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Rudolph Triebel
Rudolph Triebel
German Aerospace Center (DLR) and Karlsruhe Institute of Technology (KIT)
在 kit.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
A survey of uncertainty in deep neural networks
J Gawlikowski, CRN Tassi, M Ali, J Lee, M Humt, J Feng, A Kruspe, ...
Artificial Intelligence Review 56 (Suppl 1), 1513-1589, 2023
9322023
Implicit 3d orientation learning for 6d object detection from rgb images
M Sundermeyer, ZC Marton, M Durner, M Brucker, R Triebel
Proceedings of the european conference on computer vision (ECCV), 699-715, 2018
6502018
Multi-level surface maps for outdoor terrain mapping and loop closing
R Triebel, P Pfaff, W Burgard
2006 IEEE/RSJ international conference on intelligent robots and systems …, 2006
4942006
Map building with mobile robots in dynamic environments
D Hahnel, R Triebel, W Burgard, S Thrun
2003 IEEE International Conference on Robotics and Automation (Cat. No …, 2003
4102003
A system for volumetric robotic mapping of abandoned mines
S Thrun, D Hahnel, D Ferguson, M Montemerlo, R Triebel, W Burgard, ...
2003 IEEE International Conference on Robotics and Automation (Cat. No …, 2003
3972003
Spencer: A socially aware service robot for passenger guidance and help in busy airports
R Triebel, K Arras, R Alami, L Beyer, S Breuers, R Chatila, M Chetouani, ...
Field and Service Robotics: Results of the 10th International Conference …, 2016
3102016
Contact-graspnet: Efficient 6-dof grasp generation in cluttered scenes
M Sundermeyer, A Mousavian, R Triebel, D Fox
2021 IEEE International Conference on Robotics and Automation (ICRA), 13438 …, 2021
2852021
Supervised semantic labeling of places using information extracted from sensor data
OM Mozos, R Triebel, P Jensfelt, A Rottmann, W Burgard
Robotics and Autonomous Systems 55 (5), 391-402, 2007
2552007
An efficient extension to elevation maps for outdoor terrain mapping and loop closing
P Pfaff, R Triebel, W Burgard
The International Journal of Robotics Research 26 (2), 217-230, 2007
2082007
Multiclass multimodal detection and tracking in urban environments
L Spinello, R Triebel, R Siegwart
The International Journal of Robotics Research 29 (12), 1498-1515, 2010
1952010
A layered approach to people detection in 3d range data
L Spinello, K Arras, R Triebel, R Siegwart
Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 1625-1630, 2010
1832010
Toward Automated Driving in Cities using Close-to-Market Sensors
P Furgale, U Schwesinger, M Rufli, W Derendarz, R Siegwart
Proc. of IEEE Intelligent Vehicles Symposium, 2013
172*2013
Monte carlo localization in outdoor terrains using multilevel surface maps
R Kümmerle, R Triebel, P Pfaff, W Burgard
Journal of Field Robotics 25 (6‐7), 346-359, 2008
1442008
Captcha recognition with active deep learning
F Stark, C Hazırbas, R Triebel, D Cremers
Workshop new challenges in neural computation 2015, 94, 2015
1422015
Augmented autoencoders: Implicit 3d orientation learning for 6d object detection
M Sundermeyer, ZC Marton, M Durner, R Triebel
International Journal of Computer Vision 128 (3), 714-729, 2020
1272020
Learning to drive using inverse reinforcement learning and deep q-networks
S Sharifzadeh, I Chiotellis, R Triebel, D Cremers
arXiv preprint arXiv:1612.03653, 2016
1192016
Robust 3D scan point classification using associative Markov networks
R Triebel, K Kersting, W Burgard
Proceedings 2006 IEEE International Conference on Robotics and Automation …, 2006
1102006
Multi-path learning for object pose estimation across domains
M Sundermeyer, M Durner, EY Puang, ZC Marton, N Vaskevicius, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1052020
Non-parametric calibration for classification
J Wenger, H Kjellström, R Triebel
International Conference on Artificial Intelligence and Statistics, 178-190, 2020
972020
The ARCHES space-analogue demonstration mission: Towards heterogeneous teams of autonomous robots for collaborative scientific sampling in planetary exploration
MJ Schuster, MG Müller, SG Brunner, H Lehner, P Lehner, R Sakagami, ...
IEEE Robotics and Automation Letters 5 (4), 5315-5322, 2020
872020
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