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Aug, 2024
合作预训练:用于V2X合作感知的CooPre方法
CooPre: Cooperative Pretraining for V2X Cooperative Perception
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Seth Z. Zhao, Hao Xiang, Chenfeng Xu, Xin Xia, Bolei Zhou...
TL;DR
本研究解决了现有V2X合作感知方法对准确的多智能体3D标注数据的依赖问题,提出了一种自监督学习方法CooPre,利用大量未标记的3D V2X数据来提升感知性能。我们的实验表明,该方法在跨领域转移性、数据效率和在挑战性场景下的鲁棒性方面均得到了显著改善。
Abstract
Existing Vehicle-to-Everything (V2X)
Cooperative Perception
methods rely on accurate multi-agent 3D annotations. Nevertheless, it is time-consuming and expensive to collect and annotate real-world data, especially for
V
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