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A script toolkit for SLAM research, including but not limited to various plotting functions, ROS bag processing, and more.

SLAMTools

Our sensor suit:

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Viewer

Evaluate with EVO results

first get evo ape and rpe results as test.zip and test_rpe.zip

#dependence
pip3 install zipfile pandas matplotlib numpy
#run
python3 evo_eval_viewer.py

image-20231112140452898

Run_time_analysis

#denpendence
pip3 install matplotlib pandas

#run
python3 time_analysis.py

# 1698490753.03 0.135222 221.497434 0.022776 0.491802 236.377261 0.651435 1194.924191 0.132663 3.51924 0
# timestamp module1_time module2_time module3_time module4_time total_time module1_total_time module2_total_time module13_tota_time module4_total_time 
# since we just use module2_time and module4_time, we can get the following figure.
# ref to paper: PALoc https://ieeexplore.ieee.org/document/10480308

image-20231112140414855

pose_graph_cov_2d

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tum_traj_viewer

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tum_rpy_viewer

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var_analysis

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Evaluation

eval_rpy_viewer.py

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eval_xyz_viewer

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eval_xyz_viewer_colorbar

image-20231027030705921

image-20231028215632469

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