Wolfram Burgard

research

∙ 09/19/2023

Few-Shot Panoptic Segmentation With Foundation Models

Current state-of-the-art methods for panoptic segmentation require an im...

0 Markus Käppeler, et al. ∙

research

∙ 09/12/2023

Collaborative Dynamic 3D Scene Graphs for Automated Driving

Maps have played an indispensable role in enabling safe and automated dr...

0 Elias Greve, et al. ∙

research

∙ 08/10/2023

A Smart Robotic System for Industrial Plant Supervision

In today's chemical production plants, human field operators perform fre...

0 D. Adriana Gómez-Rosal, et al. ∙

research

∙ 07/02/2023

POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments

Simultaneous localization and mapping (SLAM) in slowly varying scenes is...

0 Jingxing Qian, et al. ∙

research

∙ 06/27/2023

AutoGraph: Predicting Lane Graphs from Traffic Observations

Lane graph estimation is a long-standing problem in the context of auton...

0 Jannik Zürn, et al. ∙

research

∙ 06/20/2023

End-to-end 2D-3D Registration between Image and LiDAR Point Cloud for Vehicle Localization

Robot localization using a previously built map is essential for a varie...

0 Guangming Wang, et al. ∙

research

∙ 06/10/2023

Fast yet predictable braking manoeuvers for real-time robot control

This paper proposes a framework for generating fast, smooth and predicta...

0 Mazin Hamad, et al. ∙

research

∙ 05/08/2023

The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation

In policy learning for robotic manipulation, sample efficiency is of par...

0 Jan Ole von Hartz, et al. ∙

research

∙ 04/14/2023

FM-Loc: Using Foundation Models for Improved Vision-based Localization

Visual place recognition is essential for vision-based robot localizatio...

0 Reihaneh Mirjalili, et al. ∙

research

∙ 03/21/2023

Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces

The safe deployment of autonomous vehicles relies on their ability to ef...

0 Johan Vertens, et al. ∙

research

∙ 03/17/2023

CoVIO: Online Continual Learning for Visual-Inertial Odometry

Visual odometry is a fundamental task for many applications on mobile de...

0 Niclas Vödisch, et al. ∙

research

∙ 03/17/2023

CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation

Operating a robot in the open world requires a high level of robustness ...

0 Niclas Vödisch, et al. ∙

research

∙ 03/17/2023

Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting

Early stopping based on the validation set performance is a popular appr...

0 Nicolai Dorka, et al. ∙

research

∙ 03/13/2023

Audio Visual Language Maps for Robot Navigation

While interacting in the world is a multi-sensory experience, many robot...

0 Chenguang Huang, et al. ∙

research

∙ 03/06/2023

EvCenterNet: Uncertainty Estimation for Object Detection using Evidential Learning

Uncertainty estimation is crucial in safety-critical settings such as au...

0 Monish R. Nallapareddy, et al. ∙

research

∙ 02/13/2023

Learning and Aggregating Lane Graphs for Urban Automated Driving

Lane graph estimation is an essential and highly challenging task in aut...

0 Martin Buchner, et al. ∙

research

∙ 02/08/2023

SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images

Bird's-Eye-View (BEV) semantic maps have become an essential component o...

0 Nikhil Gosala, et al. ∙

research

∙ 10/11/2022

Visual Language Maps for Robot Navigation

Grounding language to the visual observations of a navigating agent can ...

0 Chenguang Huang, et al. ∙

research

∙ 10/10/2022

Uncertainty-aware LiDAR Panoptic Segmentation

Modern autonomous systems often rely on LiDAR scanners, in particular fo...

0 Kshitij Sirohi, et al. ∙

research

∙ 10/04/2022

Grounding Language with Visual Affordances over Unstructured Data

Recent works have shown that Large Language Models (LLMs) can be applied...

0 Oier Mees, et al. ∙

research

∙ 09/20/2022

PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration using Panoptic Attention

A key component of graph-based SLAM systems is the ability to detect loo...

0 José Arce, et al. ∙

research

∙ 09/19/2022

T3VIP: Transformation-based 3D Video Prediction

For autonomous skill acquisition, robots have to learn about the physica...

6 Iman Nematollahi, et al. ∙

research

∙ 09/19/2022

Latent Plans for Task-Agnostic Offline Reinforcement Learning

Everyday tasks of long-horizon and comprising a sequence of multiple imp...

20 Erick Rosete-Beas, et al. ∙

research

∙ 09/12/2022

TrackletMapper: Ground Surface Segmentation and Mapping from Traffic Participant Trajectories

Robustly classifying ground infrastructure such as roads and street cros...

5 Jannik Zürn, et al. ∙

research

∙ 07/15/2022

USegScene: Unsupervised Learning of Depth, Optical Flow and Ego-Motion with Semantic Guidance and Coupled Networks

In this paper we propose USegScene, a framework for semantically guided ...

15 Johan Vertens, et al. ∙

research

∙ 06/29/2022

Uncertainty-aware Panoptic Segmentation

Reliable scene understanding is indispensable for modern autonomous syst...

21 Kshitij Sirohi, et al. ∙

research

∙ 04/13/2022

What Matters in Language Conditioned Robotic Imitation Learning

A long-standing goal in robotics is to build robots that can perform a w...

13 Oier Mees, et al. ∙

research

∙ 03/03/2022

Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning

While lifelong SLAM addresses the capability of a robot to adapt to chan...

0 Niclas Vödisch, et al. ∙

research

∙ 03/01/2022

Affordance Learning from Play for Sample-Efficient Policy Learning

Robots operating in human-centered environments should have the ability ...

4 Jessica Borja-Diaz, et al. ∙

research

∙ 01/30/2022

Self-Supervised Moving Vehicle Detection from Audio-Visual Cues

Robust detection of moving vehicles is a critical task for any autonomou...

5 Jannik Zürn, et al. ∙

research

∙ 12/06/2021

CALVIN: A Benchmark for Language-conditioned Policy Learning for Long-horizon Robot Manipulation Tasks

General-purpose robots coexisting with humans in their environment must ...

6 Oier Mees, et al. ∙

research

∙ 11/25/2021

Robot Skill Adaptation via Soft Actor-Critic Gaussian Mixture Models

A core challenge for an autonomous agent acting in the real world is to ...

14 Iman Nematollahi, et al. ∙

research

∙ 11/24/2021

Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning

Accurate value estimates are important for off-policy reinforcement lear...

3 Nicolai Dorka, et al. ∙

research

∙ 10/20/2021

Robust Monocular Localization in Sparse HD Maps Leveraging Multi-Task Uncertainty Estimation

Robust localization in dense urban scenarios using a low-cost sensor set...

4 Kürsat Petek, et al. ∙

research

∙ 10/07/2021

Correct Me if I am Wrong: Interactive Learning for Robotic Manipulation

Learning to solve complex manipulation tasks from visual observations is...

0 Eugenio Chisari, et al. ∙

research

∙ 06/11/2021

Courteous Behavior of Automated Vehicles at Unsignalized Intersections via Reinforcement Learning

The transition from today's mostly human-driven traffic to a purely auto...

7 Shengchao Yan, et al. ∙

research

∙ 05/01/2021

Lane Graph Estimation for Scene Understanding in Urban Driving

Lane-level scene annotations provide invaluable data in autonomous vehic...

5 Jannik Zürn, et al. ∙

research

∙ 04/29/2021

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

Visual domain randomization in simulated environments is a widely used m...

15 Artemij Amiranashvili, et al. ∙

research

∙ 03/30/2021

Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion

Estimating scene geometry from data obtained with cost-effective sensors...

7 Vitor Guizilini, et al. ∙

research

∙ 03/26/2021

Learning to Track with Object Permanence

Tracking by detection, the dominant approach for online multi-object tra...

7 Pavel Tokmakov, et al. ∙

research

∙ 02/16/2021

Composing Pick-and-Place Tasks By Grounding Language

Controlling robots to perform tasks via natural language is one of the m...

12 Oier Mees, et al. ∙

research

∙ 02/16/2021

EfficientLPS: Efficient LiDAR Panoptic Segmentation

Panoptic segmentation of point clouds is a crucial task that enables aut...

31 Kshitij Sirohi, et al. ∙

research

∙ 11/17/2020

Modality-Buffet for Real-Time Object Detection

Real-time object detection in videos using lightweight hardware is a cru...

9 Nicolai Dorka, et al. ∙

research

∙ 10/21/2020

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

The advances in computer processor technology have enabled the applicati...

0 Barbara Barros Carlos, et al. ∙

research

∙ 09/17/2020

Holistic Filter Pruning for Efficient Deep Neural Networks

Deep neural networks (DNNs) are usually over-parameterized to increase t...

53 Lukas Enderich, et al. ∙

research

∙ 08/29/2020

Driving Through Ghosts: Behavioral Cloning with False Positives

Safe autonomous driving requires robust detection of other traffic parti...

11 Andreas Bühler, et al. ∙

research

∙ 08/15/2020

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...

15 Igor Vasiljevic, et al. ∙

research

∙ 08/03/2020

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

In autonomous driving, accurately estimating the state of surrounding ob...

4 Kuan-Hui Lee, et al. ∙

research

∙ 08/02/2020

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...

6 Iman Nematollahi, et al. ∙

research

∙ 07/19/2020

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

Single encoder-decoder methodologies for semantic segmentation are reach...

21 Gabriel L. Oliveira, et al. ∙

Wolfram Burgard

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