Air-Ground Collaborative Vision-and-Language Navigation via Shared Bird's-Eye Maps

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On September 7, 2026, arXiv cs.AI published the paper “Air-Ground Collaborative Vision-and-Language Navigation via Shared Bird's-Eye Maps”. This study proposes a method based on shared bird's-eye maps, aimed at achieving collaborative visual-language navigation between air and ground devices.

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AGC-VLNCARLA-AirTravel UAVarXiv

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A arXiv cs.AI en 2026-09-07 12:00

研究团队提出 AGC-VLN，首个无需训练的空中 - 地面协同视觉语言导航基线。该方法利用无人机全局视角渲染共享鸟瞰图，为无人车提供其第一人称视图无法获取的全局空间上下文；无人车据此规划路径并在闭环控制下执行，同时无人机运行 3D-SPF 定位目标并飞往。在 CARLA-Air Town10HD 场景的 100 个闭环任务中，AGC-VLN 联合成功率达 77.0%，较较弱个体智能体（无人机，50.0%）提升 27.0%，超过最强单智能体基线（Travel UAV，53.0%）24.0 分。