros
      
    • robot_localization:

        sudo apt-get install ros-$ROS_VER-robot-localization
      

Usage

Follow these steps to use the AWS DeepRacer Mapping sample project.

  • Open a terminal and run the following commands as the root user on the AWS DeepRacer device:

      source /opt/ros/noetic/setup.bash
    
  • Initiate the open-source tracking launch script provided by Intel RealSense:

      roslaunch realsense2_camera opensource_tracking.launch
    
  • Open another terminal and launch rviz by running the following command as the root user:

      source /opt/ros/noetic/setup.bash
      rosrun rviz rviz
    
  • Personalize, collect, and visualize the point cloud data by following these steps.

  • Move the AWS DeepRacer car slowly around the room in manual mode using the device console.

Sample demo:

The following example shows using rviz when mapping the room by navigating the AWS DeepRacer car:

mapping

Resources

About

In this project, use the AWS DeepRacer car to draw a map with SLAM (Simultaneous Localization and Mapping), a technique for creating a map of an environment by estimating a device’s current location as it moves through a space.

Resources

License

Code of conduct

Security policy

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 4

  •  
  •  
  •  
  •