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English(EN) Foundation4D: Towards a unified perception and reconstruction model for autonomous vehicles

Foundation4D模型统一自动驾驶的感知与重建

研究人员推出了Foundation4D,一个专为自动驾驶汽车设计的新型统一模型,可同时处理来自多摄像头视频的几何估计、物体检测、语义占用预测和高斯重建。该模型利用共享骨干网络和因子化时空注意力,以高效处理跨不同摄像头和时间帧的数据。该项目还发布了PAI-Foundation4D,这是一个包含1,253个驾驶片段的密集深度和语义占用标签的新基准数据集,旨在推动该领域的研发。 AI

影响 这种统一模型可以简化自动驾驶系统的感知和重建流程。

排序理由 该集群描述了一篇关于自动驾驶新模型和数据集的最新研究论文。

在 Hugging Face Daily Papers 阅读 →

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Foundation4D模型统一自动驾驶的感知与重建

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报道来源 [2]

  1. Hugging Face Daily Papers TIER_1 English(EN) ·

    Foundation4D: Towards a unified perception and reconstruction model for autonomous vehicles

    Foundation4D is a unified feed-forward model that jointly estimates geometry, detects objects, predicts semantic occupancy, and reconstructs Gaussians from multi-camera driving video, achieving state-of-the-art results across several benchmarks.

  2. arXiv cs.CV TIER_1 English(EN) · NVIDIA, :, S\'ergio Agostinho, Maximilian Apodaca, Emmanuel Attia, Guillem Braso, George Dong, Ilya Fedorov, Michele Fenzi, Gang Huang, Jiahui Huang, Shengyu Huang, Bingxin Ke, Laura Leal-Taix\'e, Kuan-Ting Lee, Mingxuan Liu, Tian Liu, Tim Meinhardt, Al… ·

    Foundation4D: Towards a unified perception and reconstruction model for autonomous vehicles

    arXiv:2610.30340v1 Announce Type: new Abstract: We introduce Foundation4D, a unified feed-forward model for geometry estimation, 3D detection, semantic occupancy, and Gaussian reconstruction from multi-camera driving video. A shared backbone uses factorized spatiotemporal attenti…