Peer Neubert

62 papers A* 4A 4B 4C 4Misc 2Journal 28Unranked 16
YearRankTypeTitle / Venue / Authors
2025 — conf
Data-Efficient Spectral Classification of Hyperspectral Data Using MiniROCKET and HDC-MiniROCKET.
CASE
Nick Theisen, Kenny Schlegel, Dietrich Paulus, Peer Neubert
2025 J jnl
Data-Efficient Spectral Classification of Hyperspectral Data Using MiniROCKET and HDC-MiniROCKET.
CoRR
Nick Theisen, Kenny Schlegel, Dietrich Paulus, Peer Neubert
2025 B conf
On the choice of Vector Symbolic Architectures for Time Series Classification with HDC-MiniROCKET.
IJCNN
Marcel Unger, Kenny Schlegel, Peter Protzel, Peer Neubert
2025 J jnl
Structured temporal representation in time series classification with ROCKETs and hyperdimensional computing.
Data Min. Knowl. Discov.
Kenny Schlegel, Dmitri A. Rachkovskij, Denis Kleyko, Ross W. Gayler, Peter Protzel, Peer Neubert
2025 J jnl
Towards Zero-Shot Terrain Traversability Estimation: Challenges and Opportunities.
CoRR
Ida Germann, Mark O. Mints, Peer Neubert
2024 J jnl
FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification.
CoRR
Markus Weißflog, Peter Protzel, Peer Neubert
2024 A conf
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios.
IROS
Nick Theisen, Robin Bartsch, Dietrich Paulus, Peer Neubert
2024 J jnl
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios.
CoRR
Nick Theisen, Robin Bartsch, Dietrich Paulus, Peer Neubert
2024 B conf
Learnable Weighted Superposition in HDC and its Application to Multi-channel Time Series Classification.
IJCNN
Kenny Schlegel, Dmitri A. Rachkovskij, Evgeny Osipov, Peter Protzel, Peer Neubert
2024 J jnl
Lessons from a challenge on forecasting epileptic seizures from non-cerebral signals.
Nat. Mac. Intell.
Kenny Schlegel, Denis Kleyko, Benjamin H. Brinkmann, Ewan S. Nurse, Ross W. Gayler, Peer Neubert
2024 J jnl
Local Positional Graphs and Attentive Local Features for a Data and Runtime-Efficient Hierarchical Place Recognition Pipeline.
IEEE Robotics Autom. Lett.
Fangming Yuan, Stefan Schubert, Peter Protzel, Peer Neubert
2024 J jnl
Local positional graphs and attentive local features for a data and runtime-efficient hierarchical place recognition pipeline.
CoRR
Fangming Yuan, Stefan Schubert, Peter Protzel, Peer Neubert
2024 — conf
Towards Revisiting Visual Place Recognition for Joining Submaps in Multimap SLAM$^\star $.
TAROS (1)
Markus Weißflog, Stefan Schubert, Peter Protzel, Peer Neubert
2024 J jnl
Towards Revisiting Visual Place Recognition for Joining Submaps in Multimap SLAM.
CoRR
Markus Weißflog, Stefan Schubert, Peter Protzel, Peer Neubert
2024 J jnl
Visual Place Recognition: A Tutorial [Tutorial].
IEEE Robotics Autom. Mag.
Stefan Schubert, Peer Neubert, Sourav Garg, Michael Milford, Tobias Fischer
2023 C conf
FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification.
IDEAL
Markus Weißflog, Peter Protzel, Peer Neubert
2023 J jnl
HealthWalk: Promoting Health and Mobility through Sensor-Based Rollator Walker Assistance.
CoRR
Ivanna Kramer, Kevin Weirauch, Sabine Bauer, Mark Oliver Mints, Peer Neubert
2023 — conf
Point-Cloud-Based Change Detection for Steep Slope Vineyard Agriculture.
SENSORS
Mark O. Mints, Nick Theisen, Peer Neubert, Dietrich Paulus
2023 J jnl
Visual Place Recognition: A Tutorial.
CoRR
Stefan Schubert, Peer Neubert, Sourav Garg, Michael Milford, Tobias Fischer
2022 J jnl
A comparison of vector symbolic architectures.
Artif. Intell. Rev.
Kenny Schlegel, Peer Neubert, Peter Protzel
2022 B conf
HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing.
IJCNN
Kenny Schlegel, Peer Neubert, Peter Protzel
2022 J jnl
HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing.
CoRR
Kenny Schlegel, Peer Neubert, Peter Protzel
2022 — conf
SEER: Unsupervised and sample-efficient environment specialization of image descriptors.
Robotics: Science and Systems
Peer Neubert, Stefan Schubert
2021 A* conf
Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition.
ICRA
Stefan Schubert, Peer Neubert, Peter Protzel
2021 J jnl
Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition.
CoRR
Stefan Schubert, Peer Neubert, Peter Protzel
2021 — conf
Fast and Memory Efficient Graph Optimization via ICM for Visual Place Recognition.
Robotics: Science and Systems
Stefan Schubert, Peer Neubert, Peter Protzel
2021 J jnl
Graph-Based Non-Linear Least Squares Optimization for Visual Place Recognition in Changing Environments.
IEEE Robotics Autom. Lett.
Stefan Schubert, Peer Neubert, Peter Protzel
2021 A* conf
Hyperdimensional Computing as a Framework for Systematic Aggregation of Image Descriptors.
CVPR
Peer Neubert, Stefan Schubert
2021 J jnl
Hyperdimensional computing as a framework for systematic aggregation of image descriptors.
CoRR
Peer Neubert, Stefan Schubert
2021 C conf
Multivariate Time Series Analysis for Driving Style Classification using Neural Networks and Hyperdimensional Computing.
IV
Kenny Schlegel, Florian Mirus, Peer Neubert, Peter Protzel
2021 J jnl
Resolving Place Recognition Inconsistencies Using Intra-Set Similarities.
IEEE Robotics Autom. Lett.
Peer Neubert, Stefan Schubert, Peter Protzel
2021 A* conf
SoftMP: Attentive feature pooling for joint local feature detection and description for place recognition in changing environments.
ICRA
Fangming Yuan, Peer Neubert, Stefan Schubert, Peter Protzel
2021 — conf
Vector Semantic Representations as Descriptors for Visual Place Recognition.
Robotics: Science and Systems
Peer Neubert, Stefan Schubert, Kenny Schlegel, Peter Protzel
2021 J jnl
What makes visual place recognition easy or hard?
CoRR
Stefan Schubert, Peer Neubert
2020 J jnl
A comparison of Vector Symbolic Architectures.
CoRR
Kenny Schlegel, Peer Neubert, Peter Protzel
2020 — conf
Building a Navigation System for a Shopping Assistant Robot from Off-the-Shelf Components.
TAROS
Kenny Schlegel, Peer Neubert, Peter Protzel
2020 J jnl
Graph-based non-linear least squares optimization for visual place recognition in changing environments.
CoRR
Stefan Schubert, Peer Neubert, Peter Protzel
2020 — conf
LocalSPED: A Classification Pipeline that Can Learn Local Features for Place Recognition Using a Small Training Set.
TAROS
Fangming Yuan, Peer Neubert, Peter Protzel
2020 A* conf
Unsupervised Learning Methods for Visual Place Recognition in Discretely and Continuously Changing Environments.
ICRA
Stefan Schubert, Peer Neubert, Peter Protzel
2020 J jnl
Unsupervised Learning Methods for Visual Place Recognition in Discretely and Continuously Changing Environments.
CoRR
Stefan Schubert, Peer Neubert, Peter Protzel
2019 J jnl
A Neurologically Inspired Sequence Processing Model for Mobile Robot Place Recognition.
IEEE Robotics Autom. Lett.
Peer Neubert, Stefan Schubert, Peter Protzel
2019 J jnl
An Introduction to Hyperdimensional Computing for Robotics.
Künstliche Intell.
Peer Neubert, Stefan Schubert, Peter Protzel
2019 C conf
Circular Convolutional Neural Networks for Panoramic Images and Laser Data.
IV
Stefan Schubert, Peer Neubert, Johannes Pöschmann, Peter Protzel
2019 — conf
Towards combining a neocortex model with entorhinal grid cells for mobile robot localization.
ECMR
Stefan Schubert, Peer Neubert, Peter Protzel
2018 Misc conf
A Sequence-Based Neuronal Model for Mobile Robot Localization.
KI
Peer Neubert, Subutai Ahmad, Peter Protzel
2018 Misc conf
Towards Hypervector Representations for Learning and Planning with Schemas.
KI
Peer Neubert, Peter Protzel
2017 J jnl
Image features for visual teach-and-repeat navigation in changing environments.
Robotics Auton. Syst.
Tomás Krajník, Pablo De Cristóforis, Keerthy Kusumam, Peer Neubert, Tom Duckett
2017 A conf
Sampling-based methods for visual navigation in 3D maps by synthesizing depth images.
IROS
Peer Neubert, Stefan Schubert, Peter Protzel
2017 — conf
Synthesized semantic views for mobile robot localization.
ECMR
Johannes Pöschmann, Peer Neubert, Stefan Schubert, Peter Protzel
2017 — conf
Towards Camera Based Navigation in 3D Maps by Synthesizing Depth Images.
TAROS
Stefan Schubert, Peer Neubert, Peter Protzel
2016 J jnl
Beyond Holistic Descriptors, Keypoints, and Fixed Patches: Multiscale Superpixel Grids for Place Recognition in Changing Environments.
IEEE Robotics Autom. Lett.
Peer Neubert, Peter Protzel
2016 — conf
How to Build and Customize a High-Resolution 3D Laserscanner Using Off-the-shelf Components.
TAROS
Stefan Schubert, Peer Neubert, Peter Protzel
2015 — conf
Benchmarking superpixel descriptors.
EUSIPCO
Peer Neubert, Peter Protzel
2015 — conf
Local region detector + CNN based landmarks for practical place recognition in changing environments.
ECMR
Peer Neubert, Peter Protzel
2015 J jnl
Superpixel-based appearance change prediction for long-term navigation across seasons.
Robotics Auton. Syst.
Peer Neubert, Niko Sünderhauf, Peter Protzel
2014 B conf
Compact Watershed and Preemptive SLIC: On Improving Trade-offs of Superpixel Segmentation Algorithms.
ICPR
Peer Neubert, Peter Protzel
2014 J jnl
Proceedings of the 1st Workshop on Robotics Challenges and Vision (RCV2013).
CoRR
Aitor Aladren, Sasa Bodiroza, Hamid Reza Chitsaz, J. J. Guerrero, Verena V. Hafner, Kris K. Hauser, Aleksandar Jevtic, Moslem Kazemi, Bruno Lara, Gonzalo López-Nicolás, Peer Neubert, Peter Protzel, Laurel D. Riek, Niko Sünderhauf, Chee Yap
2013 — conf
Appearance change prediction for long-term navigation across seasons.
ECMR
Peer Neubert, Niko Sünderhauf, Peter Protzel
2013 A conf
Evaluating Superpixels in Video: Metrics Beyond Figure-Ground Segmentation.
BMVC
Peer Neubert, Peter Protzel
2012 — conf
From Saliency Based Image Features Towards Semantic Mapping.
ROBOTIK
Peer Neubert, Niko Sünderhauf, Peter Protzel
2010 A conf
The causal update filter - A novel biologically inspired filter paradigm for appearance-based SLAM.
IROS
Niko Sünderhauf, Peer Neubert, Peter Protzel
2008 C conf
A fast visual line segment tracker.
ETFA
Peer Neubert, Peter Protzel, Teresa A. Vidal-Calleja, Simon Lacroix