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Bag process and evalutaion tools for SLAM research

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SLAMTools

Our sensor suit:

image-20231028215323058

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

image-20231111105428392

tum_traj_viewer

image-20231030195632044

tum_rpy_viewer

image-20231030195727953

var_analysis

image-20231030200126073

Evaluation

eval_rpy_viewer.py

image-20231026172239328

eval_xyz_viewer

image-20231026172350083

eval_xyz_viewer_colorbar

image-20231027030705921

image-20231028215632469

image-20231028215753179

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