ReSyRIS - A Real-Synthetic Rock Instance Segmentation Dataset for Training and Benchmarking
Author:
Affiliation:
1. German Aerospace Center (DLR), Institute of Robotics and Mechatronics,Weßling,Germany,82234
Funder
Helmholtz association
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10115529/10115530/10115802.pdf?arnumber=10115802
Reference22 articles.
1. A Kernel-Based Multi-Featured Rock Modeling and Detection Framework for a Mars Rover
2. S$^ {5}$Mars: Self-Supervised and Semi-Supervised Learning for Mars Segmentation;zhang;ArXiv,2022
3. AI4MARS: A Dataset for Terrain-Aware Autonomous Driving on Mars
4. GMSRI: A Texture-Based Martian Surface RockImage Dataset;wang;SENSORS,2021
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1. OmniLRS: A Photorealistic Simulator for Lunar Robotics;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13
2. End-to-end deep learning pipeline for on-board extraterrestrial rock segmentation;Engineering Applications of Artificial Intelligence;2024-01
3. A Mars Multi-terrain Simulator Using a Modular Terrain Construction Framework;2023 IEEE 2nd Industrial Electronics Society Annual On-Line Conference (ONCON);2023-12-08
4. Autonomous Rock Instance Segmentation for Extra-Terrestrial Robotic Missions;2023 IEEE Aerospace Conference;2023-03-04
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