GO1 SLAM Setup¶
Hardware Requirements¶
3D Lidar
Inertial measurement unit(imu)
Global positioning device(GPS)(optional)
Software Requirements¶
Software requirements for packages provided by MYBOTSHOP comes with everything configured (also bash scripts provided in case new installations are needed). We therefore recommend to check/install driver/packages required by third party providers.
3d SLAM Configurations¶
By default mbs_slam nodes requires /mbs/points(sensor_msgs/PointCloud2) to be published. All other sensor informations are optional. Indepth information on the configuration parameters can be found in koide3
GPS¶
enable_gps:
True in case gps readings are provided. The mbs_slam
node needs typically supports 3 types of GPS messages:
/mbs/geopoint (geographic_msgs/GeoPointStamped)
/mbs/navsat (sensor_msgs/NavSatFix)
/mbs/nmea_sentence (nmea_msgs/Sentence)
From all of the above mentioned topics only longitude, latitude, and altitude are used and rest of the fields in the messages are ignored.
IMU Acceleration¶
enable_imu_acc
: By default acceleration resulting from sensor motion
is ignored therefore it is useful to provide this paramter (Do not set
bigger values for this constraint.)
IMU Orientation¶
enable_imu_ori
: In case the provided IMU has a reliable magentic
sensor, orientation can be added as a 3d orientation constraint. In case
of external magentic disturbances this paramter should be set to false.
Floor detection¶
For largescale flat indoor environments, this constraints can be specified. It will reduce the effect of accumulated rotation error.
3D-Localization¶
The node first does sensor localization using the onboard imu on the lidar. Odomerty prediction based on external imu is optional, if not set constant velocity model is used internally.
qre_localization
provides 3d, real-time localization.
ROS Topics¶
/odom
(nav_msgs/Odometry)Estimated sensor pose in the map frame
/aligned\_points
Input point cloud aligned with the map
/status
(hdl_localization/ScanMatchingStatus)Scan matching result information (e.g., convergence, matching error, and inlier fraction)