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Updated: Jun 21, 2026

Sample Drift Correction Following 4D Confocal Time-lapse Imaging
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Anchor3DLane++:通过样本适应性稀疏3D回归进行3D车道检测

Shaofei Huang, Zhenwei Shen, Zehao Huang

    IEEE transactions on pattern analysis and machine intelligence
    |March 3, 2025
    PubMed
    概括

    这项研究介绍了Anchor3DLane++,这是一种用于单眼3D车道检测的新方法,可以避免鸟眼视图 (BEV) 转换. 它通过直接从前视 (FV) 功能中使用结构3D车道来实现最先进的性能.

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