python scripts: tf_filter.py(Retain the specified transform)
usage: python tf_filter.py input.bag output.bag
build-in functions(remove transform map):
usage: rosrun bag_tools remove_tf.py -i input.bag -o output.bag -f map
build-in functions(Retain the specified topic):
rosbag filter input.bag output.bag 'topic == "/scan" or topic == "/tf" or topic == "/imu" or topic == "/odom"'
Two-wheel differential chassis:
floor1.bag floor3.bag || lidar:Rplidar A3 [25m 360°] (There are many measurement noises)
gyy_floor3.bag || lidar:Ydlidar G4 [25m 360°] (Maybe... I have forgotten) Odometery is really bad.
Omnidirectional moving chassis:
garage.bag || lidar:SICK LMS151 [50m 270°]
author = {Richard Zander},
malaga.bag || lidar:SICK
author = {Blanco, José-Luis and Fernández-Madrigal, Juan-Antonio and Gonzalez-Jimenez, Javier},
title = {A New Approach for Large-Scale Localization and Mapping: Hybrid Metric-Topological SLAM},
booktitle = {IEEE International Conference on Robotics and Automation (ICRA'07)},
year = {2007},
location = {Roma (Italy)}