Synthetic Collective Perception Message Dataset Derived from BurST-ADMA
Description
This is a repo for both spatio-temporal GNN and Tabular Synthetic Collective Perception Message datasets generated from BurST-ADMA to be used in EvolveGCNOi-CPM model defined in 'State of the Art and First Synthetic Dataset for Misbehavior Detection with Collective Perception in [C-]V2X Networks' paper. Please kindly cite the paper as; @inproceedings{yuce2025state, title={State of the Art and First Synthetic Dataset for Misbehavior Detection with Collective Perception in [C-]V2X Networks}, author={Yuce, Mehmet Fatih and Erturk, Mehmet Ali and Aydin, Muhammed Ali}, booktitle={2025 IEEE 36th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)}, year={2025}, organization={IEEE} }
Files
Steps to reproduce
As described in the links; * Adding clustering information to BURST-Adma dataset's each timestep. * Generating Graph Neural Networks (GNNs) dataset * Hyperparameters search * Model tries
Institutions
- Istanbul UniversitesiIstanbul, Fatih