English(EN) HiPFuse: Real-Time LiDAR Semantic Segmentation for Robotic Perception on Edge Devices

HiPFuse 框架增强了边缘设备的实时激光雷达语义分割

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-11 05:00

研究人员开发了 HiPFuse，一个专为边缘设备设计的实时激光雷达语义分割新框架。该系统有效地融合了点云和鸟瞰图（BEV）特征，通过结合详细的点状信息和更广泛的二维空间上下文来提高准确性。HiPFuse 在 SemanticKITTI 和 MCD 等基准测试中取得了高性能，在 NVIDIA Jetson AGX Orin 等硬件上运行速度超过了典型的激光雷达扫描速率。当集成到现有系统中时，该框架还展示了机器人里程计和回环检测召回率的改进。 AI

影响提高了资源受限的边缘设备的感知系统的效率和准确性。

排序理由详细介绍新技术框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.CV TIER_1 English(EN) · Haiyang Wu, George Vosselman, Ville Lehtola · 2026-11-11 05:00

HiPFuse：边缘设备机器人感知实时激光雷达语义分割

arXiv:2611.14025v1 Announce Type: new Abstract: Real-time robotic perception requires accurate LiDAR semantics under limited resources. Bird's-eye-view (BEV) aggregation is efficient but can mix differently labeled surfaces in columns. We present HiPFuse, a point-BEV fusion frame…

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HiPFuse：边缘设备机器人感知实时激光雷达语义分割

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