This is the implementation of our UAV-Testing-Competition tool called PALM (PAth bLoking Monte carlo tree search). Generally, it adopts the Monte Carlo Tree Search (MCTS) algorithm to place obstacles on the trajectories of Unmanned Aerial Vehicles (UAVs) to challenge its flight.
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Following this guide to install Aerialist project
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Install Aerialist's python package:
pip3 install git+https://github.com/skhatiri/Aerialist.git
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cd Aerialist/samplesand clone this project -
Create some necessary directories:
cd UAV-Testing-Competition/snippetssudo mkdir -p logs generated_tests results/logs
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Run the experiment:
python3 cli.py generate case_studies/mission1.yaml 100
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Shuncheng Tang
- Email: scttt@mail.ustc.edu.cn
- Affiliation: University of Science and Technology of China, China
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Zhenya Zhang
- Email: zhang@ait.kyushu-u.ac.jp
- Affiliation: Kyushu University, Japan
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Ahmet Cetinkaya
- Email: ahmet@shibaura-it.ac.jp
- Affiliation: Shibaura Institute of Technology, Japan
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Paolo Arcaini
- Email: arcaini@nii.ac.jp
- Affiliation: National Institute of Informatics, Japan