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2D-laser-datasets
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2D laser datasets
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# 2D-laser-datasets # remove specific transform/topic 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"' # self-recorded datasets: 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 dataset: 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)}