Are there any demo of D534i+SLAM with ROS2? about realsense-ros HOT 8 CLOSED

Hi @PANQingrui SLAM on ROS2 can be difficult to implement. RealSense ROS2 users who have attempted it have typically used a combination of slam_toolbox and depthimage_to_laserscan.

The link for slam_toolbox is below. You can select a branch of the tool for a specific ROS2 version. As you are using 22.04, Humble or Iron would likely be the best choice.

https://github.com/SteveMacenski/slam_toolbox

The ROS2 branch of depthimage_to_laserscan is here:

https://github.com/ros-perception/depthimage_to_laserscan/tree/ros2

Alternatively, you could consider using ORB-SLAM with ROS2 and running it in Stereo mode with your D435i stereo depth camera. It has a branch for Humble.

https://github.com/zang09/ORB_SLAM3_ROS2/tree/humble

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I'm running into this same issue. For traceability, I was able to get your D435i example (from 2019) running in a Docker container. Needs a little clean-up, but here's the container code:

# SLAM with ROS

FROM ros:kinetic-ros-core

# install ROS
# https://docs.ros.org/en/kinetic/Installation/Ubuntu-Install-Debians.html

RUN apt-get update && apt-get install -y \
    software-properties-common \
    curl \
    && add-apt-repository universe


# Add the ROS 2 apt repository to your system
RUN curl -sSL https://raw.githubusercontent.com/ros/rosdistro/master/ros.key -o /usr/share/keyrings/ros-archive-keyring.gpg && \
    echo "deb [arch=$(dpkg --print-architecture) signed-by=/usr/share/keyrings/ros-archive-keyring.gpg] http://packages.ros.org/ros2/ubuntu $(lsb_release -sc) main" | tee /etc/apt/sources.list.d/ros2-latest.list > /dev/null && \
    apt-get update -y && apt-get upgrade -y && apt-get install -y \
    ros-kinetic-ros-base \
    ros-kinetic-rtabmap-ros \
    ros-kinetic-robot-localization \
    ros-kinetic-imu-filter-madgwick \
    ros-kinetic-realsense2-*

# Install rviz
RUN apt-get install -y ros-kinetic-rviz

# install x11 so it can interact with the host
RUN apt-get install -y x11-apps

# install git
RUN apt-get install -y git

# Download the https://github.com/IntelRealSense/realsense-ros
RUN curl -L0 https://github.com/IntelRealSense/librealsense/archive/refs/tags/v2.18.1.zip -o v2.18.1.zip

# unzip the file
RUN apt install -y unzip
RUN unzip v2.18.1.zip

# install python
RUN apt-get install -y python3-pip nano

RUN rosdep init

And the accompanying compose file:

services:
  ros_slam:
    build: 
      context: .
      dockerfile: Dockerfile
    network_mode: "host"
    privileged: true
    environment:
      - DISPLAY=$DISPLAY
    volumes:
      - /tmp/.X11-unix:/tmp/.X11-unix
    command : roslaunch realsense2_camera opensource_tracking.launch

When I switched a few things to use Humble, I ran into a lot of missing topics (they would show in ros2 topic list, but a ros2 topic hz would indicate that they weren't actually publishing).

Having a pre-baked solution would be great to have for long-term support of this product. Is it a hardware or driver limitation for getting it to ROS2? I know TF was clearly missing when I was fiddling around in rviz2.

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Thanks so much @Forsyth-Creations for sharing your Docker tracking solution!

There is an official ROS2 RealSense SLAM guide that uses depthimage_to_laserscan at the link below, though it is old now and was designed for the obsolete ros2-legacy wrapper rather than the current ros2-development ROS2 wrapper.

https://intel.github.io/robot_devkit_doc/pages/rs_slam.html

https://github.com/IntelRealSense/realsense-ros/tree/ros2-legacy

The guide uses both a 400 Series camera and the RealSense T265 Tracking Camera, so if you do not have a T265 then you would also have to skip the T265 parts of the instructions and use the rs_launch.py launch file instead of the guide's suggested rs_t265_and_d400.launch.py

Another possible option is the ROS2 wrapper for the Kimera 'semantic SLAM' tool.

https://github.com/MIT-SPARK/Kimera-VIO-ROS2

https://www.youtube.com/watch?v=Zjevg5wQTdI

For a more modern ROS2 SLAM solution that is compatible with RealSense and is an out of the box solution, you could look at SLAMcore.

https://www.imveurope.com/press-releases/slamcore-teams-realsense-provide-out-box-slam-algorithms

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Hi @PANQingrui and @Forsyth-Creations Do either of you require further assistance with this case, please? Thanks!

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Hi @PANQingrui and @Forsyth-Creations Do either of you require further assistance with this case, please? Thanks!

Hi Marty, thank you for your suggestions. I haven't tried your suggestions yet, but I just checked this issue "#2992", and it seems to be similar to my needs.

I will try ORB-SLAM first, and thank you for your help again! I will update here if further assistance is needed.

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You are very welcome, @PANQingrui - good luck!

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Hi @PANQingrui Do you require further assistance with this case, please? Thanks!

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Case closed due to no further comments received.

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