English(EN) CrowdOcc: Monocular Semantic Scene Completion for Quadruped Robots in Crowded Indoor Environments

新的CrowdOcc框架增强了机器人在拥挤室内空间的场景补全能力

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-05 04:00

研究人员推出CrowdOcc，这是一个新的框架和数据集，旨在改善在拥挤室内环境中运行的四足机器人的单目语义场景补全能力。该系统通过集成法线引导场景几何融合（NGSGF）和以人为中心的稀疏交互（HCSI）来解决人类场景遮挡和不完整占用预测带来的挑战。该方法利用表面法线线索进行鲁棒的几何估计，并选择性地对3D中的人景关系进行建模，在其自身测试集上取得了最先进的性能。 AI

影响增强了机器人在复杂、有人居住的室内环境中的导航和场景理解能力。

排序理由该集群包含一篇详细介绍特定计算机视觉任务新框架和数据集的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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Newsworthiness bucket: Tool; 该集群包含一篇详细介绍特定计算机视觉任务新框架和数据集的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

arXiv cs.CV TIER_1 English(EN) · Feiyang Chen, Jincheng Hu, Yiduo Chen, Jihao Li, Yue Liang, Bingzhao Gao, Yanjun Huang, Yuanjian Zhang · 2026-10-05 04:00

CrowdOcc：拥挤室内环境中四足机器人的单目语义场景补全

arXiv:2610.03031v1 Announce Type: new Abstract: Monocular semantic scene completion (SSC) for quadruped robots remains underexplored in real crowded indoor environments, where human-scene occlusion disrupts static geometry and human occupancy predictions are often incomplete or s…

本文如何被排名

报道来源 [1]

CrowdOcc：拥挤室内环境中四足机器人的单目语义场景补全

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