Alert button
Picture for Wolfram Burgard

Wolfram Burgard

Alert button

Learning Object Placements For Relational Instructions by Hallucinating Scene Representations

Jan 23, 2020
Oier Mees, Alp Emek, Johan Vertens, Wolfram Burgard

Figure 1 for Learning Object Placements For Relational Instructions by Hallucinating Scene Representations
Figure 2 for Learning Object Placements For Relational Instructions by Hallucinating Scene Representations
Figure 3 for Learning Object Placements For Relational Instructions by Hallucinating Scene Representations
Figure 4 for Learning Object Placements For Relational Instructions by Hallucinating Scene Representations
Viaarxiv icon

Self-Supervised Visual Terrain Classification from Unsupervised Acoustic Feature Learning

Dec 06, 2019
Jannik Zürn, Wolfram Burgard, Abhinav Valada

Figure 1 for Self-Supervised Visual Terrain Classification from Unsupervised Acoustic Feature Learning
Figure 2 for Self-Supervised Visual Terrain Classification from Unsupervised Acoustic Feature Learning
Figure 3 for Self-Supervised Visual Terrain Classification from Unsupervised Acoustic Feature Learning
Figure 4 for Self-Supervised Visual Terrain Classification from Unsupervised Acoustic Feature Learning
Viaarxiv icon

Building an Aerial-Ground Robotics System for Precision Farming

Nov 08, 2019
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 Popović, Ciro Potena, Cédric Pradalier, Elisa Rothacker-Feder, Inkyu Sa, Alexander Schaefer, Roland Siegwart, Cyrill Stachniss, Achim Walter, Wera Winterhalter, Xiaolong Wu, Juan Nieto

Figure 1 for Building an Aerial-Ground Robotics System for Precision Farming
Figure 2 for Building an Aerial-Ground Robotics System for Precision Farming
Figure 3 for Building an Aerial-Ground Robotics System for Precision Farming
Figure 4 for Building an Aerial-Ground Robotics System for Precision Farming
Viaarxiv icon

Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control

Oct 31, 2019
Lukas Hermann, Max Argus, Andreas Eitel, Artemij Amiranashvili, Wolfram Burgard, Thomas Brox

Figure 1 for Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control
Figure 2 for Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control
Figure 3 for Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control
Figure 4 for Adaptive Curriculum Generation from Demonstrations for Sim-to-Real Visuomotor Control
Viaarxiv icon

Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans

Oct 23, 2019
Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft, Wolfram Burgard

Figure 1 for Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans
Figure 2 for Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans
Figure 3 for Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans
Figure 4 for Long-Term Urban Vehicle Localization Using Pole Landmarks Extracted from 3-D Lidar Scans
Viaarxiv icon

A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans

Oct 23, 2019
Alexander Schaefer, Johan Vertens, Daniel Büscher, Wolfram Burgard

Figure 1 for A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans
Figure 2 for A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans
Figure 3 for A Maximum Likelihood Approach to Extract Finite Planes from 3-D Laser Scans
Viaarxiv icon

A Maximum Likelihood Approach to Extract Polylines from 2-D Laser Range Scans

Oct 23, 2019
Alexander Schaefer, Daniel Büscher, Lukas Luft, Wolfram Burgard

Figure 1 for A Maximum Likelihood Approach to Extract Polylines from 2-D Laser Range Scans
Figure 2 for A Maximum Likelihood Approach to Extract Polylines from 2-D Laser Range Scans
Figure 3 for A Maximum Likelihood Approach to Extract Polylines from 2-D Laser Range Scans
Figure 4 for A Maximum Likelihood Approach to Extract Polylines from 2-D Laser Range Scans
Viaarxiv icon

DCT Maps: Compact Differentiable Lidar Maps Based on the Cosine Transform

Oct 23, 2019
Alexander Schaefer, Lukas Luft, Wolfram Burgard

Figure 1 for DCT Maps: Compact Differentiable Lidar Maps Based on the Cosine Transform
Figure 2 for DCT Maps: Compact Differentiable Lidar Maps Based on the Cosine Transform
Figure 3 for DCT Maps: Compact Differentiable Lidar Maps Based on the Cosine Transform
Figure 4 for DCT Maps: Compact Differentiable Lidar Maps Based on the Cosine Transform
Viaarxiv icon

Closed-Form Full Map Posteriors for Robot Localization with Lidar Sensors

Oct 23, 2019
Lukas Luft, Alexander Schaefer, Tobias Schubert, Wolfram Burgard

Figure 1 for Closed-Form Full Map Posteriors for Robot Localization with Lidar Sensors
Figure 2 for Closed-Form Full Map Posteriors for Robot Localization with Lidar Sensors
Figure 3 for Closed-Form Full Map Posteriors for Robot Localization with Lidar Sensors
Figure 4 for Closed-Form Full Map Posteriors for Robot Localization with Lidar Sensors
Viaarxiv icon

An Analytical Lidar Sensor Model Based on Ray Path Information

Oct 23, 2019
Alexander Schaefer, Lukas Luft, Wolfram Burgard

Figure 1 for An Analytical Lidar Sensor Model Based on Ray Path Information
Figure 2 for An Analytical Lidar Sensor Model Based on Ray Path Information
Figure 3 for An Analytical Lidar Sensor Model Based on Ray Path Information
Figure 4 for An Analytical Lidar Sensor Model Based on Ray Path Information
Viaarxiv icon