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Technical University of Munich
Technical University of Munich

Nikolas Brasch



M.Sc. Nikolas Brasch

Informatics 16 - Chair of Computer Aided Medical Procedures (Prof. Navab)

Postal address

Postal:
Boltzmannstr. 3
85748 Garching b. München

Research Interests

  • 3D Computer Vision
  • SLAM
  • 3D Scene Understanding

Publications

2021

  • Jung, HyunJun; Brasch, Nikolas; Leonardis, Ales; Navab, Nassir; Busam, Benjamin: Wild ToFu : Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments. Proceedings of the IEEE International Conference on 3D Vision (3DV), 2021, 2021 more…

2020

  • Li, Y.; Brasch, N.; Wang, Y.; Navab, N.; Tombari, F.: Structure-SLAM: Low-Drift Monocular SLAM in Indoor Environments. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 more…

2018

  • Brasch, N.; Bozic, A.; Lallemand, J.; Tombari, F.: Semantic Monocular SLAM for Highly Dynamic Environments. 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018 more…

Teaching

Winter term 2024/25

TitleDatesTypeDurationLecturer (assistant)
Master-Seminar - Modern Computer Vision Methods (IN2107, IN4486)LinkSE2
Praktikum on 3D Computer Vision (IN2106, IN4313)LinkPR6

Student Projects

Available
DA/MA/BA Thesis or Guided Research in Autonomous Driving related topics
(Nikolas Brasch, Federico Tombari)
Running
DA/MA/BA 3D Human Pose Estimation from RGB Images
(Nikolas Brasch, Federico Tombari)
DA/MA/BA< Planning on Dense Semantic Reconstructions
(Nikolas Brasch, Federico Tombari)
Finished
DA/MA/BA Dynamic objects in dense reconstruction
(Nikolas Brasch, Federico Tombari)
Master Thesis Evaluation of real-time dense reconstruction for robotic navigation
(Nikolas Brasch, Federico Tombari)
Master Thesis Trajectory Validation using Deep Learning Methods
(Nikolas Brasch, Federico Tombari)
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