Comments (2)
example map that eats up the computer
trees_long0.01_2.png.zip
from kr_autonomous_flight.
The dimension and resolution of the maps will determine how much memory it uses. But in general it should not be too memory demanding. Assuming you're using a 2km * 2km * 10m map with 0.25m discretization, the memory required will be 320Mb, and you probably won't go higher than that.
The RVIZ will indeed be slower with the increase of number of occupied voxels. But for most cases if you are just visualizing the small local voxel map, and a large coarsely discretized (1m resolution) global map, it should be pretty smooth.
from kr_autonomous_flight.
Related Issues (20)
- Prevent the quad to fly outside the z-boundary of the map when planning in 3D
- Fix A star error in JPS3D/graph_search.cpp HOT 5
- GPS integration in kr_autonomous_flight HOT 1
- Move global and storage maps along with robot HOT 1
- What's wrong with this: "Priority queue is empty!!!!!!" HOT 13
- ERROR message "[Traj Tracker:] Max position error ..." HOT 2
- Reliable integration of LIDAR odometry into autonomy stack HOT 1
- Reliable integration of GPS into autonomy stack HOT 1
- Write mapper as a ROS service
- Make the voxel map's default values for occupied, unknown and free voxels as parameters in VoxelMap.msg HOT 12
- Make local voxel map z-axis center aligned with robot odometry z HOT 11
- Merge/move mavros_interface to kr_mav_control/interface/kr_mavros_interface HOT 2
- [quadrotor/rqt_gui_buttons-22] process has died HOT 4
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- how to replace lidar with realsense depth camera HOT 3
- Imu quality HOT 2
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- Missing header file
- protobuf issue - Errors << ouster_gazebo_plugins:check /home/minasm/catkin_ws/logs/ouster_gazebo_plugins/build.check.010.log HOT 11
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