Computer Vision in Space, Short Course | University of Tartu | Tartu, Estonia
14 days
700 EUR/full
700 EUR/full
Tuition fee
Apply date
Start date


Computer vision in space applies AI to analyse visual data in space, aiding satellite imagery, navigation, and planetary exploration. A course on this offers insights into space algorithms, hands-on experience, and a chance to apply knowledge on the Estonian lunar rover platform, bridging theory and practice. Experts' talks and a visit to the Tartu Observatory enhance the learning experience.


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


MA/PhD and advanced BA


  • Ric Dengel, University of Tartu
  • Quazi Saimoon Islam, University of Tartu
  • Rando Avarmaa, University of Tartu
  • Joosep Kivastik, University of Tartu

Key information


  • Full-time
    • 14 days

Start dates & application deadlines






On Campus

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 now

Starting 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/full
    Tuition Fee
    Based on the tuition of 700 EUR for the full programme during 14 days.
  • EU/EEA

    700 EUR/full
    Tuition Fee
    Based 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.


1. Estonian National Scholarships at 

You can read more about the scholarships on the homepage of

2. ENLIGHT scholarship 

More information and the application form are on the ENLIGHT scholarship page: 

3. DAAD scholarship 

More information and application form on the DAAD scholarship page:

4. Partial tuition fee coverage scholarship

More information and the application form for the partial tuition fee coverage are on the scholarship page:

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