[visionlist] AI4Space Workshop @ ECCV 2022

[Tat-Jun Chin]

Website:
https://aiforspace.github.io/2022/

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, Tel-Aviv, late Oct 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
- 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

Paper deadline:
11:59pm 17 June 2022 (tentative)

More details:
https://aiforspace.github.io/2022/
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