V2X-Dataset

V2X-Object Detection Dataset

Welcome to the V2X-Object Detection Dataset repository, a fundamental resource designed to support research in real-time object detection for autonomous driving environments. This dataset is a crucial tool for validating and benchmarking innovative research concepts in the field of autonomous driving, leveraging vehicle-to-everything (V2X) communication. It can be used for various purposes in the domain of computer vision to computer networking.

Publication
For a comprehensive understanding of the dataset and its applications, we recommend referring to our research paper "Leveraging the Edge and Cloud for V2X-Based Real-Time Object Detection in Autonomous Driving":
- [Read the Full Paper (PDF)]

Citation:
If you use this dataset in your research, please use the following citation:

@article{hawlader2024leveraging,
  title={Leveraging the edge and cloud for V2X-based real-time object detection in autonomous driving},
  author={Hawlader, Faisal and Robinet, Fran{\c{c}}ois and Frank, Rapha{\"e}l},
  journal={Computer Communications},
  volume={213},
  pages={372--381},
  year={2024},
  publisher={Elsevier}
}

@INPROCEEDINGS{10061953,
  author={Hawlader, Faisal and Robinet, François and Frank, Raphaël},
  booktitle={2023 18th Wireless On-Demand Network Systems and Services Conference (WONS)}, 
  title={Vehicle-to-Infrastructure Communication for Real-Time Object Detection in Autonomous Driving}, 
  year={2023},
  pages={40-46},
  doi={10.23919/WONS57325.2023.10061953}}