Peter Protzel

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 49

Top Venues

CoRR

IEEE Robotics Autom. Lett.

TAROS

ICRA

Braunschweig University of Technology, Germany (PHD)

Education History

Braunschweig University of Technology, Germany

PHD

Publications

Fangming Yuan, Stefan Schubert, Peter Protzel, Peer Neubert
Local Positional Graphs and Attentive Local Features for a Data and Runtime-Efficient Hierarchical Place Recognition Pipeline. IEEE Robotics Autom. Lett. 9 (3) (2024)
Markus Weißflog, Peter Protzel, Peer Neubert
FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification. IDEAL (2023)
Kenny Schlegel, Peer Neubert, Peter Protzel
A comparison of vector symbolic architectures. Artif. Intell. Rev. 55 (6) (2022)
Kenny Schlegel, Peer Neubert, Peter Protzel
HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing. IJCNN (2022)
Kenny Schlegel, Peer Neubert, Peter Protzel
HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing. CoRR (2022)
Karim Haggag, Sven Lange, Tim Pfeifer, Peter Protzel
A Credible and Robust Approach to Ego-Motion Estimation Using an Automotive Radar. IEEE Robotics Autom. Lett. 7 (3) (2022)
Karim Haggag, Sven Lange, Tim Pfeifer, Peter Protzel
A Credible and Robust approach to Ego-Motion Estimation using an Automotive Radar. CoRR (2022)
Stefan Schubert, Peer Neubert, Peter Protzel
Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition. ICRA (2021)
Tim Pfeifer, Sven Lange, Peter Protzel
Advancing Mixture Models for Least Squares Optimization. CoRR (2021)
Kenny Schlegel, Peter Weissig, Peter Protzel
A blind-spot-aware optimization-based planner for safe robot navigation. ECMR (2021)
Stefan Schubert, Peer Neubert, Peter Protzel
Graph-Based Non-Linear Least Squares Optimization for Visual Place Recognition in Changing Environments. IEEE Robotics Autom. Lett. 6 (2) (2021)
Peer Neubert, Stefan Schubert, Peter Protzel
Resolving Place Recognition Inconsistencies Using Intra-Set Similarities. IEEE Robotics Autom. Lett. 6 (2) (2021)
Tim Pfeifer, Sven Lange, Peter Protzel
Advancing Mixture Models for Least Squares Optimization. IEEE Robotics Autom. Lett. 6 (2) (2021)
Fangming Yuan, Peer Neubert, Stefan Schubert, Peter Protzel
SoftMP: Attentive feature pooling for joint local feature detection and description for place recognition in changing environments. ICRA (2021)
Stefan Schubert, Peer Neubert, Peter Protzel
Fast and Memory Efficient Graph Optimization via ICM for Visual Place Recognition. Robotics: Science and Systems (2021)
Kenny Schlegel, Florian Mirus, Peer Neubert, Peter Protzel
Multivariate Time Series Analysis for Driving Style Classification using Neural Networks and Hyperdimensional Computing. IV (2021)
Peer Neubert, Stefan Schubert, Kenny Schlegel, Peter Protzel
Vector Semantic Representations as Descriptors for Visual Place Recognition. Robotics: Science and Systems (2021)
Johannes Pöschmann, Tim Pfeifer, Peter Protzel
Optimization based 3D Multi-Object Tracking using Camera and Radar Data. IV (2021)
Stefan Schubert, Peer Neubert, Peter Protzel
Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition. CoRR (2021)
Stefan Schubert, Peer Neubert, Peter Protzel
Unsupervised Learning Methods for Visual Place Recognition in Discretely and Continuously Changing Environments. ICRA (2020)
Stefan Schubert, Peer Neubert, Peter Protzel
Unsupervised Learning Methods for Visual Place Recognition in Discretely and Continuously Changing Environments. CoRR (2020)
Fangming Yuan, Peer Neubert, Peter Protzel
LocalSPED: A Classification Pipeline that Can Learn Local Features for Place Recognition Using a Small Training Set. TAROS (2020)
Kenny Schlegel, Peer Neubert, Peter Protzel
A comparison of Vector Symbolic Architectures. CoRR (2020)
Kenny Schlegel, Peer Neubert, Peter Protzel
Building a Navigation System for a Shopping Assistant Robot from Off-the-Shelf Components. TAROS (2020)
Johannes Pöschmann, Tim Pfeifer, Peter Protzel
Factor Graph based 3D Multi-Object Tracking in Point Clouds. CoRR (2020)
Johannes Pöschmann, Tim Pfeifer, Peter Protzel
Factor Graph based 3D Multi-Object Tracking in Point Clouds. IROS (2020)
Stefan Schubert, Peer Neubert, Peter Protzel
Graph-based non-linear least squares optimization for visual place recognition in changing environments. CoRR (2020)
Tim Pfeifer, Peter Protzel
Expectation-Maximization for Adaptive Mixture Models in Graph Optimization. ICRA (2019)
Peer Neubert, Stefan Schubert, Peter Protzel
A Neurologically Inspired Sequence Processing Model for Mobile Robot Place Recognition. IEEE Robotics Autom. Lett. 4 (4) (2019)
Stefan Schubert, Peer Neubert, Peter Protzel
Towards combining a neocortex model with entorhinal grid cells for mobile robot localization. ECMR (2019)
Tim Pfeifer, Peter Protzel
Incrementally learned Mixture Models for GNSS Localization. IV (2019)
Peer Neubert, Stefan Schubert, Peter Protzel
An Introduction to Hyperdimensional Computing for Robotics. Künstliche Intell. 33 (4) (2019)
Stefan Schubert, Peer Neubert, Johannes Pöschmann, Peter Protzel
Circular Convolutional Neural Networks for Panoramic Images and Laser Data. IV (2019)
Tim Pfeifer, Peter Protzel
Incrementally Learned Mixture Models for GNSS Localization. CoRR (2019)
Peer Neubert, Peter Protzel
Towards Hypervector Representations for Learning and Planning with Schemas. KI (2018)
Tim Pfeifer, Peter Protzel
Expectation-Maximization for Adaptive Mixture Models in Graph Optimization. CoRR (2018)
Peer Neubert, Subutai Ahmad, Peter Protzel
A Sequence-Based Neuronal Model for Mobile Robot Localization. KI (2018)
Tim Pfeifer, Peter Protzel
Robust Sensor Fusion with Self-Tuning Mixture Models. IROS (2018)
Johannes Pöschmann, Peer Neubert, Stefan Schubert, Peter Protzel
Synthesized semantic views for mobile robot localization. ECMR (2017)
Tim Pfeifer, Sven Lange, Peter Protzel
Dynamic Covariance Estimation - A parameter free approach to robust Sensor Fusion. MFI (2017)
Sven Lange, Peter Weissig, Andreas Uhlig, Peter Protzel
TUC-Bot: A Microcontroller Based Robot for Education. RiE (2017)
Peer Neubert, Stefan Schubert, Peter Protzel
Sampling-based methods for visual navigation in 3D maps by synthesizing depth images. IROS (2017)
Stefan Schubert, Peer Neubert, Peter Protzel
Towards Camera Based Navigation in 3D Maps by Synthesizing Depth Images. TAROS (2017)
Tim Pfeifer, Peter Weissig, Sven Lange, Peter Protzel
Robust factor graph optimization - a comparison for sensor fusion applications. ETFA (2016)
Stefan Schubert, Peer Neubert, Peter Protzel
How to Build and Customize a High-Resolution 3D Laserscanner Using Off-the-shelf Components. TAROS (2016)
Peer Neubert, Peter Protzel
Beyond Holistic Descriptors, Keypoints, and Fixed Patches: Multiscale Superpixel Grids for Place Recognition in Changing Environments. IEEE Robotics Autom. Lett. 1 (1) (2016)
Peer Neubert, Niko Sünderhauf, Peter Protzel
Superpixel-based appearance change prediction for long-term navigation across seasons. Robotics Auton. Syst. 69 (2015)
Peer Neubert, Peter Protzel
Benchmarking superpixel descriptors. EUSIPCO (2015)
Peer Neubert, Peter Protzel
Local region detector + CNN based landmarks for practical place recognition in changing environments. ECMR (2015)
Martina Truschzinski, Helge U. Dinkelbach, Nicholas H. Müller, Peter Ohler, Fred Hamke, Peter Protzel
Deducing human emotions by robots: Computing basic non-verbal expressions of performed actions during a work task. ISIC (2014)
Peer Neubert, Peter Protzel
Compact Watershed and Preemptive SLIC: On Improving Trade-offs of Superpixel Segmentation Algorithms. ICPR (2014)
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
Proceedings of the 1st Workshop on Robotics Challenges and Vision (RCV2013). CoRR (2014)
Sven Lange, Niko Sünderhauf, Peter Protzel
Incremental smoothing vs. filtering for sensor fusion on an indoor UAV. ICRA (2013)
Niko Sünderhauf, Peter Protzel
Switchable constraints vs. max-mixture models vs. RRR - A comparison of three approaches to robust pose graph SLAM. ICRA (2013)
Peer Neubert, Niko Sünderhauf, Peter Protzel
Appearance change prediction for long-term navigation across seasons. ECMR (2013)
Peer Neubert, Peter Protzel
Evaluating Superpixels in Video: Metrics Beyond Figure-Ground Segmentation. BMVC (2013)
Niko Sünderhauf, Marcus Obst, Sven Lange, Gerd Wanielik, Peter Protzel
Switchable constraints and incremental smoothing for online mitigation of non-line-of-sight and multipath effects. Intelligent Vehicles Symposium (2013)
Niko Sünderhauf, Peter Protzel
Towards a robust back-end for pose graph SLAM. ICRA (2012)
Peer Neubert, Niko Sünderhauf, Peter Protzel
From Saliency Based Image Features Towards Semantic Mapping. ROBOTIK (2012)
Sven Lange, Peter Protzel
Cost-efficient mono-camera tracking system for a multirotor UAV aimed for hardware-in-the-loop experiments. SSD (2012)
Niko Sünderhauf, Peter Protzel
Switchable constraints for robust pose graph SLAM. IROS (2012)
Niko Sünderhauf, Peter Protzel
Towards robust graphical models for GNSS-based localization in urban environments. SSD (2012)
Daniel Wunschel, Sven Lange, Peter Protzel
Motion estimation for autonomous quadrocopter indoor flight. SSD (2012)
Niko Sünderhauf, Marcus Obst, Gerd Wanielik, Peter Protzel
Multipath mitigation in GNSS-based localization using robust optimization. Intelligent Vehicles Symposium (2012)
Niko Sünderhauf, Peter Protzel
BRIEF-Gist - Closing the loop by simple means. IROS (2011)
Niko Sünderhauf, Peter Protzel
Beyond RatSLAM: Improvements to a biologically inspired SLAM system. ETFA (2010)
Niko Sünderhauf, Peer Neubert, Peter Protzel
The causal update filter - A novel biologically inspired filter paradigm for appearance-based SLAM. IROS (2010)
Niko Sünderhauf, Peter Protzel
From Neurons to Robots: Towards Efficient Biologically Inspired Filtering and SLAM. KI (2010)
Niko Sünderhauf, Peter Protzel
Learning from Nature: Biologically Inspired Robot Navigation and SLAM - A Review. Künstliche Intell. 24 (3) (2010)
Sebastian Drews, Sven Lange, Peter Protzel
Validating an Active Stereo System Using USARSim. SIMPAR (2010)
Sven Lange, Niko Sünderhauf, Peter Protzel
A vision based onboard approach for landing and position control of an autonomous multirotor UAV in GPS-denied environments. ICAR (2009)
Niko Sünderhauf, Peter Protzel
Using image profiles and integral images for efficient calculation of sparse optical flow fields. ICAR (2009)
Peer Neubert, Peter Protzel, Teresa A. Vidal-Calleja, Simon Lacroix
A fast visual line segment tracker. ETFA (2008)
Josef Renner, Peter Protzel
Mobile Agenten für den Fernzugriff auf eingebettete Systeme (Mobile Agents for Remote Access to Embedded Systems). Autom. 55 (8) (2007)
Niko Sünderhauf, Thomas Krause, Peter Protzel
Bringing Robotics closer to Students - a Threefold Approach. ICRA (2006)
Niko Sünderhauf, Thomas Krause, Peter Protzel
RoboKing - Bringing Robotics closer to Pupils. ICRA (2005)
Niko Sünderhauf, Kurt Konolige, Simon Lacroix, Peter Protzel
Visual Odometry Using Sparse Bundle Adjustment on an Autonomous Outdoor Vehicle. AMS (2005)
Thomas Krause, Peter Protzel
Einfaches Steuerungskonzept für mobile Roboter in dynamischen unstrukturierten Umgebungen. AMS (2005)
Thomas Krause, Pedro U. Lima, Peter Protzel
Flugregler für ein autonomes Luftschiff. AMS (2003)
Lars Kindermann, Achim Lewandowski, Peter Protzel
Finding the Optimal Continuous Model for Discrete Data by Neural Network Interpolation of Fractional Iteration. ICANN (2002)
Achim Lewandowski, Peter Protzel
Predicting time-varying functions with local models. Intell. Data Anal. 6 (3) (2002)
Achim Lewandowski, Peter Protzel
Predicting Time-Varying Functions with Local Models. IDA (2001)
Achim Lewandowski, Peter Protzel
Approximation of Time-Varying Functions with Local Regression Models. ICANN (2001)
Karim Mohraz, Peter Protzel
FlexNet - A flexible neural network construction algorithm. ESANN (1996)
Joerg Wallrafen, Peter Protzel, Heribert Popp
Genetically Optimized Neural Network Classifiers for Bankruptcy Prediction - An Empirical Study. HICSS (2) (1996)
Thomas Martinetz, Peter Protzel, Otto Gramckow, Günter Sörgel
Neural Network Control for Steel Rolling Mills. SNN Symposium on Neural Networks (1995)

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Publication Activity (10 Years)

Top Topics

Top Venues

Peter Protzel