AerialDojo-200K: A Large-Scale Benchmark Suite for Open-World Aerial Object-Goal Search

arXiv:2609.36066 · cs.CV, cs.AI, cs.ET, cs.MM, cs.RO · Submitted 2026-09-28 · Read on arXiv

cs.CV, cs.AI, cs.ET, cs.MM, cs.RO

Submitted: 2026-09-28

Updated: 2026-09-28

Project page: https://fengtt42.github.io/AerialDojo

Terminology

• Benchmark — 40× in this paper · explained in 2 episodes
• Action Space — 9× in this paper · explained in 1 episode
• Adaptation — 4× in this paper · explained in 1 episode
• Generalizability — 3× in this paper · explained in 6 episodes
• CVF International Conference on Computer Vision — 2× in this paper
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Generalization — 2× in this paper · explained in 13 episodes
• APEX — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

Sources

• AirHunt: Bridging VLM Semantics and Continuous Planning for Efficient Aerial Object Navigation
• USS-Nav: Unified Spatio-Semantic Scene Graph for Lightweight UAV Zero-Shot Object Navigation
• RAVEN: Resilient Aerial Navigation via Open-Set Semantic Memory and Behavior Adaptation
• WorldVLN: Autoregressive World Action Model for Aerial Vision-Language Navigation

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