![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
Peter Protzel
Person information
- affiliation: Fakultät für Elektrotechnik und Informationstechnik, Technische Universität Chemnitz
Refine list
![note](https://dblp.org/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j13]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): 2686-2693 (2024) - [i14]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. CoRR abs/2403.10283 (2024) - [i13]Markus Weißflog, Peter Protzel, Peer Neubert:
FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification. CoRR abs/2407.12375 (2024) - [i12]Markus Weißflog, Stefan Schubert, Peter Protzel, Peer Neubert:
Towards Revisiting Visual Place Recognition for Joining Submaps in Multimap SLAM. CoRR abs/2407.12408 (2024) - 2023
- [c62]Markus Weißflog
, Peter Protzel
, Peer Neubert
:
FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification. IDEAL 2023: 418-430 - 2022
- [j12]Kenny Schlegel
, Peer Neubert
, Peter Protzel
:
A comparison of vector symbolic architectures. Artif. Intell. Rev. 55(6): 4523-4555 (2022) - [j11]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): 6020-6027 (2022) - [c61]Kenny Schlegel, Peer Neubert, Peter Protzel:
HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing. IJCNN 2022: 1-8 - [i11]Kenny Schlegel, Peer Neubert, Peter Protzel:
HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing. CoRR abs/2202.08055 (2022) - [i10]Karim Haggag, Sven Lange, Tim Pfeifer, Peter Protzel:
A Credible and Robust approach to Ego-Motion Estimation using an Automotive Radar. CoRR abs/2204.04149 (2022) - 2021
- [j10]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): 811-818 (2021) - [j9]Peer Neubert
, Stefan Schubert
, Peter Protzel
:
Resolving Place Recognition Inconsistencies Using Intra-Set Similarities. IEEE Robotics Autom. Lett. 6(2): 2084-2090 (2021) - [j8]Tim Pfeifer
, Sven Lange
, Peter Protzel
:
Advancing Mixture Models for Least Squares Optimization. IEEE Robotics Autom. Lett. 6(2): 3941-3948 (2021) - [c60]Kenny Schlegel, Peter Weissig, Peter Protzel:
A blind-spot-aware optimization-based planner for safe robot navigation. ECMR 2021: 1-8 - [c59]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: 5847-5853 - [c58]Stefan Schubert, Peer Neubert, Peter Protzel:
Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition. ICRA 2021: 5861-5867 - [c57]Kenny Schlegel, Florian Mirus, Peer Neubert, Peter Protzel:
Multivariate Time Series Analysis for Driving Style Classification using Neural Networks and Hyperdimensional Computing. IV 2021: 602-609 - [c56]Johannes Pöschmann, Tim Pfeifer, Peter Protzel:
Optimization based 3D Multi-Object Tracking using Camera and Radar Data. IV 2021: 1116-1123 - [c55]Peer Neubert, Stefan Schubert, Kenny Schlegel, Peter Protzel:
Vector Semantic Representations as Descriptors for Visual Place Recognition. Robotics: Science and Systems 2021 - [c54]Stefan Schubert, Peer Neubert, Peter Protzel:
Fast and Memory Efficient Graph Optimization via ICM for Visual Place Recognition. Robotics: Science and Systems 2021 - [i9]Tim Pfeifer, Sven Lange, Peter Protzel:
Advancing Mixture Models for Least Squares Optimization. CoRR abs/2103.02472 (2021) - [i8]Stefan Schubert, Peer Neubert, Peter Protzel:
Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition. CoRR abs/2103.08366 (2021) - 2020
- [c53]Stefan Schubert, Peer Neubert, Peter Protzel:
Unsupervised Learning Methods for Visual Place Recognition in Discretely and Continuously Changing Environments. ICRA 2020: 4372-4378 - [c52]Johannes Pöschmann, Tim Pfeifer
, Peter Protzel:
Factor Graph based 3D Multi-Object Tracking in Point Clouds. IROS 2020: 10343-10350 - [c51]Kenny Schlegel
, Peer Neubert
, Peter Protzel
:
Building a Navigation System for a Shopping Assistant Robot from Off-the-Shelf Components. TAROS 2020: 103-115 - [c50]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: 209-213 - [i7]Stefan Schubert, Peer Neubert, Peter Protzel:
Unsupervised Learning Methods for Visual Place Recognition in Discretely and Continuously Changing Environments. CoRR abs/2001.08960 (2020) - [i6]Kenny Schlegel
, Peer Neubert, Peter Protzel:
A comparison of Vector Symbolic Architectures. CoRR abs/2001.11797 (2020) - [i5]Johannes Pöschmann, Tim Pfeifer, Peter Protzel:
Factor Graph based 3D Multi-Object Tracking in Point Clouds. CoRR abs/2008.05309 (2020) - [i4]Stefan Schubert, Peer Neubert, Peter Protzel:
Graph-based non-linear least squares optimization for visual place recognition in changing environments. CoRR abs/2012.14766 (2020)
2010 – 2019
- 2019
- [j7]Peer Neubert
, Stefan Schubert, Peter Protzel:
An Introduction to Hyperdimensional Computing for Robotics. Künstliche Intell. 33(4): 319-330 (2019) - [j6]Peer Neubert
, Stefan Schubert
, Peter Protzel
:
A Neurologically Inspired Sequence Processing Model for Mobile Robot Place Recognition. IEEE Robotics Autom. Lett. 4(4): 3200-3207 (2019) - [c49]Stefan Schubert, Peer Neubert, Peter Protzel:
Towards combining a neocortex model with entorhinal grid cells for mobile robot localization. ECMR 2019: 1-8 - [c48]Tim Pfeifer
, Peter Protzel:
Expectation-Maximization for Adaptive Mixture Models in Graph Optimization. ICRA 2019: 3151-3157 - [c47]Stefan Schubert, Peer Neubert, Johannes Pöschmann, Peter Protzel:
Circular Convolutional Neural Networks for Panoramic Images and Laser Data. IV 2019: 653-660 - [c46]Tim Pfeifer
, Peter Protzel:
Incrementally learned Mixture Models for GNSS Localization. IV 2019: 1131-1138 - [i3]Tim Pfeifer, Peter Protzel:
Incrementally Learned Mixture Models for GNSS Localization. CoRR abs/1904.13279 (2019) - 2018
- [c45]Tim Pfeifer
, Peter Protzel:
Robust Sensor Fusion with Self-Tuning Mixture Models. IROS 2018: 3678-3685 - [c44]Peer Neubert, Subutai Ahmad, Peter Protzel:
A Sequence-Based Neuronal Model for Mobile Robot Localization. KI 2018: 117-130 - [c43]Peer Neubert, Peter Protzel:
Towards Hypervector Representations for Learning and Planning with Schemas. KI 2018: 182-189 - [i2]Tim Pfeifer, Peter Protzel:
Expectation-Maximization for Adaptive Mixture Models in Graph Optimization. CoRR abs/1811.04748 (2018) - 2017
- [c42]Johannes Pöschmann, Peer Neubert, Stefan Schubert, Peter Protzel:
Synthesized semantic views for mobile robot localization. ECMR 2017: 1-6 - [c41]Peer Neubert, Stefan Schubert, Peter Protzel:
Sampling-based methods for visual navigation in 3D maps by synthesizing depth images. IROS 2017: 2492-2498 - [c40]Tim Pfeifer
, Sven Lange
, Peter Protzel:
Dynamic Covariance Estimation - A parameter free approach to robust Sensor Fusion. MFI 2017: 359-365 - [c39]Sven Lange
, Peter Weissig, Andreas Uhlig, Peter Protzel:
TUC-Bot: A Microcontroller Based Robot for Education. RiE 2017: 201-213 - [c38]Stefan Schubert, Peer Neubert, Peter Protzel:
Towards Camera Based Navigation in 3D Maps by Synthesizing Depth Images. TAROS 2017: 601-616 - 2016
- [j5]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): 484-491 (2016) - [c37]Tim Pfeifer
, Peter Weissig, Sven Lange, Peter Protzel:
Robust factor graph optimization - a comparison for sensor fusion applications. ETFA 2016: 1-4 - [c36]Stefan Schubert, Peer Neubert, Peter Protzel:
How to Build and Customize a High-Resolution 3D Laserscanner Using Off-the-shelf Components. TAROS 2016: 314-326 - 2015
- [j4]Peer Neubert, Niko Sünderhauf
, Peter Protzel:
Superpixel-based appearance change prediction for long-term navigation across seasons. Robotics Auton. Syst. 69: 15-27 (2015) - [c35]Peer Neubert, Peter Protzel:
Local region detector + CNN based landmarks for practical place recognition in changing environments. ECMR 2015: 1-6 - [c34]Peer Neubert, Peter Protzel:
Benchmarking superpixel descriptors. EUSIPCO 2015: 614-618 - 2014
- [c33]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: 1342-1347 - [c32]Peer Neubert, Peter Protzel:
Compact Watershed and Preemptive SLIC: On Improving Trade-offs of Superpixel Segmentation Algorithms. ICPR 2014: 996-1001 - [i1]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 abs/1402.3213 (2014) - 2013
- [c31]Peer Neubert, Peter Protzel:
Evaluating Superpixels in Video: Metrics Beyond Figure-Ground Segmentation. BMVC 2013 - [c30]Peer Neubert, Niko Sünderhauf
, Peter Protzel:
Appearance change prediction for long-term navigation across seasons. ECMR 2013: 198-203 - [c29]Sven Lange, Niko Sünderhauf
, Peter Protzel:
Incremental smoothing vs. filtering for sensor fusion on an indoor UAV. ICRA 2013: 1773-1778 - [c28]Niko Sünderhauf
, Peter Protzel:
Switchable constraints vs. max-mixture models vs. RRR - A comparison of three approaches to robust pose graph SLAM. ICRA 2013: 5198-5203 - [c27]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: 262-268 - 2012
- [c26]Sven Lange, Peter Protzel:
Cost-efficient mono-camera tracking system for a multirotor UAV aimed for hardware-in-the-loop experiments. SSD 2012: 1-6 - [c25]Niko Sünderhauf
, Peter Protzel:
Towards robust graphical models for GNSS-based localization in urban environments. SSD 2012: 1-6 - [c24]Daniel Wunschel, Sven Lange, Peter Protzel:
Motion estimation for autonomous quadrocopter indoor flight. SSD 2012: 1-6 - [c23]Niko Sünderhauf
, Peter Protzel:
Towards a robust back-end for pose graph SLAM. ICRA 2012: 1254-1261 - [c22]Niko Sünderhauf
, Peter Protzel:
Switchable constraints for robust pose graph SLAM. IROS 2012: 1879-1884 - [c21]Niko Sünderhauf
, Marcus Obst, Gerd Wanielik, Peter Protzel:
Multipath mitigation in GNSS-based localization using robust optimization. Intelligent Vehicles Symposium 2012: 784-789 - [c20]Peer Neubert, Niko Sünderhauf, Peter Protzel:
From Saliency Based Image Features Towards Semantic Mapping. ROBOTIK 2012 - 2011
- [c19]Niko Sünderhauf
, Peter Protzel:
BRIEF-Gist - Closing the loop by simple means. IROS 2011: 1234-1241 - 2010
- [j3]Niko Sünderhauf
, Peter Protzel:
Learning from Nature: Biologically Inspired Robot Navigation and SLAM - A Review. Künstliche Intell. 24(3): 215-221 (2010) - [c18]Niko Sünderhauf
, Peter Protzel:
Beyond RatSLAM: Improvements to a biologically inspired SLAM system. ETFA 2010: 1-8 - [c17]Niko Sünderhauf
, Peer Neubert, Peter Protzel:
The causal update filter - A novel biologically inspired filter paradigm for appearance-based SLAM. IROS 2010: 3969-3974 - [c16]Niko Sünderhauf
, Peter Protzel:
From Neurons to Robots: Towards Efficient Biologically Inspired Filtering and SLAM. KI 2010: 341-348 - [c15]Sebastian Drews, Sven Lange, Peter Protzel:
Validating an Active Stereo System Using USARSim. SIMPAR 2010: 387-398
2000 – 2009
- 2009
- [c14]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: 1-6 - [c13]Niko Sünderhauf, Peter Protzel:
Using image profiles and integral images for efficient calculation of sparse optical flow fields. ICAR 2009: 1-6 - 2008
- [c12]Peer Neubert, Peter Protzel, Teresa A. Vidal-Calleja
, Simon Lacroix:
A fast visual line segment tracker. ETFA 2008: 353-360 - 2007
- [j2]Josef Renner, Peter Protzel:
Mobile Agenten für den Fernzugriff auf eingebettete Systeme (Mobile Agents for Remote Access to Embedded Systems). Autom. 55(8): 394-403 (2007) - 2006
- [c11]Niko Sünderhauf
, Thomas Krause, Peter Protzel:
Bringing Robotics closer to Students - a Threefold Approach. ICRA 2006: 339-344 - 2005
- [c10]Niko Sünderhauf
, Kurt Konolige, Simon Lacroix, Peter Protzel:
Visual Odometry Using Sparse Bundle Adjustment on an Autonomous Outdoor Vehicle. AMS 2005: 157-163 - [c9]Thomas Krause, Peter Protzel:
Einfaches Steuerungskonzept für mobile Roboter in dynamischen unstrukturierten Umgebungen. AMS 2005: 287-293 - [c8]Niko Sünderhauf
, Thomas Krause, Peter Protzel:
RoboKing - Bringing Robotics closer to Pupils. ICRA 2005: 4254-4259 - 2003
- [c7]Thomas Krause, Pedro U. Lima, Peter Protzel:
Flugregler für ein autonomes Luftschiff. AMS 2003: 83-90 - 2002
- [j1]Achim Lewandowski, Peter Protzel:
Predicting time-varying functions with local models. Intell. Data Anal. 6(3): 257-265 (2002) - [c6]Lars Kindermann, Achim Lewandowski, Peter Protzel:
Finding the Optimal Continuous Model for Discrete Data by Neural Network Interpolation of Fractional Iteration. ICANN 2002: 1094-1099 - 2001
- [c5]Achim Lewandowski, Peter Protzel:
Approximation of Time-Varying Functions with Local Regression Models. ICANN 2001: 237-246 - [c4]Achim Lewandowski, Peter Protzel:
Predicting Time-Varying Functions with Local Models. IDA 2001: 44-52
1990 – 1999
- 1996
- [c3]Karim Mohraz, Peter Protzel:
FlexNet - A flexible neural network construction algorithm. ESANN 1996 - [c2]Joerg Wallrafen, Peter Protzel, Heribert Popp:
Genetically Optimized Neural Network Classifiers for Bankruptcy Prediction - An Empirical Study. HICSS (2) 1996: 419-426 - 1995
- [c1]Thomas Martinetz, Peter Protzel, Otto Gramckow, Günter Sörgel:
Neural Network Control for Steel Rolling Mills. SNN Symposium on Neural Networks 1995: 280-286
1980 – 1989
- 1987
- [b1]Peter Protzel:
Zuverlässigkeit von Nahbereichskommunikationsnetzen. Braunschweig University of Technology, Germany, VDI-Verlag 1987, ISBN 978-3-18-147110-4, pp. 1-182
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-25 19:09 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint