Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDWolfram Burgard
Person information
- affiliation: University of Freiburg, Germany
- award (2009): Gottfried Wilhelm Leibniz Prize
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2021
[j126]Wera Winterhalter, Freya Fleckenstein, Christian Dornhege, Wolfram Burgard:
Localization for precision navigation in agricultural fields - Beyond crop row following. J. Field Robotics 38(3): 429-451 (2021)- [j125]Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, Wolfram Burgard:
Long-term vehicle localization in urban environments based on pole landmarks extracted from 3-D lidar scans. Robotics Auton. Syst. 136: 103709 (2021) - [j124]Jannik Zürn
, Wolfram Burgard, Abhinav Valada:
Self-Supervised Visual Terrain Classification From Unsupervised Acoustic Feature Learning. IEEE Trans. Robotics 37(2): 466-481 (2021) - [i84]Kshitij Sirohi, Rohit Mohan, Daniel Büscher, Wolfram Burgard, Abhinav Valada:
EfficientLPS: Efficient LiDAR Panoptic Segmentation. CoRR abs/2102.08009 (2021) - [i83]Oier Mees, Wolfram Burgard:
Composing Pick-and-Place Tasks By Grounding Language. CoRR abs/2102.08094 (2021) - [i82]Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon:
Learning to Track with Object Permanence. CoRR abs/2103.14258 (2021) - [i81]Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon:
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. CoRR abs/2103.16690 (2021) - [i80]Artemij Amiranashvili, Max Argus, Lukás Hermann, Wolfram Burgard, Thomas Brox:
Pre-training of Deep RL Agents for Improved Learning under Domain Randomization. CoRR abs/2104.14386 (2021) - [i79]Jannik Zürn, Johan Vertens, Wolfram Burgard:
Lane Graph Estimation for Scene Understanding in Urban Driving. CoRR abs/2105.00195 (2021) - 2020
- [j123]Henrich Kolkhorst, Joseline Veit, Wolfram Burgard, Michael Tangermann:
A Robust Screen-Free Brain-Computer Interface for Robotic Object Selection. Frontiers Robotics AI 7: 38 (2020) - [j122]Abhinav Valada, Rohit Mohan, Wolfram Burgard:
Self-Supervised Model Adaptation for Multimodal Semantic Segmentation. Int. J. Comput. Vis. 128(5): 1239-1285 (2020) - [j121]Lukas Enderich, Fabian Timm, Wolfram Burgard:
SYMOG: Learning symmetric mixture of Gaussian modes for improved fixed-point quantization. Neurocomputing 416: 310-315 (2020) - [j120]Noha Radwan, Wolfram Burgard, Abhinav Valada:
Multimodal interaction-aware motion prediction for autonomous street crossing. Int. J. Robotics Res. 39(13) (2020) - [c374]Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon:
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. 3DV 2020: 1-11 - [c373]Barbara Barros Carlos, Tommaso Sartor, Andrea Zanelli, Gianluca Frison, Wolfram Burgard, Moritz Diehl, Giuseppe Oriolo:
An Efficient Real-Time NMPC for Quadrotor Position Control under Communication Time-Delay. ICARCV 2020: 982-989 - [c372]Oier Mees, Alp Emek, Johan Vertens, Wolfram Burgard:
Learning Object Placements For Relational Instructions by Hallucinating Scene Representations. ICRA 2020: 94-100 - [c371]David Pannen, Martin Liebner, Wolfgang Hempel, Wolfram Burgard:
How to Keep HD Maps for Automated Driving Up To Date. ICRA 2020: 2288-2294 - [c370]Ayush Dewan, Wolfram Burgard:
DeepTemporalSeg: Temporally Consistent Semantic Segmentation of 3D LiDAR Scans. ICRA 2020: 2624-2630 - [c369]Tim Caselitz, Michael Krawez, Jugesh Sundram, Mark Van Loock, Wolfram Burgard:
Camera Tracking in Lighting Adaptable Maps of Indoor Environments. ICRA 2020: 3334-3340 - [c368]Oier Mees, Markus Merklinger, Gabriel Kalweit, Wolfram Burgard:
Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video. ICRA 2020: 4188-4194 - [c367]Lukás Hermann, Max Argus, Andreas Eitel, Artemij Amiranashvili, Wolfram Burgard, Thomas Brox:
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control. ICRA 2020: 6498-6505 - [c366]Marina Kollmitz, Daniel Büscher, Wolfram Burgard:
Predicting Obstacle Footprints from 2D Occupancy Maps by Learning from Physical Interactions. ICRA 2020: 10256-10262 - [c365]Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard:
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving. IROS 2020: 2007-2013 - [c364]Iman Nematollahi, Oier Mees, Lukás Hermann, Wolfram Burgard:
Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction. IROS 2020: 5319-5326 - [c363]Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard:
Driving Through Ghosts: Behavioral Cloning with False Positives. IROS 2020: 5431-5437 - [c362]Shengchao Yan, Jingwei Zhang, Daniel Büscher, Wolfram Burgard:
Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning. IROS 2020: 5526-5533 - [c361]Johannes Meyer, Andreas Eitel, Thomas Brox, Wolfram Burgard:
Improving Unimodal Object Recognition with Multimodal Contrastive Learning. IROS 2020: 5656-5663 - [c360]Johan Vertens, Jannik Zürn, Wolfram Burgard:
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images. IROS 2020: 8461-8468 - [c359]Nicolai Dorka, Johannes Meyer, Wolfram Burgard:
Modality-Buffet for Real-Time Object Detection. IROS 2020: 10543-10549 - [c358]Marina Kollmitz, Torsten Koller, Joschka Boedecker, Wolfram Burgard:
Learning Human-Aware Robot Navigation from Physical Interaction via Inverse Reinforcement Learning. IROS 2020: 11025-11031 - [c357]Cristina Menendez-Romero, Franz Winkler, Christian Dornhege, Wolfram Burgard:
Maneuver Planning and Learning: a Lane Selection Approach for Highly Automated Vehicles in Highway Scenarios. ITSC 2020: 1-7 - [i78]Oier Mees, Alp Emek, Johan Vertens, Wolfram Burgard:
Learning Object Placements For Relational Instructions by Hallucinating Scene Representations. CoRR abs/2001.08481 (2020) - [i77]Lukas Enderich, Fabian Timm, Wolfram Burgard:
SYMOG: learning symmetric mixture of Gaussian modes for improved fixed-point quantization. CoRR abs/2002.08204 (2020) - [i76]Shengchao Yan, Jingwei Zhang, Daniel Büscher, Wolfram Burgard:
Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning. CoRR abs/2003.04046 (2020) - [i75]Johan Vertens, Jannik Zürn, Wolfram Burgard:
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images. CoRR abs/2003.04645 (2020) - [i74]Andreas Eitel, Nico Hauff, Wolfram Burgard:
Self-supervised Transfer Learning for Instance Segmentation through Physical Interaction. CoRR abs/2005.09484 (2020) - [i73]Artemij Amiranashvili, Nicolai Dorka, Wolfram Burgard, Vladlen Koltun, Thomas Brox:
Scaling Imitation Learning in Minecraft. CoRR abs/2007.02701 (2020) - [i72]Gabriel L. Oliveira, Senthil Kumar Yogamani, Wolfram Burgard, Thomas Brox:
Beyond Single Stage Encoder-Decoder Networks: Deep Decoders for Semantic Image Segmentation. CoRR abs/2007.09746 (2020) - [i71]Iman Nematollahi, Oier Mees, Lukás Hermann, Wolfram Burgard:
Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction. CoRR abs/2008.00456 (2020) - [i70]Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard:
PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving. CoRR abs/2008.01179 (2020) - [i69]Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon:
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. CoRR abs/2008.06630 (2020) - [i68]Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard:
Driving Through Ghosts: Behavioral Cloning with False Positives. CoRR abs/2008.12969 (2020) - [i67]Lukas Enderich, Fabian Timm, Wolfram Burgard:
Holistic Filter Pruning for Efficient Deep Neural Networks. CoRR abs/2009.08169 (2020) - [i66]Barbara Barros Carlos, Tommaso Sartor, Andrea Zanelli, Gianluca Frison, Wolfram Burgard, Moritz Diehl, Giuseppe Oriolo:
An Efficient Real-Time NMPC for Quadrotor Position Control under Communication Time-Delay. CoRR abs/2010.11264 (2020) - [i65]Nicolai Dorka, Johannes Meyer, Wolfram Burgard:
Modality-Buffet for Real-Time Object Detection. CoRR abs/2011.08726 (2020)
2010 – 2019
- 2019
- [j119]Malte Schilling, Wolfram Burgard, Katharina Muelling, Britta Wrede, Helge J. Ritter:
Editorial: Shared Autonomy - Learning of Joint Action and Human-Robot Collaboration. Frontiers Neurorobotics 13: 16 (2019) - [j118]Lukas Dominique Josef Fiederer, Martin Völker, Robin Tibor Schirrmeister, Wolfram Burgard, Joschka Boedecker, Tonio Ball:
Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings With Deep Regression. Frontiers Neurorobotics 13: 76 (2019) - [j117]Jingwei Zhang, Lei Tai, Peng Yun, Yufeng Xiong, Ming Liu, Joschka Boedecker, Wolfram Burgard:
VR-Goggles for Robots: Real-to-Sim Domain Adaptation for Visual Control. IEEE Robotics Autom. Lett. 4(2): 1148-1155 (2019) - [j116]Lukas Luft, Federico Boniardi, Alexander Schaefer, Daniel Büscher, Wolfram Burgard:
On the Bayes Filter for Shared Autonomy. IEEE Robotics Autom. Lett. 4(4): 3286-3293 (2019) - [j115]Wolfram Burgard:
Diversity, Inclusiveness, and Respect [President's Message]. IEEE Robotics Autom. Mag. 26(1): 6 (2019) - [j114]Wolfram Burgard:
25th Anniversary of IEEE Robotics and Automation Magazine: From a Small Seed to a Great Plant [President's Message]. IEEE Robotics Autom. Mag. 26(2): 6 (2019) - [j113]Wolfram Burgard:
Open Access: How Best to Prepare to Master This Challenge [President's Message]. IEEE Robotics Autom. Mag. 26(3): 6 (2019) - [j112]Wolfram Burgard:
Today's Youth Are Our Future Leaders [President's Message]. IEEE Robotics Autom. Mag. 26(4): 6-130 (2019) - [j111]Federico Boniardi, Tim Caselitz, Rainer Kümmerle, Wolfram Burgard:
A pose graph-based localization system for long-term navigation in CAD floor plans. Robotics Auton. Syst. 112: 84-97 (2019) - [j110]Marina Kollmitz, Andreas Eitel, Andres Vasquez, Wolfram Burgard:
Deep 3D perception of people and their mobility aids. Robotics Auton. Syst. 114: 29-40 (2019) - [j109]Daniel Kuhner, Lukas Dominique Josef Fiederer, Johannes Aldinger, Felix Burget, Martin Völker, Robin Tibor Schirrmeister, Chau Do, Joschka Boedecker, Bernhard Nebel, Tonio Ball, Wolfram Burgard:
A service assistant combining autonomous robotics, flexible goal formulation, and deep-learning-based brain-computer interfacing. Robotics Auton. Syst. 116: 98-113 (2019) - [c356]Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, Wolfram Burgard:
Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans. ECMR 2019: 1-7 - [c355]Henrich Kolkhorst, Saku Kärkkäinen, Amund Faller Raheim, Wolfram Burgard, Michael Tangermann:
Influence of User Tasks on EEG-based Classification Performance in a Hazard Detection Paradigm. EMBC 2019: 6758-6761 - [c354]Lukas Enderich, Fabian Timm, Lars Rosenbaum, Wolfram Burgard:
Learning multimodal fixed-point weights using gradient descent. ESANN 2019 - [c353]Henrich Kolkhorst, Joseline Veit, Wolfram Burgard, Michael Tangermann:
Heterogeneity of Event-Related Potentials in a Screen-free Brain-Computer Interface. GBCIC 2019 - [c352]Alexander Schaefer, Johan Vertens, Daniel Büscher, Wolfram Burgard:
A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans. ICRA 2019: 72-78 - [c351]Philipp S. Schmitt, Florian Wirnshofer, Kai M. Wurm, Georg von Wichert, Wolfram Burgard:
Modeling and Planning Manipulation in Dynamic Environments. ICRA 2019: 176-182 - [c350]David Pannen, Martin Liebner, Wolfram Burgard:
HD Map Change Detection with a Boosted Particle Filter. ICRA 2019: 2561-2567 - [c349]Florian Wirnshofer, Philipp S. Schmitt, Philine Meister, Georg von Wichert, Wolfram Burgard:
State Estimation in Contact-Rich Manipulation. ICRA 2019: 3790-3796 - [c348]Iman Nematollahi, Daniel Kuhner, Tim Welschehold, Wolfram Burgard:
Augmenting Action Model Learning by Non-Geometric Features. ICRA 2019: 7769-7775 - [c347]Philipp S. Schmitt, Florian Wirnshofer, Kai M. Wurm, Georg von Wichert, Wolfram Burgard:
Planning Reactive Manipulation in Dynamic Environments. IROS 2019: 136-143 - [c346]Andreas Eitel, Nico Hauff, Wolfram Burgard:
Self-supervised Transfer Learning for Instance Segmentation through Physical Interaction. IROS 2019: 4020-4026 - [c345]Tim Welschehold, Nichola Abdo, Christian Dornhege, Wolfram Burgard:
Combined Task and Action Learning from Human Demonstrations for Mobile Manipulation Applications. IROS 2019: 4317-4324 - [c344]Federico Boniardi, Abhinav Valada, Rohit Mohan, Tim Caselitz, Wolfram Burgard:
Robot Localization in Floor Plans Using a Room Layout Edge Extraction Network. IROS 2019: 5291-5297 - [c343]Florian Wirnshofer, Philipp S. Schmitt, Philine Meister, Georg von Wichert, Wolfram Burgard:
Robust, Compliant Assembly with Elastic Parts and Model Uncertainty. IROS 2019: 6044-6051 - [c342]Oier Mees, Maxim Tatarchenko, Thomas Brox, Wolfram Burgard:
Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics. IROS 2019: 6083-6089 - [c341]David Pannen, Martin Liebner, Wolfram Burgard:
Lane Marking Learning based on Crowdsourced Data. IROS 2019: 7040-7046 - [c340]Daniele Cattaneo, Matteo Vaghi, Augusto Luis Ballardini, Simone Fontana, Domenico G. Sorrenti, Wolfram Burgard:
CMRNet: Camera to LiDAR-Map Registration. ITSC 2019: 1283-1289 - [i64]Federico Boniardi, Abhinav Valada, Rohit Mohan, Tim Caselitz, Wolfram Burgard:
Robot Localization in Floor Plans Using a Room Layout Edge Extraction Network. CoRR abs/1903.01804 (2019) - [i63]Jingwei Zhang, Niklas Wetzel, Nicolai Dorka, Joschka Boedecker, Wolfram Burgard:
Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration. CoRR abs/1903.07400 (2019) - [i62]Mayank Mittal, Rohit Mohan, Wolfram Burgard, Abhinav Valada:
Vision-Based Autonomous UAV Navigation and Landing for Urban Search and Rescue. CoRR abs/1906.01304 (2019) - [i61]Ayush Dewan, Wolfram Burgard:
DeepTemporalSeg: Temporally Consistent Semantic Segmentation of 3D LiDAR Scans. CoRR abs/1906.06962 (2019) - [i60]Daniele Cattaneo, Matteo Vaghi, Augusto Luis Ballardini, Simone Fontana, Domenico Giorgio Sorrenti, Wolfram Burgard:
CMRNet: Camera to LiDAR-Map Registration. CoRR abs/1906.10109 (2019) - [i59]Lukas Enderich, Fabian Timm, Lars Rosenbaum, Wolfram Burgard:
Learning Multimodal Fixed-Point Weights using Gradient Descent. CoRR abs/1907.07220 (2019) - [i58]Tim Welschehold, Nichola Abdo, Christian Dornhege, Wolfram Burgard:
Combined Task and Action Learning from Human Demonstrations for Mobile Manipulation Applications. CoRR abs/1908.10184 (2019) - [i57]Henrich Kolkhorst, Wolfram Burgard, Michael Tangermann:
Learning User Preferences for Trajectories from Brain Signals. CoRR abs/1909.01039 (2019) - [i56]Oier Mees, Maxim Tatarchenko, Thomas Brox, Wolfram Burgard:
Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics. CoRR abs/1910.07948 (2019) - [i55]Lukás Hermann, Max Argus, Andreas Eitel, Artemij Amiranashvili, Wolfram Burgard, Thomas Brox:
Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control. CoRR abs/1910.07972 (2019) - [i54]Oier Mees, Markus Merklinger, Gabriel Kalweit, Wolfram Burgard:
Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video. CoRR abs/1910.09430 (2019) - [i53]Alexander Schaefer, Lukas Luft, Wolfram Burgard:
An Analytical Lidar Sensor Model Based on Ray Path Information. CoRR abs/1910.10469 (2019) - [i52]Lukas Luft, Alexander Schaefer, Tobias Schubert, Wolfram Burgard:
Closed-Form Full Map Posteriors for Robot Localization with Lidar Sensors. CoRR abs/1910.10493 (2019) - [i51]Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, Wolfram Burgard:
Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans. CoRR abs/1910.10550 (2019) - [i50]Alexander Schaefer, Daniel Büscher, Lukas Luft, Wolfram Burgard:
A Maximum Likelihood Approach to Extract Polylines from 2-D Laser Range Scans. CoRR abs/1910.10711 (2019) - [i49]Alexander Schaefer, Johan Vertens, Daniel Büscher, Wolfram Burgard:
A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans. CoRR abs/1910.11146 (2019) - [i48]Alexander Schaefer, Lukas Luft, Wolfram Burgard:
DCT Maps: Compact Differentiable Lidar Maps Based on the Cosine Transform. CoRR abs/1910.11147 (2019) - [i47]Alberto Pretto, Stéphanie Aravecchia, Wolfram Burgard, Nived Chebrolu, Christian Dornhege, Tillmann Falck, Freya Fleckenstein, Alessandra Fontenla, Marco Imperoli, Raghav Khanna, Frank Liebisch, Philipp Lottes, Andres Milioto, Daniele Nardi, Sandro Nardi, Johannes Pfeifer, Marija Popovic, Ciro Potena, Cédric Pradalier, Elisa Rothacker-Feder, Inkyu Sa, Alexander Schaefer, Roland Siegwart, Cyrill Stachniss, Achim Walter, Wera Winterhalter, Xiaolong Wu, Juan I. Nieto:
Building an Aerial-Ground Robotics System for Precision Farming. CoRR abs/1911.03098 (2019) - [i46]Jannik Zürn, Wolfram Burgard, Abhinav Valada:
Self-Supervised Visual Terrain Classification from Unsupervised Acoustic Feature Learning. CoRR abs/1912.03227 (2019) - 2018
- [j108]Christoph Stiller, Wolfram Burgard, Barbara Deml, Lutz Eckstein, Frank Flemisch:
Kooperativ interagierende Automobile. Autom. 66(2): 81-99 (2018) - [j107]Annett Stelzer, Mallikarjuna Vayugundla, Elmar Mair, Michael Suppa, Wolfram Burgard:
Towards efficient and scalable visual homing. Int. J. Robotics Res. 37(2-3): 225-248 (2018) - [j106]Niko Sünderhauf, Oliver Brock, Walter J. Scheirer, Raia Hadsell, Dieter Fox, Jürgen Leitner, Ben Upcroft, Pieter Abbeel, Wolfram Burgard, Michael Milford, Peter Corke:
The limits and potentials of deep learning for robotics. Int. J. Robotics Res. 37(4-5): 405-420 (2018) - [j105]Gabriel L. Oliveira, Claas Bollen, Wolfram Burgard, Thomas Brox:
Efficient and robust deep networks for semantic segmentation. Int. J. Robotics Res. 37(4-5): 472-491 (2018) - [j104]Lukas Luft, Tobias Schubert, Stergios I. Roumeliotis, Wolfram Burgard:
Recursive decentralized localization for multi-robot systems with asynchronous pairwise communication. Int. J. Robotics Res. 37(10) (2018) - [j103]Martin Völker, Lukas Dominique Josef Fiederer, Sofie Berberich, Jirí Hammer, Joos Behncke, Pavel Krsek, Martin Tomásek, Petr Marusic, Peter C. Reinacher, Volker A. Coenen, Moritz Helias, Andreas Schulze-Bonhage, Wolfram Burgard, Tonio Ball:
The dynamics of error processing in the human brain as reflected by high-gamma activity in noninvasive and intracranial EEG. NeuroImage 173: 564-579 (2018) - [j102]Alexander Schaefer, Lukas Luft, Wolfram Burgard:
DCT Maps: Compact Differentiable Lidar Maps Based on the Cosine Transform. IEEE Robotics Autom. Lett. 3(2): 1002-1009 (2018) - [j101]Lukas Luft, Alexander Schaefer, Tobias Schubert, Wolfram Burgard:
Detecting Changes in the Environment Based on Full Posterior Distributions Over Real-Valued Grid Maps. IEEE Robotics Autom. Lett. 3(2): 1299-1305 (2018) - [j100]Wera Winterhalter, Freya Fleckenstein, Christian Dornhege, Wolfram Burgard:
Crop Row Detection on Tiny Plants With the Pattern Hough Transform. IEEE Robotics Autom. Lett. 3(4): 3394-3401 (2018) - [j99]Noha Radwan, Abhinav Valada, Wolfram Burgard:
VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry. IEEE Robotics Autom. Lett. 3(4): 4407-4414 (2018) - [j98]Wolfram Burgard:
New Challenges for the IEEE Robotics and Automation Society [President's Message]. IEEE Robotics Autom. Mag. 25(2): 6 (2018) - [j97]Wolfram Burgard:
The IEEE Robotics and Automation Society Is Working Well Even in Difficult Times [President's Message]. IEEE Robotics Autom. Mag. 25(3): 6 (2018) - [j96]Wolfram Burgard:
A Great New RAS Team Taking the Next Step in Exciting Times [Presdident's Message]. IEEE Robotics Autom. Mag. 25(4): 6-8 (2018) - [j95]Tayyab Naseer, Wolfram Burgard, Cyrill Stachniss:
Robust Visual Localization Across Seasons. IEEE Trans. Robotics 34(2): 289-302 (2018) - [c339]Chau Do, Wolfram Burgard:
Accurate Pouring with an Autonomous Robot Using an RGB-D Camera. IAS 2018: 210-221 - [c338]Philipp Jund, Andreas Eitel, Nichola Abdo, Wolfram Burgard:
Optimization Beyond the Convolution: Generalizing Spatial Relations with End-to-End Metric Learning. ICRA 2018: 1-7 - [c337]Marina Kollmitz, Daniel Büscher, Tobias Schubert, Wolfram Burgard:
Whole-Body Sensory Concept for Compliant Mobile Robots. ICRA 2018: 1-5 - [c336]Florian Wirnshofer, Philipp S. Schmitt, Wendelin Feiten, Georg von Wichert, Wolfram Burgard:
Robust, Compliant Assembly via Optimal Belief Space Planning. ICRA 2018: 1-5 - [c335]Lei Tai, Jingwei Zhang, Ming Liu, Wolfram Burgard:
Socially Compliant Navigation Through Raw Depth Inputs with Generative Adversarial Imitation Learning. ICRA 2018: 1111-1117 - [c334]Christian Zimmermann, Tim Welschehold, Christian Dornhege, Wolfram Burgard, Thomas Brox:
3D Human Pose Estimation in RGBD Images for Robotic Task Learning. ICRA 2018: 1986-1992 - [c333]Gabriel L. Oliveira, Wolfram Burgard, Thomas Brox:
DPDB-Net: Exploiting Dense Connections for Convolutional Encoders. ICRA 2018: 4525-4531 - [c332]Philipp Ruchti, Wolfram Burgard:
Mapping with Dynamic-Object Probabilities Calculated from Single 3D Range Scans. ICRA 2018: 6331-6336 - [c331]Abhinav Valada, Noha Radwan, Wolfram Burgard:
Deep Auxiliary Learning for Visual Localization and Odometry. ICRA 2018: 6939-6946 - [c330]Tim Welschehold, Christian Dornhege, Fabian Paus, Tamim Asfour, Wolfram Burgard:
Coupling Mobile Base and End-Effector Motion in Task Space. IROS 2018: 1-9 - [c329]Daniel Kuhner, Johannes Aldinger, Felix Burget, Moritz Göbelbecker, Wolfram Burgard, Bernhard Nebel:
Closed-Loop Robot Task Planning Based on Referring Expressions. IROS 2018: 876-881 - [c328]Chau Do, Camilo Gordillo, Wolfram Burgard:
Learning to Pour using Deep Deterministic Policy Gradients. IROS 2018: 3074-3079 - [c327]Michael Krawez, Tim Caselitz, Daniel Büscher, Mark Van Loock, Wolfram Burgard:
Building Dense Reflectance Maps of Indoor Environments Using an RGB-D Camera. IROS 2018: 3210-3217 - [c326]Alexander Schaefer, Daniel Büscher, Lukas Luft, Wolfram Burgard:
A Maximum Likelihood Approach to Extract Polylines from 2-D Laser Range Scans. IROS 2018: 4766-4773 - [c325]Ayush Dewan, Tim Caselitz, Wolfram Burgard:
Learning a Local Feature Descriptor for 3D LiDAR Scans. IROS 2018: 4774-4780 - [c324]