1 citations · 1 across the 4 of their papers we have counts for
6 papers
Who Went Where When on the Lunar Surface: Forensic Trajectory Analysis to Identify Byzantine Rovers
Lachlan Holden, Feras Dayoub, Melissa de Zwart +2
Future planetary surface missions are likely to involve multiple independently operated rovers sharing the same deployment region, raising the need to verify compliance with operat…
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 However, these maps quickly become outdated as…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…