Dual-encoder networks using vision foundation models and synthetic data achieve accurate cross-view localization for rovers in aerial maps, validated on new real planetary analogue trajectories and synthetic image pairs with particle filter state estimation.
Total Ionizing Dose Radiation Testing of NVIDIA Jetson Orin NX System on Module
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Vision Foundation Models for Domain Generalisable Cross-View Localisation in Planetary Ground-Aerial Robotic Teams
Dual-encoder networks using vision foundation models and synthetic data achieve accurate cross-view localization for rovers in aerial maps, validated on new real planetary analogue trajectories and synthetic image pairs with particle filter state estimation.