2 citations · 2 across the 6 of their papers we have counts for
6 papers
MARTIAN: A Rendering Framework for Aerial Mars Imagery from HiRISE Orbital Data
Dario Pisanti, Georgios Georgakis
Aerial navigation on Mars requires vision-based pipelines that are robust to the diverse illumination conditions and terrain morphology of the Martian surface. A key bottleneck for…
Enhancing the Quality of 3D Lunar Maps Using JAXA's Kaguya Imagery
Yumi Iwashita, Haakon Moe, Yang Cheng +6
As global efforts to explore the Moon intensify, the need for high-quality 3D lunar maps becomes increasingly critical-particularly for long-distance missions such as NASA's Endura…
Robust Visual Localization in Compute-Constrained Environments by Salient Edge Rendering and Weighted Hamming Similarity
Tu-Hoa Pham, Philip Bailey, Daniel Posada +5
We consider the problem of vision-based 6-DoF object pose estimation in the context of the notional Mars Sample Return campaign, in which a robotic arm would need to localize multi…
Geometry-aided Vision-based Localization of Future Mars Helicopters in Challenging Illumination Conditions
Dario Pisanti, Robert Hewitt, Roland Brockers +1
Planetary exploration using aerial assets has the potential for unprecedented scientific discoveries on Mars. While NASA's Mars helicopter Ingenuity proved flight in Martian atmosp…
Icy Moon Surface Simulation and Stereo Depth Estimation for Sampling Autonomy
Ramchander Bhaskara, Georgios Georgakis, Jeremy Nash +5
Sampling autonomy for icy moon lander missions requires understanding of topographic and photometric properties of the sampling terrain. Unavailability of high resolution visual da…
Pixel to Elevation: Learning to Predict Elevation Maps at Long Range using Images for Autonomous Offroad Navigation
Chanyoung Chung, Georgios Georgakis, Patrick Spieler +3
Understanding terrain topology at long-range is crucial for the success of off-road robotic missions, especially when navigating at high-speeds. LiDAR sensors, which are currently…