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Vision Foundation Models for Domain Generalisable Cross-View Localisation in Planetary Ground-Aerial Robotic Teams
Lachlan Holden, Feras Dayoub, Alberto Candela +2
Accurate localisation in planetary robotics enables the advanced autonomy required to support the increased scale and scope of future missions. The successes of the Ingenuity helic…
SceneEdited: A City-Scale Benchmark for 3D HD Map Updating via Image-Guided Change Detection
Chun-Jung Lin, Tat-Jun Chin, Sourav Garg +1
Accurate, up-to-date High-Definition (HD) maps are critical for urban planning, infrastructure monitoring, and autonomous navigation. However, these maps quickly become outdated as…
AI-Enabled Crater-Based Navigation for Lunar Mapping
Sofia McLeod, Chee-Kheng Chng, Matthew Rodda +1
Crater-Based Navigation (CBN) uses the ubiquitous impact craters of the Moon observed on images as natural landmarks to determine the six degrees of freedom pose of a spacecraft. T…
Robust Scene Change Detection Using Visual Foundation Models and Cross-Attention Mechanisms
Chun-Jung Lin, Sourav Garg, Tat-Jun Chin +1
We present a novel method for scene change detection that leverages the robust feature extraction capabilities of a visual foundational model, DINOv2, and integrates full-image cro…
Camera-Pose Robust Crater Detection from Chang'e 5
Matthew Rodda, Sofia McLeod, Ky Cuong Pham +1
As space missions aim to explore increasingly hazardous terrain, accurate and timely position estimates are required to ensure safe navigation. Vision-based navigation achieves thi…