Automation Lab, Sungkyunkwan University

GitHub Stats

Traffic Surveillance Dataset

1. Traffic Surveillance Data Generation capable of producing various environment record on road by using Carla.

2. Real-world traffic surveillance systems

I. Using CARLA

Building CARLA, Instruction, and samples

1. Building CARLA

Use git clone or download the project from CARLA Github.

Then follow the instruction at How to build on Linux or How to build on Windows.

The Linux build needs for an UE patch to solve some visualization issues regarding Vulkan. Those already working with a Linux build should insta

2. Instruction the patch and make the UE build again using the following commands.

# Download and install the UE patch  
cd ~/UnrealEngine_4.24
wget https://carla-releases.s3.eu-west-3.amazonaws.com/Linux/UE_Patch/430667-13636743-patch.txt ~/430667-13636743-patch.txt
patch --strip=4 < ~/430667-13636743-patch.txt

# Build UE
./Setup.sh && ./GenerateProjectFiles.sh && make

Please refer to INSTRUCTION.md for how to use.

3. Sample

Please go to this repository for Realistic-Traffic-Surveillance Generated Sample

II. Real-world System

We are conducting a research to develop a real-world traffic surveillance system.

Please go to TSBOW-dataset repository or TSBOW-website for more details.

III. Citation

If you find our work helpful for your research, please consider citing the following BibTeX entry.

@misc{AutoLab-Dataset-CARLA,
  author = {Automation Laboratory},
  license = {Apache-2.0},
  title = {Traffic Surveillance Dataset},
  howpublished = {https://github.com/SKKUAutoLab/ETSS-08-Data},
  year = {2025},
  note = {Data Generation using Carla}
}

IV. License

Both the code and the weights pretrained on the COCO dataset are released under the Apache 2.0 license.