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English(EN) Proteus: A Truncation-Robust Entropy Model for Progressive LiDAR Compression

Proteus模型提供鲁棒的LiDAR压缩，具有70%的截断容忍度

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了Proteus，一种专为LiDAR点云设计的新型压缩模型。该模型采用一种独特的策略，将显著位平面（SIG）与不显著位平面（INS）分开，以确保对数据截断的鲁棒性。SIG块提供了基本的感知下限，而INS块则渐进地重建细节，使系统能够容忍高达约70%的比特流截断。在各种压缩场景下，Proteus的性能优于G-PCC、Draco和JPEG XL等现有标准，以及学习型压缩器Unicorn。 AI

排序理由 该集群包含一篇详细介绍新技术方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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Proteus模型提供鲁棒的LiDAR压缩，具有70%的截断容忍度

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该集群包含一篇详细介绍新技术方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Yihan Qiu, Xiaodong Lin, Baoquan Zhao, Hailong Jiao, Ge Li ·

    Proteus：一种用于渐进式LiDAR压缩的截断鲁棒熵模型

    arXiv:2608.00687v1 Announce Type: new Abstract: LiDAR point clouds provide explicit, deterministic physical boundaries critical for collaborative safety-critical perception. However, wireless channels inherently impair and corrupt transmitted signals. Existing robust frameworks (…

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