README.md

RoadMarkingExtraction

This repository contains a C++ implementation of the automatic extraction, classification and vectorization of road markings from MLS point cloud. It's based on traditional image & point cloud processing approaches, which can act as the easy baseline for novel learning-based methods.

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About

Version 1.2: passed on Ubuntu 16.04. For former versions, please check the other branches.

Dependent 3rd Party Libs: Eigen3, PCL1.8, OpenCV2, LibLas, DXFLib

Application Scenarios: MLS or ALS point cloud for highway or urban roads

How to use

1. Install dependent libs by sh ./script/download_dependent_lib.sh.

2. Build the repository:

mkdir build
cd build
cmake .. 
make 
cd ..

3. Prepare the model pool (take ./model_pool/xxx as an example) and configure the parameter list (take ./config/xxx.txt as an example).

4. Configure the input (*.las or *.pcd point cloud) and output path in ./script/run_xxx.sh.

5. Run sh ./script/run_xxx.sh.

6. Check the results in your output folder. You may use CloudCompare to visualize the point cloud and use AutoCAD or ShareCAD to visualize the dxf files.

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Citation

If you find this code useful for your work or use it in your project, please consider citing:

@article{pan2019automatic,
  title={Automatic Road Markings Extraction, Classification and Vectorization from Mobile Laser Scanning Data.},
  author={Pan, Yue and Yang, B and Li, S and Yang, H and Dong, Z and Yang, X},
  journal={International Archives of the Photogrammetry, Remote Sensing \& Spatial Information Sciences},
  year={2019}
}

paper link

Workflow

Image Processing

Demo

Acknowledgement:

Thanks hibetterheyj for the effort to migrate the codes on Linux.