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Recent advancements in Vehicle-to-Everything (V2X) technologies have enabled autonomous vehicles to share sensing information to see through occlusions, greatly boosting the perception capability.
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Liao, Y., Xie, J., Geiger, A.: Kitti-360: A novel dataset and benchmarks for urban scene understanding in 2d and 3d. IEEE Transactions on Pattern Analysis and Machine Intelligence 45
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Xu, R., Xiang, H., Tu, Z., Xia, X., Yang, M.H., Ma, J.: V2x-vit: Vehicle-to-everything cooperative perception with vision transformer. In: European conference on computer vision. pp. 107–124. Springer (2022)
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Xu, R., Xiang, H., Xia, X., Han, X., Li, J., Ma, J.: Opv2v: An open benchmark dataset and fusion pipeline for perception with vehicle-to-vehicle communication. In: 2022 International Conference on Robotics and Automation (ICRA). pp. 2583–2589. IEEE (2022)
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Yu, H., Luo, Y., Shu, M., Huo, Y., Yang, Z., Shi, Y., Guo, Z., Li, H., Hu, X., Yuan, J., et al.: Dair-v2x: A large-scale dataset for vehicle-infrastructure cooperative 3d object detection. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 21361–21370 (2022)
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Xu, R., Xia, X., Li, J., Li, H., Zhang, S., Tu, Z., Meng, Z., Xiang, H., Dong, X., Song, R., et al.: V2v4real: A real-world large-scale dataset for vehicle-to-vehicle cooperative perception. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 13712–13722 (2023)
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Hao, R., Fan, S., Dai, Y., Zhang, Z., Li, C., Wang, Y., Yu, H., Yang, W., Yuan, J., Nie, Z.: Rcooper: A real-world large-scale dataset for roadside cooperative perception. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. pp. 22347–22357 (2024)
2024
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2024
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