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English(EN) CLIFE: Camera-LiDAR Fusion Framework for Edge-Deployable Roadside VRU Perception

原生边缘CLIFE框架增强路侧VRU感知

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了CLIFE，一个用于边缘部署的路侧弱势道路使用者（VRU）感知的全新框架。该系统集成了无目标在线标定和轻量级晚期融合跟踪，完全在单个嵌入式设备上运行，无需云卸载。与单独的传感器相比，CLIFE在感知范围和鲁棒性方面均有显著提升，在Jetson AGX Thor上实现了53.2 FPS的高吞吐量，适合实时交叉路口应用。 AI

影响 这个原生边缘框架通过改善对弱势道路使用者的感知，有望在交叉路口实现更鲁棒、实时的安全应用。

排序理由 该集群包含一篇详细介绍新计算机视觉框架的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

原生边缘CLIFE框架增强路侧VRU感知

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该集群包含一篇详细介绍新计算机视觉框架的研究论文。[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) · Tam Bang, Hoang H. Nguyen, Lei Cheng, Lihao Guo, Siyang Cao, Hussam Abubakr, Tianya Zhang, Austin Harris, Mina Sartipi ·

    CLIFE：用于边缘可部署路侧VRU感知的摄像头-激光雷达融合框架

    arXiv:2607.16154v1 Announce Type: new Abstract: Reliable roadside perception of vulnerable road users (VRUs) remains challenging under occlusions, variable lighting, and diverse weather conditions, particularly under strict edge-computing and latency constraints. Existing multi-s…

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