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. PublicationFor 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}}