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English(EN) Air-Ground Collaborative Vision-and-Language Navigation via Shared Bird's-Eye Maps

新型AGC-VLN系统实现空地协同导航

研究人员推出了一种新颖的、无需训练的基线系统AGC-VLN,用于空地协同视觉与语言导航(VLN)。该系统将一架无人机(UAV)与全局鸟瞰图配对,以及一辆无人地面车辆(UGV)与局部第一人称视角配对,使它们能够共享空间上下文。无人机将UGV的姿态和目标位置渲染到共享的鸟瞰图上,UGV利用该图规划一条沿路路径。在CARLA-Air Town10HD环境中进行测试,AGC-VLN取得了77.0%的联合成功率,显示出相比单独代理的显著协同增益。 AI

影响 这项研究推进了协同导航系统,可能提高了机器人代理在复杂环境中的自主性和协调性。

排序理由 该集群包含一篇详细介绍特定AI任务新算法和系统的研究论文。

在 arXiv cs.AI 阅读 →

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新型AGC-VLN系统实现空地协同导航

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报道来源 [1]

  1. arXiv cs.AI TIER_1 English(EN) · Shuning Zhang, Liang Li, Yunheng Wang, Tao Wang, Yihang Kang, Renjing Xu ·

    通过共享鸟瞰图实现空地协同视觉语言导航

    arXiv:2609.03483v1 Announce Type: cross Abstract: Air-ground collaborative Vision-and-Language Navigation (VLN) pairs an unmanned aerial vehicle (UAV) with a global bird's-eye view and an unmanned ground vehicle (UGV) with a local first-person view, yet the setting remains largel…