CodeSLAM—learning a compact, optimisable representation for dense visual SLAM (bibtex)

by M Bloesch, J Czarnowski, R Clark, S Leutenegger and AJ Davison

Reference:

CodeSLAM—learning a compact, optimisable representation for dense visual SLAM (M Bloesch, J Czarnowski, R Clark, S Leutenegger and AJ Davison), In Proceedings of the IEEE conference on computer vision and pattern recognition, 2018.

Bibtex Entry:

@inproceedings{bloesch2018codeslam,
 title = {CodeSLAM—learning a compact, optimisable representation for dense visual SLAM},
 author = {M Bloesch and J Czarnowski and R Clark and S Leutenegger and AJ Davison},
 booktitle = {Proceedings of the IEEE conference on computer vision and pattern recognition},
 pages = {2560--2568},
 year = {2018},
}

by M Bloesch, J Czarnowski, R Clark, S Leutenegger and AJ Davison

Reference:

Bibtex Entry:

@inproceedings{bloesch2018codeslam,
 title = {CodeSLAM—learning a compact, optimisable representation for dense visual SLAM},
 author = {M Bloesch and J Czarnowski and R Clark and S Leutenegger and AJ Davison},
 booktitle = {Proceedings of the IEEE conference on computer vision and pattern recognition},
 pages = {2560--2568},
 year = {2018},
}

Sebastián Barbas Laina

PhD StudentTechnical University of Munich

School of Computation, Information and Technology
Informatics 9
Boltzmannstrasse 3
85748 Garching
Germany

Tel: +49-89-289-17740
Office: 03.09.039
Mail: Sebastian.Barbas@tum.de

Brief Bio

Hi! My name is Sebastián and I started my PhD journey at SRL on December 2022. I am originally from Spain, where I studied my Bachelor's in Industrial Technology Engineering with a major in electrical engineering at Universidad Politécnica de Madrid and did an exchange at INSA Lyon. As for my Master's I was enrolled in a double degree program between Universidad Politécnica de Madrid and KTH Royal Institute of Technology, studying at the latter the MSc in Systems, Control and Robotics.

After my studies I worked at Ericsson Research and at BASF before deciding to enroll into the PhD program.

Research Interests

Visual and visual inertial SLAM
Heterogeneous SLAM
Computer vision for robotics
Machine learning and deep learning for robotics

Always happy to discuss new research ideas. If you want to conduct research in any of these areas, feel free to contact me!

Student Projects

I am open to supervising ambitious students for their thesis. If you want to work with me, please send me an email describing the area / project you would like to work on. Please also attach your CV and your transcript of records.