Evaluating the new SD-SLAM
Compare with TUM RGBD dataset Rosify Difodo and SD-SLAM
In order to evaluate SD-SLAM some modifications has to be done
In order to evaluate the results from the odometry Ill create a separate node that has that logic
In order to evaluate the results from the odometry I have to use the /tf topic
Evaluate the results from the odometry of rosify_difodo
Testing different scenarios for a well known dataset
Logging with ros logs, creating a ros configuration file (.launch), publishing velocity and covariance
I learn the concept of C++ development in ROS, catkin ROS build system and CMAKE
In this entry I start to explore one of the main components of DDS, DIFODO
Reading papers about range flow, revisiting papers and summarising everything up to this point
Solving problems
Solving problems
Figuring out how to solve problems with realsense d435
Start working with realsense camera and research
Reading papers, collecting information and SD-SLAM installation