English(EN) GEM: Generating LiDAR World Model via Deformable Mamba

GEM模型使用可变形Mamba进行先进的激光雷达世界建模

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-03 04:00

研究人员开发了GEM，一种用于自动驾驶中基于激光雷达的世界建模的新型生成模型。该模型利用可变形Mamba架构来克服激光雷达点云的无序性和动态与静态物体区分相关的挑战。GEM处理标记化的激光雷达扫描，解耦特征，并采用三路径可变形Mamba以增强时空理解，在各种基准测试中取得了最先进的性能。 AI

影响这项研究通过提高自动驾驶系统感知和预测环境动态的能力，可能显著推进其能力。

排序理由该集群包含一篇详细介绍新模型和架构的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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

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arXiv cs.CV TIER_1 English(EN) · Yang Wu, Zhaojiang Liu, Qiang Meng, Youquan Liu, Renliang Weng, Jianjun Qian, Jian Yang, Jin Xie · 2026-09-03 04:00

GEM：通过可变形Mamba生成LiDAR世界模型

arXiv:2605.07326v2 Announce Type: replace Abstract: World models, which simulate environmental dynamics and generate sensor observations, are gaining increasing attention in autonomous driving. However, progress in LiDAR-based world models has lagged behind those built on camera …