DeTrack is a new benchmark for drone-embodied tracking in 3D environments and AaDWorlds is a dual world model that improves closed-loop performance by using altitude-aware predictions to balance visibility and safety.
Detection and tracking meet drones challenge
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
DAOEF integrates delta-aware caching, action pruning, and hardware matching to deliver 1.45x gains and sub-linear scaling up to 250 agents in multi-agent edge computing.
citing papers explorer
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DeTrack: A Benchmark and Altitude-Aware Dual World Model for Drone-embodied Tracking
DeTrack is a new benchmark for drone-embodied tracking in 3D environments and AaDWorlds is a dual world model that improves closed-loop performance by using altitude-aware predictions to balance visibility and safety.
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A Delta-Aware Orchestration Framework for Scalable Multi-Agent Edge Computing
DAOEF integrates delta-aware caching, action pruning, and hardware matching to deliver 1.45x gains and sub-linear scaling up to 250 agents in multi-agent edge computing.