Deegan Atha

According to our database, Deegan Atha authored at least 9 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

COARSE: Collaborative Pseudo-Labeling with Coarse Real Labels for Off-Road Semantic Segmentation.

Aurelio Noca, Xianmei Lei, Jonathan Becktor, Jeffrey A. Edlund, Anna Sabel, Patrick Spieler, Curtis Padgett, Alexandre Alahi, Deegan Atha

CoRR, March, 2025

2024

RoadRunner M&M - Learning Multi-Range Multi-Resolution Traversability Maps for Autonomous Off-Road Navigation.

Manthan Patel, Jonas Frey, Deegan Atha, Patrick Spieler, Marco Hutter, Shehryar Khattak

IEEE Robotics Autom. Lett., December, 2024

Few-shot Semantic Learning for Robust Multi-Biome 3D Semantic Mapping in Off-Road Environments.

Deegan Atha, Xianmei Lei, Shehryar Khattak, Anna Sabel, Elle Miller, Aurelio Noca, Grace Lim, Jeffrey A. Edlund, Curtis Padgett, Patrick Spieler

CoRR, 2024

ShadowNav: Autonomous Global Localization for Lunar Navigation in Darkness.

Deegan Atha, R. Michael Swan, Abhishek Cauligi, Anne Bettens, Edwin Goh, Dima Kogan, Larry H. Matthies, Masahiro Ono

CoRR, 2024

RoadRunner - Learning Traversability Estimation for Autonomous Off-road Driving.

Jonas Frey, Shehryar Khattak, Manthan Patel, Deegan Atha, Julian Nubert, Curtis Padgett, Marco Hutter, Patrick Spieler

CoRR, 2024

2023

ShadowNav: Crater-Based Localization for Nighttime and Permanently Shadowed Region Lunar Navigation.

Abhishek Cauligi, R. Michael Swan, Masahiro Ono, Shreyansh Daftry, John Elliott, Larry H. Matthies, Deegan Atha

CoRR, 2023

2022

Lunar Rover Localization Using Craters as Landmarks.

Larry H. Matthies, Shreyansh Daftry, Scott Tepsuporn, Yang Cheng, Deegan Atha, R. Michael Swan, Sanjna Ravichandar, Masahiro Ono

CoRR, 2022

Self-Supervised Traversability Prediction by Learning to Reconstruct Safe Terrain.

Robin Schmid, Deegan Atha, Frederik Schöller, Sharmita Dey, Seyed Abolfazl Fakoorian, Kyohei Otsu, Barry Ridge, Marko Bjelonic, Lorenz Wellhausen, Marco Hutter, Ali-akbar Agha-mohammadi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

AI4MARS: A Dataset for Terrain-Aware Autonomous Driving on Mars.

R. Michael Swan, Deegan Atha, Henry A. Leopold, Matthew Gildner, Stephanie Oij, Cindy Chiu, Masahiro Ono

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021