Event-based cameras have remarkable advantages in challenging robotics conditions involving high-dynamic range and very fast motion. These are exactly the conditions a spacecraft encounters during descent on celestial bodies such as Mars or the Moon, where abrupt changes in illumination and fast dynamics relative to the ground can affect vision-based navigation systems relying on standard cameras. In this work, we want to design novel spacecraft navigation methods for descent and landing phases, exploiting the power efficiency and sparsity of event cameras. The project is in collaboration with European Space Agency at the European Space Research and Technology Centre (ESTEC) in Noordwijk (NL). We look for students with strong programming (Pyhton/Matlab) and computer vision background. Additionally, knowledge in machine learning frameworks (pytorch, tensorflow) is required.
Event-based cameras have remarkable advantages in challenging robotics conditions involving high-dynamic range and very fast motion. These are exactly the conditions a spacecraft encounters during descent on celestial bodies such as Mars or the Moon, where abrupt changes in illumination and fast dynamics relative to the ground can affect vision-based navigation systems relying on standard cameras. In this work, we want to design novel spacecraft navigation methods for descent and landing phases, exploiting the power efficiency and sparsity of event cameras. The project is in collaboration with European Space Agency at the European Space Research and Technology Centre (ESTEC) in Noordwijk (NL). We look for students with strong programming (Pyhton/Matlab) and computer vision background. Additionally, knowledge in machine learning frameworks (pytorch, tensorflow) is required.
Help build the next generation of high-speed event camera-based spacecraft navigation in challenging illumination conditions.
Help build the next generation of high-speed event camera-based spacecraft navigation in challenging illumination conditions.
Interested candidates should send their CV, transcripts (bachelor and master), and descriptions of relevant projects to Marco Cannici (cannici AT ifi DOT uzh DOT ch), Nikola Zubic (zubic AT ifi DOT uzh DOT ch)
Interested candidates should send their CV, transcripts (bachelor and master), and descriptions of relevant projects to Marco Cannici (cannici AT ifi DOT uzh DOT ch), Nikola Zubic (zubic AT ifi DOT uzh DOT ch)