| An Introduction to Hyperdimensional Computing for Robotics P Neubert, S Schubert, P Protzel KI - Künstliche Intelligenz, 1-12, 2019 | 102 | 2019 |
| Circular Convolutional Neural Networks for Panoramic Images and Laser Data S Schubert, P Neubert, J Pöschmann, P Protzel 2019 IEEE Intelligent Vehicles Symposium (IV), 2019 | 75 | 2019 |
| Visual Place Recognition: A Tutorial S Schubert, P Neubert, S Garg, M Milford, T Fischer IEEE Robotics & Automation Magazine (RAM), 2-16, 2023 | 55* | 2023 |
| A neurologically inspired sequence processing model for mobile robot place recognition P Neubert, S Schubert, P Protzel IEEE Robotics and Automation Letters 4 (4), 3200-3207, 2019 | 52 | 2019 |
| Hyperdimensional computing as a framework for systematic aggregation of image descriptors P Neubert, S Schubert Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 50 | 2021 |
| Vector Semantic Representations as Descriptors for Visual Place Recognition. P Neubert, S Schubert, K Schlegel, P Protzel Robotics: Science and Systems, 1-11, 2021 | 36 | 2021 |
| Unsupervised Learning Methods for Visual Place Recognition in Discretely and Continuously Changing Environments S Schubert, P Neubert, P Protzel International Conference on Robotics and Automation (ICRA), 2020 | 36 | 2020 |
| Sampling-based methods for visual navigation in 3D maps by synthesizing depth images P Neubert, S Schubert, P Protzel 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 33 | 2017 |
| Learning vector symbolic architectures for reactive robot behaviours P Neubert, S Schubert, P Protzel International Conference on Intelligent Robots and Systems (IROS) Workshop …, 2016 | 25 | 2016 |
| What makes visual place recognition easy or hard? S Schubert, P Neubert arXiv preprint arXiv:2106.12671, 2021 | 24 | 2021 |
| Object detection routine for material streams combining RGB and hyperspectral reflectance data based on guided object localization V Sudharshan, P Seidel, P Ghamisi, S Lorenz, M Fuchs, JS Fareedh, ... IEEE Sensors Journal 20 (19), 11490-11498, 2020 | 22 | 2020 |
| Fast and Memory Efficient Graph Optimization via ICM for Visual Place Recognition. S Schubert, P Neubert, P Protzel Robotics: Science and Systems 2, 2021 | 18 | 2021 |
| How to build and customize a high-resolution 3D laserscanner using off-the-shelf components S Schubert, P Neubert, P Protzel Towards Autonomous Robotic Systems: 17th Annual Conference, TAROS 2016 …, 2016 | 14 | 2016 |
| SoftMP: Attentive feature pooling for joint local feature detection and description for place recognition in changing environments F Yuan, P Neubert, S Schubert, P Protzel 2021 IEEE International Conference on Robotics and Automation (ICRA), 5847-5853, 2021 | 10 | 2021 |
| Two Autonomous Robots for the DLR SpaceBot Cup – Lessons Learned from 60 Minutes on the Moon S Lange, D Wunschel, S Schubert, T Pfeifer, P Weissig, A Uhlig, ... International Symposium on Robotics (ISR), 2016 | 10 | 2016 |
| Exploiting intra Database Similarities for Selection of Place Recognition Candidates in Changing Environments P Neubert, S Schubert, P Protzel International Conference on Computer Vision and Pattern Recognition (CVPR …, 2015 | 10 | 2015 |
| Graph-Based Non-Linear Least Squares Optimization for Visual Place Recognition in Changing Environments S Schubert, P Neubert, P Protzel IEEE Robotics and Automation Letters (RA-L) 6 (2), 811-818, 2021 | 9 | 2021 |
| Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition S Schubert, P Neubert, P Protzel International Conference on Robotics and Automation (ICRA), 2021 | 8 | 2021 |
| Towards combining a neocortex model with entorhinal grid cells for mobile robot localization S Schubert, P Neubert, P Protzel 2019 European Conference on Mobile Robotics (ECMR), 2019 | 8 | 2019 |
| Synthesized semantic views for mobile robot localization J Pöschmann, P Neubert, S Schubert, P Protzel 2017 European Conference on Mobile Robots (ECMR), 1-6, 2017 | 8 | 2017 |
