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Overview
On-site in Tartu 28 July - 10 August 2024
Computer vision in space involves the application of image processing and artificial intelligence techniques to analyse visual data obtained in space environments. This field encompasses the development and implementation of algorithms for tasks such as object recognition, tracking, and autonomous navigation in space missions. It plays a crucial role in interpreting satellite imagery, aiding planetary exploration through robotic missions, and enhancing the capabilities of spacecraft and rovers. The goal is to enable machines to "see" and interpret visual information, contributing to the success and efficiency of various space-related endeavours.
The course on Computer Vision in Space aims to provide a comprehensive understanding of various aspects related to the application of visual methods towards space exploration. The course offers insights into the algorithms and methods employed in space applications. During the two-week programme, participants will delve into the topic’s foundational principles, deployment methods and approaches to operate onboard spacecrafts or rovers. Exercises aligned with the lectures will provide the required hands on experience, which will be tied into a short summarizing project work at the end of the summer school, where the participants can apply the various aspects learned during the last days.
An exciting and unique aspect of the course is the opportunity for participants to test their own implementations on the KuupKulgur, the Estonian lunar rover platform. This practical exposure will provide a rare chance for students to witness the translation of theoretical concepts into real-world scenarios. Throughout the week, several experts in the field will present inspirational talks. Additionally, there will be a guided visit to the Tartu Observatory Space Missions Simulation Center.
Programme Structure
- Computer vision in space overview
- Introduction to image processing and computer vision. Geometric(classic) computer vision algorithms
- Introduction to machine learning-based approaches. Non-geometric (neural network) computer vision algorithm
- Space-specific applications of computer vision (visual navigation,etc.) and novel approaches.Example implementation of computer vision for a space scenario
- Determinism and reliability in space on an algorithmic level.Algorithmic complexities for different computer vision methods
- Traditional processing platforms onboard spacecraft. Algorithm deployment on a generic processing core(CPU)
- Modern processing platforms onboard spacecraft. Deploying computer vision on graphical/dedicated processing core(GPU/Hardware Accelerators)
- Device complexities and reliability on processing unit level. Performance comparison between different processing units
- Implementation of a selected visual method on the KuupKulgur’s processing unit
Audience
MA/PhD and advanced BA
Lecturers
- Ric Dengel, University of Tartu
- Quazi Saimoon Islam, University of Tartu
- Rando Avarmaa, University of Tartu
- Joosep Kivastik, University of Tartu
Key information
Duration
- Full-time
- 14 days
Start dates & application deadlines
- Starting
- Apply before
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Language
English
Credits
3 ECTS
Delivered
On Campus
Disciplines
Astronomy & Space Sciences Robotics Computer SciencesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Student insurance
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:
- Additional medical costs (i.e. dental)
- Repatriation, if something happens to you or your family
- Liability
- Home contents and baggage
- Accidents
- Legal aid
We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of Tartu and/or in Estonia, please visit Student Insurance Portal.
Other requirements
General requirements
- MA/PhD and advanced BA
- Online application form
- Application fee of 25 EUR
- Motivation letter (up to 1 page) that demonstrates the applicant’s motivation to participate, his/her expectations about the programme, how participation in the summer programme relates to his/her studies and interests, and how the applicant plans to use the gained experience and knowledge in the future.
- Transcript of academic records
- Copy of passport
Tuition Fee
To always see correct tuition fees
-
International
700 EUR/fullTuition FeeBased on the tuition of 700 EUR for the full programme during 14 days. -
EU/EEA
700 EUR/fullTuition FeeBased on the tuition of 700 EUR for the full programme during 14 days.
Living costs for Tartu
300 - 600 EUR /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
1. Estonian National Scholarships at StudyinEstonia.ee.
You can read more about the scholarships on the homepage of StudyinEstonia.ee.
2. ENLIGHT scholarship
More information and the application form are on the ENLIGHT scholarship page: https://ut.ee/en/content/enlight-scholarship
3. DAAD scholarship
More information and application form on the DAAD scholarship page: https://ut.ee/en/content/daad-scholarship
4. Partial tuition fee coverage scholarship
More information and the application form for the partial tuition fee coverage are on the scholarship page: https://ut.ee/en/content/scholarships-summer-programmes
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