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[2023 TMech] Robust Large-Scale Collaborative Localization Based on Semantic Submaps With Extreme Outliers

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BIT-TYJ/EO--RCL

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EO-RCL : Robust Collaborative Localization in Extreme Outliers

Overview

This is a c++ implementation based on strasdat/Sophus. The solvers' cpp files are in the test/ceres/ directory.

Dependency

  • Eigen 3.3.4
  • Google ceres 2.0.0

Quickstart

Assume the current directory is the root of this repository.

Compile

$ chmod +x ./scripts/run_cpp_tests.sh
$ ./scripts/run_cpp_tests.sh

Run

$ chmod +x ./scripts/run_robust_pcl_reconstruction_example_cauchy_two_EM.sh
$ ./scripts/run_robust_pcl_reconstruction_example_cauchy_two_EM.sh

Common problems

  1. ccache may not be installed by default. Simply install it.
$ sudo apt-get install ccache

Acknowledgement

The implementation of EO--RCL relies on resources from RobustPCLReconstruction. Thank the original authors for their open-sourcing!

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[2023 TMech] Robust Large-Scale Collaborative Localization Based on Semantic Submaps With Extreme Outliers

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