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Hi, I'm Hermann. I work as a PostDoc in the Computer Vision and Geometry Lab of ETH Zürich. For my PhD I was part of the Autonomous Systems Lab at ETH Zürich.

My research focuses on robotic perception. I strive to build robots that can understand their environment semantically and geometrically, in order to perform manipulation and other safety critical tasks in proximity to humans.

hermannsblumhermannsblum@hermannblum@scholar.social

Visit the CVG website for latest updates from my colleagues.

Here are my recent works:

Interactive OAISYS: A photorealistic terrain simulation for robotics research
MG Müller, J Lim, L Schmid, H Blum, W Stürzl, A Gawel, R Siegwart, ...
ICRA 2022
🏆 Best Paper Runner-up at the 2021 NeurIPS Robot Learning Workshop
Continual Adaptation of Semantic Segmentation Using Complementary 2D-3D Data Representations
J Frey, H Blum, F Milano, R Siegwart, C Cadena
IEEE Robotics and Automation Letters 2022
🏆 Best Paper Runner-up at the 2021 NeurIPS Robot Learning Workshop
mm-precise RGBD pointclouds
SL Sensor: An open-source, real-time and robot operating system-based structured light sensor for high accuracy construction robotic applications
TF Lam, H Blum, R Siegwart, A Gawel
Automation in Construction 2022
mm-precise RGBD pointclouds
SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene Understanding
H Blum, MG Müller, A Gawel, R Siegwart, C Cadena
2022
See Yourself in Others: Attending Multiple Tasks for Own Failure Detection
B Sun, J Xing, H Blum, R Siegwart, C Cadena
ICRA 2022
integrates our NeurIPS workshop work into a fully autonomous press-start-and-leave domain adaptation
Embodied Active Domain Adaptation for Semantic Segmentation via Informative Path Planning
R Zurbrügg, H Blum, C Cadena, R Siegwart, L Schmid
integrates our NeurIPS workshop work into a fully autonomous press-start-and-leave domain adaptation
Global Localization in Meshes
M Dreher, H Blum, R Siegwart, A Gawel
ISARC 2021
Precise Robot Localization in Architectural 3D Plans
H Blum, J Stiefel, C Cadena, R Siegwart, A Gawel
ISARC 2021
Pixel-wise Anomaly Detection in Complex Driving Scenes
G Di Biase*, H Blum*, R Siegwart, C Cadena
Our new concept for robots that learn on their own
Self-Improving Semantic Perception for Indoor Localisation
H Blum, F Milano, R Zurbrügg, R Siegwart, C Cadena, A Gawel
Conference on Robot Learning 2021
Our new concept for robots that learn on their own
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
R Chan*, K Lis*, S Uhlemeyer*, H Blum*, S Honari, R Siegwart, P Fua, M Salzmann, M Rottmann
NeurIPS 2021 - Dataset Track
Accurate mapping and planning for autonomous racing
L Andresen*, A Brandemuehl*, A Hönger*, B Kuan*, N Vödisch*, H Blum, V Reijgwart, L Bernreiter, L Schaupp, J J Chung, M Bürki, M R Oswald, R Siegwart, A Gawel
new follow-up on density-based uncertainties, poster at the NeurIPS 2020 Bayesian Deep Learning workshop
The hidden uncertainty in a neural networks activations
J Postels*, H Blum*, C Cadena, R Siegwart, L Van Gool, F Tombari
2020
new follow-up on density-based uncertainties, poster at the NeurIPS 2020 Bayesian Deep Learning workshop
paper figure
Quantifying aleatoric and epistemic uncertainty using density estimation in latent space
J Postels, H Blum, C Cadena, R Siegwart, L Van Gool, F Tombari
2020
Online Synchronization of Building Model for On-Site Mobile Robotic Construction
S Ercan, H Blum, A Gawel, R Siegwart, F Gramazio, M Kohler
ISARC 2020
Fishyscapes: A benchmark for safe semantic segmentation in autonomous driving
first mayor work of our interdisciplinary construction-robotics team
A Fully-Integrated Sensing and Control System for High-Accuracy Mobile Robotic Building Construction
A Gawel, H Blum, J Pankert, K Krämer, L Bartolomei, S Ercan, F Farshidian, M Chli, F Gramazio, R Siegwart, M Hutter, T Sandy
first mayor work of our interdisciplinary construction-robotics team
Active Learning for UAV-based Semantic Mapping
H Blum, S Rohrbach, M Popovic, L Bartolomei, R Siegwart
2nd Workshop on Informative Path Planning and Adaptive Sampling, RSS 2019
Learning Densities in Feature Space for Reliable Segmentation of Indoor Scenes
N Marchal, C Moraldo, H Blum, R Siegwart, C Cadena, A Gawel
IEEE Robotics and Automation Letters (RA-L) 2019
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation
H Blum*, PE Sarlin*, J Nieto, R Siegwart, C Cadena
paper figure
Modular Sensor Fusion for Semantic Segmentation
H Blum, A Gawel, R Siegwart, C Cadena
IROS 2018
Obstacle avoidance and target acquisition for robot navigation using a mixed signal analog/digital neuromorphic processing system
A neuromorphic controller for a robotic vehicle equipped with a dynamic vision sensor
H Blum*, A Dietmüller*, M Milde, J Conradt, G Indiveri, Y Sandamirskaya

Thanks to 0melapics / Freepik for the robot decorations.

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