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V2X-Dataset

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https://zenodo.org/record/14534851
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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}}
创建时间:
2024-12-20
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