AirGroundBench is a new diagnostic benchmark exposing that MLLMs handle basic spatial perception but struggle with cross-view alignment, transformation reasoning, and embodied navigation under heterogeneous air-ground views.
MM-UA VBench: How well do multimodal large language models see, think, and plan in low-altitude uav scenarios?
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SpatialUAV releases a new multi-task benchmark for low-altitude UAV spatial intelligence and demonstrates that existing VLMs exhibit clear weaknesses in cross-view association and geometric reasoning.
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AirGroundBench: Probing Spatial Intelligence in Multimodal Large Models under Heterogeneous Multi-View Embodied Collaboration
AirGroundBench is a new diagnostic benchmark exposing that MLLMs handle basic spatial perception but struggle with cross-view alignment, transformation reasoning, and embodied navigation under heterogeneous air-ground views.