Daniel Dugas
Daniel Dugas
PhD Student, Autonomous Systems Lab, ETH Zurich
Verified email at ethz.ch - Homepage
Cited by
Cited by
Segmatch: Segment based place recognition in 3d point clouds
R Dubé, D Dugas, E Stumm, J Nieto, R Siegwart, C Cadena
2017 IEEE International Conference on Robotics and Automation (ICRA), 5266-5272, 2017
SegMap: 3d segment mapping using data-driven descriptors
R Dubé, A Cramariuc, D Dugas, J Nieto, R Siegwart, C Cadena
arXiv preprint arXiv:1804.09557, 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 39 (2-3), 339-355, 2020
Robot Navigation in Crowded Environments Using Deep Reinforcement Learning
L Liu, D Dugas, G Cesari, R Siegwart, R Dubé
Airborne particle classification in lidar point clouds using deep learning
L Stanislas, J Nubert, D Dugas, J Nitsch, N Sünderhauf, R Siegwart, ...
Field and Service Robotics, 395-410, 2021
NavRep: Unsupervised Representations for Reinforcement Learning of Robot Navigation in Dynamic Human Environments
D Dugas, J Nieto, R Siegwart, JJ Chung
arXiv preprint arXiv:2012.04406, 2020
Ian: Multi-behavior navigation planning for robots in real, crowded environments
D Dugas, J Nieto, R Siegwart, JJ Chung
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
Mixed and Augmented Reality Tools in the Medical Anatomy Curriculum
Digital Personalized Health and Medicine: Proceedings of MIE 2020 270, 322, 2020
Crowd against the machine: A simulation-based benchmark tool to evaluate and compare robot capabilities to navigate a human crowd
F Grzeskowiak, D Gonon, D Dugas, D Paez-Granados, J Chung, J Nieto, ...
arXiv preprint arXiv:2104.14177, 2021
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