Johan Vertens
Johan Vertens
Verified email at informatik.uni-freiburg.de
TitleCited byYear
Adapnet: Adaptive semantic segmentation in adverse environmental conditions
A Valada, J Vertens, A Dhall, W Burgard
2017 IEEE International Conference on Robotics and Automation (ICRA), 4644-4651, 2017
532017
Smsnet: Semantic motion segmentation using deep convolutional neural networks
J Vertens, A Valada, W Burgard
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
272017
From plants to landmarks: Time-invariant plant localization that uses deep pose regression in agricultural fields
F Kraemer, A Schaefer, A Eitel, J Vertens, W Burgard
arXiv preprint arXiv:1709.04751, 2017
72017
Perspectives on deep multimodel robot learning
W Burgard, A Valada, N Radwan, T Naseer, J Zhang, J Vertens, O Mees, ...
Robotics Research, 17-24, 2020
22020
Long-term urban vehicle localization using pole landmarks extracted from 3-D lidar scans
A Schaefer, D Büscher, J Vertens, L Luft, W Burgard
2019 European Conference on Mobile Robots (ECMR), 1-7, 2019
2019
A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans
A Schaefer, J Vertens, D Büscher, W Burgard
2019 International Conference on Robotics and Automation (ICRA), 72-78, 2019
2019
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Articles 1–6