CosFlyTrack provides 12,000 expert UAV trajectories with aligned RGB, depth, segmentation, pose, target state, and bilingual instructions to train visual tracking agents, yielding 53-69 point gains in success rate after fine-tuning.
Hart, Nils J
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.RO 2years
2026 2representative citing papers
N3P decomposes automated parking into three stages via a learned preparatory pose, accelerating Hybrid A* by over 80% while outperforming RL baselines in success rate and trajectory quality.
citing papers explorer
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CosFly-Track: A Large-Scale Multi-Modal Dataset for UAV Visual Tracking via Multi-Constraint Trajectory Optimization
CosFlyTrack provides 12,000 expert UAV trajectories with aligned RGB, depth, segmentation, pose, target state, and bilingual instructions to train visual tracking agents, yielding 53-69 point gains in success rate after fine-tuning.
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N3P: Accelerated Automated Parking via a Learning-Based Naturalistic Three-Stage Scheme
N3P decomposes automated parking into three stages via a learned preparatory pose, accelerating Hybrid A* by over 80% while outperforming RL baselines in success rate and trajectory quality.