orb_slam_2_ros VS realsense-ros

I have compiled [this repository](https://github.com/appliedAI-Initiative/orb_slam_2_ros) on nvidia jetson nano and it has been successfully built inside my catkin workspace. I have double checked the rosnode list and topics subscribed and published by nodes and they are all good. When I launched the file `roslaunch orb_slam2_ros orb_slam2_d435_rgbd.launch` and try to see the `/orb_slam2_rgbd/pose` topic, the pose looks quite unstable and changing at a faster rate (you can see inside the video attached) while the robot is static. I have attached the tf tree in this issue [frames.pdf](https://github.com/appliedAI-Initiative/orb_slam_2_ros/files/8130863/frames.pdf) and a video link [here](https://drive.google.com/file/d/1nU13ZrD_oXfTAPqC75yUB4uY-FzfR1dC/view?usp=sharing).

Hi everyone, I am working on developing intra process communication using the realsense camera D435i and trying to run this launch file - https://github.com/IntelRealSense/rea... but I am getting this error in the command prompt -

Also I'm guessing you are already using it, but heres the ros repos for realsense cams just in case: https://github.com/IntelRealSense/realsense-ros

Hi guys, i'm building a robot to play around with SLAM and navigation. Currently i'm getting the odometry from the motor's enconder, i'm thinking of adding IMU data to improve the odometry precision over time. I have a Realsense d435i laying around, so i'm planing to use it has an IMU instead of buying a separate module. Is it enough to just run the rs_camera.launch with gyro and accel enabled to improve the odometry and localization?

In my use case I am running ROS2 Humble in my LXD-host machine (Ubuntu 22.04). I want to run ROS2 Foxy (needs Ubuntu 20.04) in a LXD container in order to use realsense-ros package.

Does this then mean that the data from this topic is useless since the raw data was compressed with the wrong compression format or is there some other way to make sense of the data? Relevant issue in the realsense-ros github: https://github.com/IntelRealSense/realsense-ros/issues/2361

The official realsense-ros documentation explains how to install the librealsense SDK and the ros2-realsense ROS2 package by using prebuild packages.

Fourth, checking hardware support for ROS2 shows that fewer options are available and the other robot enthusiasts have problems to get ROS2 running. I had the very same experience when trying to get the Intel Real SenseD435 work with ROS2. Although I used the latest firmware, compiled the librealsense from scratch, compiled the ros-realsense package, it did just not work and even a thread on the very responsive and helpful community issue board did not find an answer. When I switched to ROS1, the same sensor just works without any problems.

On the mobile robot, I also use the Realsense SDK and the Realsense ROS packages - in different version, because they have difference performance. Details will be explained in the next sections.

Try the rtabmap launch file supplied in the IntelRealSense git at https://github.com/IntelRealSense/realsense-ros and see if the result is what you're after. I've had better luck using that package with my Realsense D435i camera than orbslam2.