ScoutVLA: UAV-Centric Active Perception via a Dual-Expert VLA Model for Open-World Embodied Question Answering
arXiv:2606.14772v1 Announce Type: cross Abstract: Aerial Embodied Question Answering (EQA) requires Unmanned Aerial Vehicles (UAVs) to actively perceive the environment and answer natural language questions. Existing outdoor EQA systems usually stop once the target enters the UAV's field of view, leaving the fine-grained viewpoint adjustment needed for evidence-seeking questions largely unresolved. To address this issue, we introduce FG-EQA, a fine-grained active perception EQA benchmark with more than 40K simulated trajectories and 1K real-world trajectories. Drawing inspiration from the ``wa
The increasing sophistication of vision-language models and the demand for autonomous systems capable of complex environmental interaction now enable more fine-grained active perception in UAVs.
This development advances the capability of autonomous aerial systems to not just detect, but actively and intelligently seek evidence within environments, enhancing their utility for various applications.
UAV-centric embodied question answering systems can now perform fine-grained viewpoint adjustments for evidence-seeking, moving beyond simple target detection to more intelligent and adaptive environmental perception.
- · Defense contractors
- · Logistics and inspection services
- · UAV manufacturers
- · AI research labs
- · Manual inspection companies
- · Legacy surveillance systems
Improved situational awareness and operational efficiency for autonomous aerial vehicles in complex environments.
Increased adoption of AI-powered UAVs for critical infrastructure inspection, disaster response, and military reconnaissance.
The development of more sophisticated AI 'personalities' for autonomous agents, leading to true cognitive assistants that operate in the physical world.
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Read at arXiv cs.AI