Andrei Cramariuc
Andrei Cramariuc
Postdoctoral Researcher, ETH Zürich
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Cited by
Cited by
SegMap: 3D Segment Mapping using Data-Driven Descriptors
R Dubé*, A Cramariuc*, D Dugas, J Nieto, R Siegwart, C Cadena
Robotics: Science and Systems (RSS), 2018
SegMap: Segment-based mapping and localization using data-driven descriptors
R Dubé*, A Cramariuc*, D Dugas, H Sommer, M Dymczyk, J Nieto, ...
The International Journal of Robotics Research (IJRR) 39 (2-3), 339-355, 2020
Clustering benefits in mobile-centric WiFi positioning in multi-floor buildings
A Cramariuc, H Huttunen, ES Lohan
International Conference on Localization and GNSS (ICL-GNSS), 2016
Dynamic Object Aware LiDAR SLAM based on Automatic Generation of Training Data
P Pfreundschuh, HFC Hendrikx, V Reijgwart, R Dubé, R Siegwart, ...
International Conference on Robotics and Automation (ICRA), 2021
SemSegMap - 3D Segment-Based Semantic Localization
A Cramariuc*, F Tschopp*, N Alatur, S Benz, T Falck, M Bruehlmeier, ...
International Conference on Intelligent Robots and Systems (IROS), 2021
Hough2Map - Iterative Event-based Hough Transform for High-Speed Railway Mapping
F Tschopp*, C von Einem*, A Cramariuc*, D Hug, AW Palmer, R Siegwart, ...
IEEE Robotics and Automation Letters (RA-L) 6 (2), 2745-2752, 2021
Driving Through Ghosts: Behavioral Cloning with False Positives
A Bühler, A Gaidon, A Cramariuc, R Ambrus, G Rosman, W Burgard
International Conference on Intelligent Robots and Systems (IROS), 2020
Go Fetch: Mobile Manipulation in Unstructured Environments
K Blomqvist*, M Breyer*, A Cramariuc*, J Förster*, M Grinvald*, ...
arXiv preprint arXiv:2004.00899, 2020
maplab 2.0 - A Modular and Multi-Modal Mapping Framework
A Cramariuc*, L Bernreiter*, F Tschopp*, M Fehr, V Reijgwart, J Nieto, ...
IEEE Robotics and Automation Letters (RA-L) 8 (2), 520-527, 2023
NeuralBlox: Real-Time Neural Representation Fusion for Robust Volumetric Mapping
S Lionar, L Schmid, C Cadena, R Siegwart, A Cramariuc
International Conference on 3D Vision (3DV), 2021
Crowdsourced WiFi database and benchmark software for indoor positioning
ES Lohan, J Torres-Sospedra, P Richter, H Leppkoski, J Huerta, ...
Data 2 (4), 2017
Learning 3d segment descriptors for place recognition
A Cramariuc, R Dubé, H Sommer, R Siegwart, I Gilitschenski
arXiv preprint arXiv:1804.09270, 2018
Learning Camera Miscalibration Detection
A Cramariuc*, A Petrov*, R Suri, M Mittal, R Siegwart, C Cadena
International Conference on Robotics and Automation (ICRA), 2020
Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning
L Chen*, Y Ao*, F Tschopp, A Cramariuc, M Breyer, JJ Chung, R Siegwart, ...
Conference on Robot Learning (CoRL), 2020
Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning
Y Ao, L Chen, F Tschopp, M Breyer, R Siegwart, A Cramariuc
International Conference on Robotics and Automation (ICRA), 2022
Descriptellation: Deep Learned Constellation Descriptors for SLAM
C Xing, X Sun, A Cramariuc, S Gull, JJ Chung, C Cadena, R Siegwart, ...
arXiv preprint arXiv:2203.00567, 2022
CalQNet - Detection of Calibration Quality for Life-Long Stereo Camera Setups
J Zhong*, Z Ye*, A Cramariuc, F Tschopp, JJ Chung, R Siegwart, ...
IEEE Intelligent Vehicles Symposium (IV), 2021
Local and Global Information in Obstacle Detection on Railway Tracks
M Brucker, A Cramariuc, C von Einem, R Siegwart, C Cadena
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
Path-Constrained State Estimation for Rail Vehicles
C von Einem, A Cramariuc, R Siegwart, C Cadena, F Tschopp
IEEE International Conference on Intelligent Transportation Systems (ITSC), 2023
Modular Mapping and Learning for Robotics
A Cramariuc
ETH Zurich, 2023
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