English(EN) MemReg: Streaming Outdoor LiDAR Point Cloud Registration with Hybrid Memory Buffers

MemReg网络利用时序数据改进LiDAR配准

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-12 04:00

研究人员开发了MemReg，一种利用混合内存缓冲区捕捉时序相关性的流式户外LiDAR点云配准新网络。该方法利用长期时序数据来增强稀疏测量、过滤异常值并解决低重叠问题，从而提高配准精度。MemReg在KITTI、nuScenes和Apollo-Southbay等数据集上展示了最先进的性能，优于现有的成对和多帧SLAM系统，并且在3DMatch等数据集的室内配准场景中也表现出强大的泛化能力。 AI

排序理由论文发表在arXiv上，详细介绍了一种新的LiDAR点云配准方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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Newsworthiness bucket: Tool; 论文发表在arXiv上，详细介绍了一种新的LiDAR点云配准方法。[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) · Jiuming Liu, Mengmeng Liu, Guangming Wang, Lihao Liu, Michael Ying Yang, Yunpeng Zhang, Francesco Nex, Hao Cheng, Hesheng Wang · 2026-10-12 04:00

MemReg：混合内存缓冲区的流式户外LiDAR点云配准

arXiv:2610.12624v1 Announce Type: new Abstract: Prior outdoor LiDAR registration works are commonly limited by the pair-wise input paradigm, which neglects temporal correlations inherent within streaming sequences. In this paper, we propose a novel multi-frame outdoor point cloud…

本文如何被排名

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MemReg：混合内存缓冲区的流式户外LiDAR点云配准

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