Peter Protzel - RankMe

95 papers A* 9A 7B 8C 10Misc 3Journal 28Unranked 29

Year	Rank	Type	Title / Venue / Authors
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
2024	J	`jnl`	FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification. CoRR Markus Weißflog, Peter Protzel, 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`	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
2023	C	`conf`	FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification. IDEAL Markus Weißflog, Peter Protzel, Peer Neubert
2022	J	`jnl`	A Credible and Robust Approach to Ego-Motion Estimation Using an Automotive Radar. IEEE Robotics Autom. Lett. Karim Haggag, Sven Lange, Tim Pfeifer, Peter Protzel
2022	J	`jnl`	A Credible and Robust approach to Ego-Motion Estimation using an Automotive Radar. CoRR Karim Haggag, Sven Lange, Tim Pfeifer, Peter Protzel
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
2021	—	`conf`	A blind-spot-aware optimization-based planner for safe robot navigation. ECMR Kenny Schlegel, Peter Weissig, Peter Protzel
2021	J	`jnl`	Advancing Mixture Models for Least Squares Optimization. CoRR Tim Pfeifer, Sven Lange, Peter Protzel
2021	J	`jnl`	Advancing Mixture Models for Least Squares Optimization. IEEE Robotics Autom. Lett. Tim Pfeifer, Sven Lange, Peter Protzel
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	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	C	`conf`	Optimization based 3D Multi-Object Tracking using Camera and Radar Data. IV Johannes Pöschmann, Tim Pfeifer, 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
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	A	`conf`	Factor Graph based 3D Multi-Object Tracking in Point Clouds. IROS Johannes Pöschmann, Tim Pfeifer, Peter Protzel
2020	J	`jnl`	Factor Graph based 3D Multi-Object Tracking in Point Clouds. CoRR Johannes Pöschmann, Tim Pfeifer, 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	A*	`conf`	Expectation-Maximization for Adaptive Mixture Models in Graph Optimization. ICRA Tim Pfeifer, Peter Protzel
2019	J	`jnl`	Incrementally Learned Mixture Models for GNSS Localization. CoRR Tim Pfeifer, Peter Protzel
2019	C	`conf`	Incrementally learned Mixture Models for GNSS Localization. IV Tim Pfeifer, 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	J	`jnl`	Expectation-Maximization for Adaptive Mixture Models in Graph Optimization. CoRR Tim Pfeifer, Peter Protzel
2018	A	`conf`	Robust Sensor Fusion with Self-Tuning Mixture Models. IROS Tim Pfeifer, Peter Protzel
2018	Misc	`conf`	Towards Hypervector Representations for Learning and Planning with Schemas. KI Peer Neubert, Peter Protzel
2017	—	`conf`	Dynamic Covariance Estimation - A parameter free approach to robust Sensor Fusion. MFI Tim Pfeifer, Sven Lange, Peter Protzel
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`	TUC-Bot: A Microcontroller Based Robot for Education. RiE Sven Lange, Peter Weissig, Andreas Uhlig, 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
2016	C	`conf`	Robust factor graph optimization - a comparison for sensor fusion applications. ETFA Tim Pfeifer, Peter Weissig, Sven Lange, 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	—	`conf`	Deducing human emotions by robots: Computing basic non-verbal expressions of performed actions during a work task. ISIC Martina Truschzinski, Helge U. Dinkelbach, Nicholas H. Müller, Peter Ohler, Fred Hamke, 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
2013	A*	`conf`	Incremental smoothing vs. filtering for sensor fusion on an indoor UAV. ICRA Sven Lange, Niko Sünderhauf, Peter Protzel
2013	B	`conf`	Switchable constraints and incremental smoothing for online mitigation of non-line-of-sight and multipath effects. Intelligent Vehicles Symposium Niko Sünderhauf, Marcus Obst, Sven Lange, Gerd Wanielik, Peter Protzel
2013	A*	`conf`	Switchable constraints vs. max-mixture models vs. RRR - A comparison of three approaches to robust pose graph SLAM. ICRA Niko Sünderhauf, Peter Protzel
2012	—	`conf`	Cost-efficient mono-camera tracking system for a multirotor UAV aimed for hardware-in-the-loop experiments. SSD Sven Lange, Peter Protzel
2012	—	`conf`	From Saliency Based Image Features Towards Semantic Mapping. ROBOTIK Peer Neubert, Niko Sünderhauf, Peter Protzel
2012	—	`conf`	Motion estimation for autonomous quadrocopter indoor flight. SSD Daniel Wunschel, Sven Lange, Peter Protzel
2012	B	`conf`	Multipath mitigation in GNSS-based localization using robust optimization. Intelligent Vehicles Symposium Niko Sünderhauf, Marcus Obst, Gerd Wanielik, Peter Protzel
2012	A	`conf`	Switchable constraints for robust pose graph SLAM. IROS Niko Sünderhauf, Peter Protzel
2012	A*	`conf`	Towards a robust back-end for pose graph SLAM. ICRA Niko Sünderhauf, Peter Protzel
2012	—	`conf`	Towards robust graphical models for GNSS-based localization in urban environments. SSD Niko Sünderhauf, Peter Protzel
2011	A	`conf`	BRIEF-Gist - Closing the loop by simple means. IROS Niko Sünderhauf, Peter Protzel
2010	C	`conf`	Beyond RatSLAM: Improvements to a biologically inspired SLAM system. ETFA Niko Sünderhauf, Peter Protzel
2010	Misc	`conf`	From Neurons to Robots: Towards Efficient Biologically Inspired Filtering and SLAM. KI Niko Sünderhauf, Peter Protzel
2010	J	`jnl`	Learning from Nature: Biologically Inspired Robot Navigation and SLAM - A Review. Künstliche Intell. 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
2010	—	`conf`	Validating an Active Stereo System Using USARSim. SIMPAR Sebastian Drews, Sven Lange, Peter Protzel
2009	—	`conf`	A vision based onboard approach for landing and position control of an autonomous multirotor UAV in GPS-denied environments. ICAR Sven Lange, Niko Sünderhauf, Peter Protzel
2009	—	`conf`	Using image profiles and integral images for efficient calculation of sparse optical flow fields. ICAR Niko Sünderhauf, Peter Protzel
2008	C	`conf`	A fast visual line segment tracker. ETFA Peer Neubert, Peter Protzel, Teresa A. Vidal-Calleja, Simon Lacroix
2007	J	`jnl`	Mobile Agenten für den Fernzugriff auf eingebettete Systeme (Mobile Agents for Remote Access to Embedded Systems). Autom. Josef Renner, Peter Protzel
2006	A*	`conf`	Bringing Robotics closer to Students - a Threefold Approach. ICRA Niko Sünderhauf, Thomas Krause, Peter Protzel
2005	—	`conf`	Einfaches Steuerungskonzept für mobile Roboter in dynamischen unstrukturierten Umgebungen. AMS Thomas Krause, Peter Protzel
2005	A*	`conf`	RoboKing - Bringing Robotics closer to Pupils. ICRA Niko Sünderhauf, Thomas Krause, Peter Protzel
2005	—	`conf`	Visual Odometry Using Sparse Bundle Adjustment on an Autonomous Outdoor Vehicle. AMS Niko Sünderhauf, Kurt Konolige, Simon Lacroix, Peter Protzel
2003	—	`conf`	Flugregler für ein autonomes Luftschiff. AMS Thomas Krause, Pedro U. Lima, Peter Protzel
2002	C	`conf`	Finding the Optimal Continuous Model for Discrete Data by Neural Network Interpolation of Fractional Iteration. ICANN Lars Kindermann, Achim Lewandowski, Peter Protzel
2002	J	`jnl`	Predicting time-varying functions with local models. Intell. Data Anal. Achim Lewandowski, Peter Protzel
2001	C	`conf`	Approximation of Time-Varying Functions with Local Regression Models. ICANN Achim Lewandowski, Peter Protzel
2001	B	`conf`	Predicting Time-Varying Functions with Local Models. IDA Achim Lewandowski, Peter Protzel
1996	B	`conf`	FlexNet - A flexible neural network construction algorithm. ESANN Karim Mohraz, Peter Protzel
1996	—	`conf`	Genetically Optimized Neural Network Classifiers for Bankruptcy Prediction - An Empirical Study. HICSS (2) Joerg Wallrafen, Peter Protzel, Heribert Popp
1995	—	`conf`	Neural Network Control for Steel Rolling Mills. SNN Symposium on Neural Networks Thomas Martinetz, Peter Protzel, Otto Gramckow, Günter Sörgel
1987	—	`—`	Zuverlässigkeit von Nahbereichskommunikationsnetzen. Peter Protzel
1984	—	`conf`	Leistungsmerkmale dienstintegrierender Digitalnetze. GI Jahrestagung Harro L. Hartmann, Peter Protzel, H. A. Ebbecke