MF-UAVPose6D estimates 6-DoF poses of fixed-wing UAVs from monocular RGB images without CAD models using heatmap center localization, Perspective-Aware Module, Dynamic Topological Sampling, and decoupled decoding on a new synthetic dataset.
Yao et al
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A survey of UAV vision-and-language navigation that establishes a methodological taxonomy, reviews resources and challenges, and proposes a forward-looking research roadmap.
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MF-UAVPose6D: A Model-Free Monocular 6-DoF Pose Estimation Framework for Fixed-Wing UAVs
MF-UAVPose6D estimates 6-DoF poses of fixed-wing UAVs from monocular RGB images without CAD models using heatmap center localization, Perspective-Aware Module, Dynamic Topological Sampling, and decoupled decoding on a new synthetic dataset.
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Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap
A survey of UAV vision-and-language navigation that establishes a methodological taxonomy, reviews resources and challenges, and proposes a forward-looking research roadmap.