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English(EN) Unified Map Prior Encoder for Mapping and Planning

统一地图先验编码器增强自动驾驶建图与规划

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员开发了一种统一地图先验编码器（UMPE），旨在将高清/标清矢量地图、栅格地图和卫星图像等多样化的地图数据整合到自动驾驶系统中。该编码器通过为矢量和栅格数据采用独立的分支，并配备对齐和融合机制，解决了数据异构性和姿态漂移等挑战。UMPE在nuScenes和Argoverse2等数据集上显著提高了建图精度，并在端到端规划任务中显著降低了轨迹误差和碰撞率。 AI

影响 通过统一先验数据集成，实现更鲁棒、更精确的建图和规划，从而增强自动驾驶能力。

排序理由 这是一篇详细介绍自动驾驶新方法的学术论文。

在 arXiv cs.CV 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

统一地图先验编码器增强自动驾驶建图与规划

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报道来源 [2]

  1. arXiv cs.CV TIER_1 English(EN) · Zongzheng Zhang, Sizhe Zou, Guantian Zheng, Zhenxin Zhu, Yu Gao, Guoxuan Chi, Shuo Wang, Yuwen Heng, Zhigang Sun, Yiru Wang, Hao Sun, Chao Ma, Zhen Li, Anqing Jiang, Hao Zhao ·

    统一地图先验编码器用于建图与规划

    arXiv:2605.02762v1 Announce Type: new Abstract: Online mapping and end-to-end (E2E) planning in autonomous driving remain largely sensor-centric, leaving rich map priors, including HD/SD vector maps, rasterized SD maps, and satellite imagery, underused because of heterogeneity, p…

  2. arXiv cs.CV TIER_1 English(EN) · Hao Zhao ·

    统一地图先验编码器用于建图与规划

    Online mapping and end-to-end (E2E) planning in autonomous driving remain largely sensor-centric, leaving rich map priors, including HD/SD vector maps, rasterized SD maps, and satellite imagery, underused because of heterogeneity, pose drift, and inconsistent availability at test…

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