English(EN) Panoramic Multimodal Semantic Occupancy Prediction for Quadruped Robots

发布用于全景机器人感知的新数据集和框架

作者 PulseAugur 编辑部 · [1 个来源] · 2026-08-10 04:00

研究人员推出了 PanoMMOcc，这是一个专为四足机器人设计的新数据集和框架，用于全景多模态语义占用预测。提出的 VoxelHound 框架通过集成模块来补偿视点扰动并融合来自多种传感器模态的信息，从而解决了腿式运动和球形成像的挑战。实验表明，VoxelHound 在 PanoMMOcc 数据集上取得了最先进的性能，优于先前的方法。 AI

排序理由学术论文，详细介绍了用于机器人感知的新数据集和框架。[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) · Guoqiang Zhao, Zhe Yang, Sheng Wu, Fei Teng, Mengfei Duan, Yuanfan Zheng, Kai Luo, Kailun Yang · 2026-08-10 04:00

全景多模态语义占用预测用于四足机器人

arXiv:2603.13108v2 Announce Type: replace-cross Abstract: Panoramic imagery provides holistic 360{\deg} visual coverage for environmental perception in quadruped robots. However, existing occupancy prediction methods are primarily designed for wheeled autonomous driving and rely …

本文如何被排名

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全景多模态语义占用预测用于四足机器人

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