Wolfram Burgard

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University of Freiburg

Professor at University of Freiburg

Courteous Behavior of Automated Vehicles at Unsignalized Intersections via Reinforcement Learning

The transition from today's mostly human-driven traffic to a purely auto...
06/11/2021 ∙ by Shengchao Yan, et al. ∙ 0 ∙ share

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Lane Graph Estimation for Scene Understanding in Urban Driving

Lane-level scene annotations provide invaluable data in autonomous vehic...
05/01/2021 ∙ by Jannik Zürn, et al. ∙ 5 ∙ share

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Pre-training of Deep RL Agents for Improved Learning under Domain Randomization

Visual domain randomization in simulated environments is a widely used m...
04/29/2021 ∙ by Artemij Amiranashvili, et al. ∙ 15 ∙ share

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Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion

Estimating scene geometry from data obtained with cost-effective sensors...
03/30/2021 ∙ by Vitor Guizilini, et al. ∙ 7 ∙ share

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Learning to Track with Object Permanence

Tracking by detection, the dominant approach for online multi-object tra...
03/26/2021 ∙ by Pavel Tokmakov, et al. ∙ 7 ∙ share

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Composing Pick-and-Place Tasks By Grounding Language

Controlling robots to perform tasks via natural language is one of the m...
02/16/2021 ∙ by Oier Mees, et al. ∙ 12 ∙ share

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EfficientLPS: Efficient LiDAR Panoptic Segmentation

Panoptic segmentation of point clouds is a crucial task that enables aut...
02/16/2021 ∙ by Kshitij Sirohi, et al. ∙ 31 ∙ share

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Modality-Buffet for Real-Time Object Detection

Real-time object detection in videos using lightweight hardware is a cru...
11/17/2020 ∙ by Nicolai Dorka, et al. ∙ 9 ∙ share

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An Efficient Real-Time NMPC for Quadrotor Position Control under Communication Time-Delay

The advances in computer processor technology have enabled the applicati...
10/21/2020 ∙ by Barbara Barros Carlos, et al. ∙ 0 ∙ share

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Holistic Filter Pruning for Efficient Deep Neural Networks

Deep neural networks (DNNs) are usually over-parameterized to increase t...
09/17/2020 ∙ by Lukas Enderich, et al. ∙ 53 ∙ share

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Driving Through Ghosts: Behavioral Cloning with False Positives

Safe autonomous driving requires robust detection of other traffic parti...
08/29/2020 ∙ by Andreas Bühler, et al. ∙ 11 ∙ share

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Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion

Self-supervised learning has emerged as a powerful tool for depth and eg...
08/15/2020 ∙ by Igor Vasiljevic, et al. ∙ 15 ∙ share

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PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving

In autonomous driving, accurately estimating the state of surrounding ob...
08/03/2020 ∙ by Kuan-Hui Lee, et al. ∙ 4 ∙ share

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Hindsight for Foresight: Unsupervised Structured Dynamics Models from Physical Interaction

A key challenge for an agent learning to interact with the world is to r...
08/02/2020 ∙ by Iman Nematollahi, et al. ∙ 6 ∙ share

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Beyond Single Stage Encoder-Decoder Networks: Deep Decoders for Semantic Image Segmentation

Single encoder-decoder methodologies for semantic segmentation are reach...
07/19/2020 ∙ by Gabriel L. Oliveira, et al. ∙ 21 ∙ share

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Scaling Imitation Learning in Minecraft

Imitation learning is a powerful family of techniques for learning senso...
07/06/2020 ∙ by Artemij Amiranashvili, et al. ∙ 3 ∙ share

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Self-supervised Transfer Learning for Instance Segmentation through Physical Interaction

Instance segmentation of unknown objects from images is regarded as rele...
05/19/2020 ∙ by Andreas Eitel, et al. ∙ 15 ∙ share

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HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images

The majority of learning-based semantic segmentation methods are optimiz...
03/10/2020 ∙ by Johan Vertens, et al. ∙ 16 ∙ share

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Efficiency and Equity are Both Essential: A Generalized Traffic Signal Controller with Deep Reinforcement Learning

Traffic signal controllers play an essential role in the traffic system,...
03/09/2020 ∙ by Shengchao Yan, et al. ∙ 14 ∙ share

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SYMOG: learning symmetric mixture of Gaussian modes for improved fixed-point quantization

Deep neural networks (DNNs) have been proven to outperform classical met...
02/19/2020 ∙ by Lukas Enderich, et al. ∙ 9 ∙ share

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Learning Object Placements For Relational Instructions by Hallucinating Scene Representations

Robots coexisting with humans in their environment and performing servic...
01/23/2020 ∙ by Oier Mees, et al. ∙ 7 ∙ share

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Self-Supervised Visual Terrain Classification from Unsupervised Acoustic Feature Learning

Mobile robots operating in unknown urban environments encounter a wide r...
12/06/2019 ∙ by Jannik Zürn, et al. ∙ 9 ∙ share

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Building an Aerial-Ground Robotics System for Precision Farming

The application of autonomous robots in agriculture is gaining more and ...
11/08/2019 ∙ by Alberto Pretto, et al. ∙ 0 ∙ share

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

Due to their ubiquity and long-term stability, pole-like objects are wel...
10/23/2019 ∙ by Alexander Schaefer, et al. ∙ 10 ∙ share

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

Whether it is object detection, model reconstruction, laser odometry, or...
10/23/2019 ∙ by Alexander Schaefer, et al. ∙ 13 ∙ share

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

Man-made environments such as households, offices, or factory floors are...
10/23/2019 ∙ by Alexander Schaefer, et al. ∙ 0 ∙ share

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

Most robot mapping techniques for lidar sensors tessellate the environme...
10/23/2019 ∙ by Alexander Schaefer, et al. ∙ 11 ∙ share

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

A popular class of lidar-based grid mapping algorithms computes for each...
10/23/2019 ∙ by Lukas Luft, et al. ∙ 0 ∙ share

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An Analytical Lidar Sensor Model Based on Ray Path Information

Two core competencies of a mobile robot are to build a map of the enviro...
10/23/2019 ∙ by Alexander Schaefer, et al. ∙ 15 ∙ share

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Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video

Key challenges for the deployment of reinforcement learning (RL) agents ...
10/21/2019 ∙ by Oier Mees, et al. ∙ 23 ∙ share

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

We propose Adaptive Curriculum Generation from Demonstrations (ACGD) for...
10/17/2019 ∙ by Lukas Hermann, et al. ∙ 22 ∙ share

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Self-supervised 3D Shape and Viewpoint Estimation from Single Images for Robotics

We present a convolutional neural network for joint 3D shape prediction ...
10/17/2019 ∙ by Oier Mees, et al. ∙ 27 ∙ share

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Learning User Preferences for Trajectories from Brain Signals

Robot motions in the presence of humans should not only be feasible and ...
09/03/2019 ∙ by Henrich Kolkhorst, et al. ∙ 12 ∙ share

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Combined Task and Action Learning from Human Demonstrations for Mobile Manipulation Applications

Learning from demonstrations is a promising paradigm for transferring kn...
08/25/2019 ∙ by Tim Welschehold, et al. ∙ 0 ∙ share

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Learning Multimodal Fixed-Point Weights using Gradient Descent

Due to their high computational complexity, deep neural networks are sti...
07/16/2019 ∙ by Lukas Enderich, et al. ∙ 4 ∙ share

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CMRNet: Camera to LiDAR-Map Registration

In this paper we present CMRNet, a realtime approach based on a Convolut...
06/24/2019 ∙ by Daniele Cattaneo, et al. ∙ 0 ∙ share

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DeepTemporalSeg: Temporally Consistent Semantic Segmentation of 3D LiDAR Scans

Understanding the semantic characteristics of the environment is a key e...
06/17/2019 ∙ by Ayush Dewan, et al. ∙ 1 ∙ share

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Vision-Based Autonomous UAV Navigation and Landing for Urban Search and Rescue

Unmanned Aerial Vehicles (UAVs) equipped with bioradars are a life-savin...
06/04/2019 ∙ by Mayank Mittal, et al. ∙ 1 ∙ share

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Scheduled Intrinsic Drive: A Hierarchical Take on Intrinsically Motivated Exploration

Exploration in sparse reward reinforcement learning remains a difficult ...
03/18/2019 ∙ by Jingwei Zhang, et al. ∙ 12 ∙ share

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Robot Localization in Floor Plans Using a Room Layout Edge Extraction Network

Indoor localization is one of the crucial enablers for deployment of ser...
03/05/2019 ∙ by Federico Boniardi, et al. ∙ 12 ∙ share

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Robust, Compliant Assembly via Optimal Belief Space Planning

In automated manufacturing, robots must reliably assemble parts of vario...
11/09/2018 ∙ by Florian Wirnshofer, et al. ∙ 0 ∙ share

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Accurate Pouring with an Autonomous Robot Using an RGB-D Camera

Robotic assistants in a home environment are expected to perform various...
10/08/2018 ∙ by Chau Do, et al. ∙ 0 ∙ share

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Learning a Local Feature Descriptor for 3D LiDAR Scans

Robust data association is necessary for virtually every SLAM system and...
09/20/2018 ∙ by Ayush Dewan, et al. ∙ 8 ∙ share

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Vision-based Autonomous Landing in Catastrophe-Struck Environments

Unmanned Aerial Vehicles (UAVs) equipped with bioradars are a life-savin...
09/15/2018 ∙ by Mayank Mittal, et al. ∙ 0 ∙ share

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Multimodal Interaction-aware Motion Prediction for Autonomous Street Crossing

For mobile robots sharing the space with humans, acting in accordance wi...
08/21/2018 ∙ by Noha Radwan, et al. ∙ 0 ∙ share

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Self-Supervised Model Adaptation for Multimodal Semantic Segmentation

Learning to reliably perceive and understand the scene is an integral en...
08/11/2018 ∙ by Abhinav Valada, et al. ∙ 0 ∙ share

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The role of robot design in decoding error-related information from EEG signals of a human observer

For utilization of robotic assistive devices in everyday life, means for...
07/04/2018 ∙ by Joos Behncke, et al. ∙ 0 ∙ share

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Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding

When it comes to the classification of brain signals in real-life applic...
06/20/2018 ∙ by Joos Behncke, et al. ∙ 0 ∙ share

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Intracranial Error Detection via Deep Learning

Deep learning techniques have revolutionized the field of machine learni...
05/04/2018 ∙ by Martin Völker, et al. ∙ 2 ∙ share

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VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry

Visual localization is one of the fundamental enablers of robot autonomy...
04/23/2018 ∙ by Noha Radwan, et al. ∙ 0 ∙ share

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Wolfram Burgard

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