The map is fully dense. No feature extraction is done on the LIDAR data.
The Revo LDS and similar LIDARs are relatively cheap. The cartographer_turtlebot repo also has a configuration for mapping in 2D and 3D with depth cameras (e.g. Kinect).
There is support for odometry. Take a look at the TurtleBot examples.
You could try following the ROS News blog. Lots of new research comes with a ROS implementation.
I suggest installing ROS. Once you have it installed, you can follow the documentation in the cartographer_ros repo to get some demos running.
That's correct. The operator carried the backup up/down a stairwell.
The map is fully dense. No feature extraction is done on the LIDAR data.
The Revo LDS and similar LIDARs are relatively cheap. The cartographer_turtlebot repo also has a configuration for mapping in 2D and 3D with depth cameras (e.g. Kinect).
There is support for odometry. Take a look at the TurtleBot examples.
You could try following the ROS News blog. Lots of new research comes with a ROS implementation.
I suggest installing ROS. Once you have it installed, you can follow the documentation in the cartographer_ros repo to get some demos running.
That's correct. The operator carried the backup up/down a stairwell.