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.
Focus area: | Computer Vision in Space | Coordinating unit at UT |
Tartu Observatory / Space Technology Department |
Study Field: |
Robotics and Computer Engineering |
Course Leader | Ric Dengel, University of Tartu |
Format | Summer course | Location | Tartu, Estonia |
Course dates: | 28 July - 10 August 2024 | Apply by: | 30 April 2024 |
ECTS: | 3 | Fee: | 700 € |
Study group | MSc and advanced BSc | Language | English |
Lecturers
Sunday, July 28
Arrival
Monday, July 29
Welcome meeting, Introduction and overview of computer vision in space
Tuesday, July 30
Lecture: Introduction to image processing and computer vision
Exercises: Geometric (classic) computer vision algorithms
Wednesday, July 31
Lecture: Introduction to machine learning based approaches
Exercises: Non-geometric (neural network) computer vision algorithm
Thursday, August 1
Lectures: Space specific applications of computer vision (visual navigation etc.) and novel approaches.
Exercises: Example implementation of computer vision for a space scenario
Friday, August 2
Lectures: Determinism and reliability in space on an algorithmic level
Exercise: Algorithmic complexities for different computer vision methods
Saturday, August 3
Free day
Sunday, August 4
Free day
Monday, August 5
Lectures: Traditional processing platforms onboard spacecraft
Exercises: Algorithm deployment on a generic processing core (CPU)
Tuesday, August 6
Lectures: Modern processing platforms onboard spacecraft
Exercise: Deploying computer vision on graphical/dedicated processing core(GPU/ Hardware Accelerators)
Wednesday, August 7
Lectures: Device complexities and reliability on processing unit level
Exercises: Performance comparison between different processing units
Thursday, August 8
Implementation of a selected visual method on the KuupKulgur’s processing unit as group project
Friday, August 9
Project demonstration and final presentations
Saturday, August 10
Departure
Both bachelor and master level students are welcome to apply. Primary focus is for students with engineering and computer science backgrounds.
Entry requirements:
PS: Only complete applications including all annexes submitted by the deadline will be considered for selection.
1. Develop a strategy to solve a specific computer vision problem based on known algorithms and deployment on an applicable processing platform.
2. Understand and analyse different processing architectures for space computer vision applications.
3. Demonstrate the ability to deploy different algorithms on a space processing platform.
4. Demonstrate and apply knowledge of computer vision techniques towards space applications.
5. Understand the trade-off between different geometrics and non-geometric approaches in computer vision methods.
Two weeks prior to the start of the programme an information file will be sent to all participants. This file contains the daily schedule and relevant contact information of the programme managers.
Students are responsible for their travel, accommodation and travel insurance (visa arrangements if needed) from their home country to Tartu and back to their home country. It is recommended to visit the Tartu Welcome Centre website and arrival and housing section to find accommodation opportunities.