Niko Sünderhauf

Orcid: 0000-0001-5286-3789

Affiliations:
  • Queensland University of Technology, Australian Centre for Robotic Vision, Brisbane, QLD, Australia
  • Chemnitz University of Technology, Department of Electrical Engineering and Information Technology, Germany


According to our database1, Niko Sünderhauf authored at least 113 papers between 2005 and 2024.

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Bibliography

2024
Open-Set Recognition in the Age of Vision-Language Models.
CoRR, 2024

ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Bayesian controller fusion: Leveraging control priors in deep reinforcement learning for robotics.
Int. J. Robotics Res., March, 2023

Switchable Constraints for Robust Simultaneous Localization and Mapping and Satellite-Based Localization
Springer Tracts in Advanced Robotics 137, Springer, ISBN: 978-3-031-24015-7, 2023

LHManip: A Dataset for Long-Horizon Language-Grounded Manipulation Tasks in Cluttered Tabletop Environments.
CoRR, 2023

SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Task Planning.
CoRR, 2023

Contrastive Language, Action, and State Pre-training for Robot Learning.
CoRR, 2023

The Need for Inherently Privacy-Preserving Vision in Trustworthy Autonomous Systems.
CoRR, 2023

Addressing the Challenges of Open-World Object Detection.
CoRR, 2023

Hyperdimensional Feature Fusion for Out-of-Distribution Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Density-aware NeRF Ensembles: Quantifying Predictive Uncertainty in Neural Radiance Fields.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning.
Proceedings of the Conference on Robot Learning, 2023

2022
FSNet: A Failure Detection Framework for Semantic Segmentation.
IEEE Robotics Autom. Lett., 2022

Uncertainty for Identifying Open-Set Errors in Visual Object Detection.
IEEE Robotics Autom. Lett., 2022

A Holistic Approach to Reactive Mobile Manipulation.
IEEE Robotics Autom. Lett., 2022

BenchBot environments for active robotics (BEAR): Simulated data for active scene understanding research.
Int. J. Robotics Res., 2022

Semantic-geometric visual place recognition: a new perspective for reconciling opposing views.
Int. J. Robotics Res., 2022

ParticleNeRF: A Particle-Based Encoding for Online Neural Radiance Fields in Dynamic Scenes.
CoRR, 2022

Retrospectives on the Embodied AI Workshop.
CoRR, 2022

Noisy Inliers Make Great Outliers: Out-of-Distribution Object Detection with Noisy Synthetic Outliers.
CoRR, 2022

Implicit Object Mapping With Noisy Data.
CoRR, 2022

Forest Traversability Mapping (FTM): Traversability estimation using 3D voxel-based Normal Distributed Transform to enable forest navigation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics.
Proceedings of the Conference on Robot Learning, 2022

2021
Probabilistic Appearance-Invariant Topometric Localization With New Place Awareness.
IEEE Robotics Autom. Lett., October, 2021

Corrections to "Probabilistic Visual Place Recognition for Hierarchical Localization".
IEEE Robotics Autom. Lett., 2021

Probabilistic Visual Place Recognition for Hierarchical Localization.
IEEE Robotics Autom. Lett., 2021

Hyperdimensional Feature Fusion for Out-Of-Distribution Detection.
CoRR, 2021

Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots.
CoRR, 2021

Per-frame mAP Prediction for Continuous Performance Monitoring of Object Detection During Deployment.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision Workshops, 2021

Class Anchor Clustering: A Loss for Distance-based Open Set Recognition.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Critic Guided Segmentation of Rewarding Objects in First-Person Views.
Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

Online Monitoring of Object Detection Performance During Deployment.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

VarifocalNet: An IoU-Aware Dense Object Detector.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Special Issue on Deep Learning for Robotic Vision.
Int. J. Comput. Vis., 2020

Semantics for Robotic Mapping, Perception and Interaction: A Survey.
Found. Trends Robotics, 2020

SWA Object Detection.
CoRR, 2020

Online Monitoring of Object Detection Performance Post-Deployment.
CoRR, 2020

Performance Monitoring of Object Detection During Deployment.
CoRR, 2020

The Robotic Vision Scene Understanding Challenge.
CoRR, 2020

BenchBot: Evaluating Robotics Research in Photorealistic 3D Simulation and on Real Robots.
CoRR, 2020

Class Anchor Clustering: a Distance-based Loss for Training Open Set Classifiers.
CoRR, 2020

Multiplicative Controller Fusion: A Hybrid Navigation Strategy For Deployment in Unknown Environments.
CoRR, 2020

Probabilistic Object Detection: Definition and Evaluation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Multiplicative Controller Fusion: Leveraging Algorithmic Priors for Sample-efficient Reinforcement Learning and Safe Sim-To-Real Transfer.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
QuadricSLAM: Dual Quadrics From Object Detections as Landmarks in Object-Oriented SLAM.
IEEE Robotics Autom. Lett., 2019

A probabilistic challenge for object detection.
Nat. Mach. Intell., 2019

Residual Reactive Navigation: Combining Classical and Learned Navigation Strategies For Deployment in Unknown Environments.
CoRR, 2019

Where are the Keys? - Learning Object-Centric Navigation Policies on Semantic Maps with Graph Convolutional Networks.
CoRR, 2019

The Probabilistic Object Detection Challenge.
CoRR, 2019

What Can Robotics Research Learn from Computer Vision Research?
Proceedings of the Robotics Research, 2019

Did You Miss the Sign? A False Negative Alarm System for Traffic Sign Detectors.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection.
Proceedings of the International Conference on Robotics and Automation, 2019

Look No Deeper: Recognizing Places from Opposing Viewpoints under Varying Scene Appearance using Single-View Depth Estimation.
Proceedings of the International Conference on Robotics and Automation, 2019

Airborne Particle Classification in LiDAR Point Clouds Using Deep Learning.
Proceedings of the Field and Service Robotics, 2019

Benchmarking Sampling-based Probabilistic Object Detectors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Multimodal Trip Hazard Affordance Detection on Construction Sites.
IEEE Robotics Autom. Lett., 2018

Special issue on deep learning in robotics.
Int. J. Robotics Res., 2018

The limits and potentials of deep learning for robotics.
Int. J. Robotics Res., 2018

Probability-based Detection Quality (PDQ): A Probabilistic Approach to Detection Evaluation.
CoRR, 2018

Zero-shot Sim-to-Real Transfer with Modular Priors.
CoRR, 2018

An Orientation Factor for Object-Oriented SLAM.
CoRR, 2018

Towards Semantic SLAM: Points, Planes and Objects.
CoRR, 2018

QuadricSLAM: Constrained Dual Quadrics from Object Detections as Landmarks in Semantic SLAM.
CoRR, 2018

LoST? Appearance-Invariant Place Recognition for Opposite Viewpoints using Visual Semantics.
Proceedings of the Robotics: Science and Systems XIV, 2018

SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Dropout Sampling for Robust Object Detection in Open-Set Conditions.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Don't Look Back: Robustifying Place Categorization for Viewpoint- and Condition-Invariant Place Recognition.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

QuadricSLAM: Dual Quadrics As SLAM Landmarks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning Deployable Navigation Policies at Kilometer Scale from a Single Traversal.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Structure Aware SLAM Using Quadrics and Planes.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
One-Shot Reinforcement Learning for Robot Navigation with Interactive Replay.
CoRR, 2017

Dual Quadrics from Object Detection BoundingBoxes as Landmark Representations in SLAM.
CoRR, 2017

What Would You Do? Acting by Learning to Predict.
CoRR, 2017

Multi-Modal Trip Hazard Affordance Detection On Construction Sites.
CoRR, 2017

Meaningful maps with object-oriented semantic mapping.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

The ACRV picking benchmark: A robotic shelf picking benchmark to foster reproducible research.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Deep learning features at scale for visual place recognition.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Episode-Based Active Learning with Bayesian Neural Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
Visual Place Recognition: A Survey.
IEEE Trans. Robotics, 2016

Meaningful Maps - Object-Oriented Semantic Mapping.
CoRR, 2016

The ACRV Picking Benchmark (APB): A Robotic Shelf Picking Benchmark to Foster Reproducible Research.
CoRR, 2016

High-fidelity simulation for evaluating robotic vision performance.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Place categorization and semantic mapping on a mobile robot.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Superpixel-based appearance change prediction for long-term navigation across seasons.
Robotics Auton. Syst., 2015

Evaluation of Features for Leaf Classification in Challenging Conditions.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Place Recognition with ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free.
Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

On the performance of ConvNet features for place recognition.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Sequence searching with deep-learnt depth for condition- and viewpoint-invariant route-based place recognition.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2014
Proceedings of the 1st Workshop on Robotics Challenges and Vision (RCV2013).
CoRR, 2014

Fine-Grained Plant Classification Using Convolutional Neural Networks for Feature Extraction.
Proceedings of the Working Notes for CLEF 2014 Conference, 2014

2013
Switchable constraints and incremental smoothing for online mitigation of non-line-of-sight and multipath effects.
Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

Switchable constraints vs. max-mixture models vs. RRR - A comparison of three approaches to robust pose graph SLAM.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Incremental smoothing vs. filtering for sensor fusion on an indoor UAV.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Appearance change prediction for long-term navigation across seasons.
Proceedings of the 2013 European Conference on Mobile Robots, 2013

2012
From Saliency Based Image Features Towards Semantic Mapping.
Proceedings of the ROBOTIK 2012, 2012

Multipath mitigation in GNSS-based localization using robust optimization.
Proceedings of the 2012 IEEE Intelligent Vehicles Symposium, 2012

Switchable constraints for robust pose graph SLAM.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Towards a robust back-end for pose graph SLAM.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Towards robust graphical models for GNSS-based localization in urban environments.
Proceedings of the International Multi-Conference on Systems, Signals & Devices, 2012

2011
BRIEF-Gist - Closing the loop by simple means.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

2010
Learning from Nature: Biologically Inspired Robot Navigation and SLAM - A Review.
Künstliche Intell., 2010

From Neurons to Robots: Towards Efficient Biologically Inspired Filtering and SLAM.
Proceedings of the KI 2010: Advances in Artificial Intelligence, 2010

The causal update filter - A novel biologically inspired filter paradigm for appearance-based SLAM.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Beyond RatSLAM: Improvements to a biologically inspired SLAM system.
Proceedings of 15th IEEE International Conference on Emerging Technologies and Factory Automation, 2010

2009
Using image profiles and integral images for efficient calculation of sparse optical flow fields.
Proceedings of the 14th International Conference on Advanced Robotics, 2009

A vision based onboard approach for landing and position control of an autonomous multirotor UAV in GPS-denied environments.
Proceedings of the 14th International Conference on Advanced Robotics, 2009

2006
Bringing Robotics closer to Students - a Threefold Approach.
Proceedings of the 2006 IEEE International Conference on Robotics and Automation, 2006

2005
RoboKing - Bringing Robotics closer to Pupils.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

Visual Odometry Using Sparse Bundle Adjustment on an Autonomous Outdoor Vehicle.
Proceedings of the Autonome Mobile Systeme 2005, 2005


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