2nd Workshop on AI for Space
In conjunction with ECCV 2022
Date: Late October 2022
The space sector is experiencing significant growth. Currently planned activities and utilisation models also greatly exceed the scope, ambition and/or commercial value of space missions in the previous century, e.g., autonomous spacecraft, space mining, and understanding the universe. Achieving these ambitious goals requires surmounting non-trivial technical obstacles. AI4Space focuses on the role of AI, particularly computer vision and machine learning, in helping to solve those technical hurdles. The workshop will highlight the space capabilities that draw from and/or overlap significantly with vision and learning research, outline the unique difficulties presented by space applications to vision and learning, and discuss recent advances towards overcoming those obstacles.
Call for Papers
We solicit papers for AI4Space. Papers will be reviewed and accepted papers will be published in the proceedings of ECCV Workshops. Authors of accepted papers will also be invited to present at the workshop (in hybrid mode) at ECCV 2022.
The general emphasis of AI4Space is vision and learning algorithms in off-Earth environments, including in the orbital region, surface and underground environments on other planetary bodies (e.g., the moon, Mars and asteroids), interplanetary space and solar system, and distant galaxies. Target application areas include autonomous spacecraft, space robotics, space traffic management, astronomy, astrobiology and cosmology. Emphasis is also placed on novel sensors and processing hardware for vision and learning in space, mitigating the challenges of the space environment towards vision and learning (e.g., solar radiation, extreme temperatures), and solving practical difficulties in vision and learning for space (e.g., lack of training data, unknown or partially known characteristics of operating environments).
A specific list of topics is as follows:
- Visual navigation for spacecraft operations (rendezvous, docking, maneuvers, entry descent landing)
- Vision and learning for space robotics
- GPS-denied positioning on the moon and Mars
- Space debris monitoring and mitigation
- Vision and learning for astronomy, astrobiology and cosmology
- Novel sensors for space applications
- Processing hardware for vision and learning in space
- Mitigating challenges of the space environment to vision and learning
- Datasets, transfer learning and domain gap for space problems
Peaceful usage of AI for space
All papers published via this workshop must be aimed towards the peaceful usage of AI for space.
Submissions should be in the ECCV format and are limited to 14 pages excluding reference. Use the template for detailed formatting instructions. Please refer to the main conference's submission guildelines for more details, and do not hesitate to contact the lead organiser Tat-Jun Chin if you have any questions.
Paper submission will be conducted through CMT3 (link TBD). Submission deadline
Reviewing is double blind - remember to remove your names and affiliations in the submitted version (selecting the reviewing option in the LaTeX template will take care of that). Accepted works will be published in the ECCV 2022 proceedings.
We are excited to co-host an AI for space challenge SPARK2022 with the workshop. The competition requires participants to develop data-driven approaches for spacecraft detection and trajectory estimation. SPARK will utilise data synthetically simulated with a state-of-the-art rendering engine in addition to data collected from the Zero-G Lab at the University of Luxembourg.
Final results and awards will be announced at AI4Space at ECCV 2022. Challenge winners may also be invited to present their methods at the workshop (subject to time availability in the finalised workshop program).
Important DatesAll times/dates below are in Pacific Standard Time (PST).
|Paper Submission Deadline|
|Notification to Authors|
|Workshop Date||Late October 2022|