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Jörg Conradt
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Journal Articles
- 2022
- [j30]Guillermo Gallego
, Tobi Delbrück
Event-Based Vision: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 154-180 (2022) - [j29]Yulia Sandamirskaya
Neuromorphic computing hardware and neural architectures for robotics. Sci. Robotics 7(67) (2022) - [j28]Fraser L. A. Macdonald
Neuromorphic Tactile Edge Orientation Classification in an Unsupervised Spiking Neural Network. Sensors 22(18): 6998 (2022) - [j27]Guang Chen
Neuromorphic Vision-Based Fall Localization in Event Streams With Temporal-Spatial Attention Weighted Network. IEEE Trans. Cybern. 52(9): 9251-9262 (2022) - [j26]Guang Chen
NeuroIV: Neuromorphic Vision Meets Intelligent Vehicle Towards Safe Driving With a New Database and Baseline Evaluations. IEEE Trans. Intell. Transp. Syst. 23(2): 1171-1183 (2022) - 2021
- [j25]Guang Chen
NeuroAED: Towards Efficient Abnormal Event Detection in Visual Surveillance With Neuromorphic Vision Sensor. IEEE Trans. Inf. Forensics Secur. 16: 923-936 (2021) - [j24]Anastasios N. Angelopoulos
Event-Based Near-Eye Gaze Tracking Beyond 10, 000 Hz. IEEE Trans. Vis. Comput. Graph. 27(5): 2577-2586 (2021) - 2020
- [j23]Ibrahim Youssef
A Neuro-Inspired Computational Model for a Visually Guided Robotic Lamprey Using Frame and Event Based Cameras. IEEE Robotics Autom. Lett. 5(2): 2395-2402 (2020) - [j22]Guang Chen
Event-Based Neuromorphic Vision for Autonomous Driving: A Paradigm Shift for Bio-Inspired Visual Sensing and Perception. IEEE Signal Process. Mag. 37(4): 34-49 (2020) - 2019
- [j21]Guang Chen, Hu Cao
Multi-Cue Event Information Fusion for Pedestrian Detection With Neuromorphic Vision Sensors. Frontiers Neurorobotics 13: 10 (2019) - [j20]Florian Mirus, Peter Blouw, Terrence C. Stewart, Jörg Conradt:
An Investigation of Vehicle Behavior Prediction Using a Vector Power Representation to Encode Spatial Positions of Multiple Objects and Neural Networks. Frontiers Neurorobotics 13: 84 (2019) - [j19]Indar Sugiarto, Cristian Axenie
FPGA-Based Hardware Accelerator for an Embedded Factor Graph with Configurable Optimization. J. Circuits Syst. Comput. 28(2): 1950031:1-1950031:30 (2019) - [j18]Zied Tayeb
Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals. Sensors 19(1): 210 (2019) - [j17]Guang Chen
Toward Brain-Inspired Learning With the Neuromorphic Snake-Like Robot and the Neurorobotic Platform. IEEE Trans. Cogn. Dev. Syst. 11(1): 1-12 (2019) - 2018
- [j16]Raoul Hoffmann, Christl Lauterbach, Jörg Conradt, Axel Steinhage:
Estimating a person's age from walking over a sensor floor. Comput. Biol. Medicine 95: 271-276 (2018) - [j15]Florian Mirus, Cristian Axenie
Neuromorphic sensorimotor adaptation for robotic mobile manipulation: From sensing to behaviour. Cogn. Syst. Res. 50: 52-66 (2018) - [j14]Lukas Everding, Jörg Conradt:
Low-Latency Line Tracking Using Event-Based Dynamic Vision Sensors. Frontiers Neurorobotics 12: 4 (2018) - [j13]Indar Sugiarto, Jörg Conradt:
Modular design of a factor-graph-based inference engine on a System-On-Chip (SoC). Microprocess. Microsystems 60: 53-64 (2018) - 2017
- [j12]Moritz B. Milde
Obstacle Avoidance and Target Acquisition for Robot Navigation Using a Mixed Signal Analog/Digital Neuromorphic Processing System. Frontiers Neurorobotics 11: 28 (2017) - [j11]Indar Sugiarto
A model-based approach to robot kinematics and control using discrete factor graphs with belief propagation. Robotics Auton. Syst. 91: 234-246 (2017) - 2016
- [j10]Marcello Mulas, Nicolai Waniek, Jörg Conradt:
Hebbian Plasticity Realigns Grid Cell Activity with External Sensory Cues in Continuous Attractor Models. Frontiers Comput. Neurosci. 10: 13 (2016) - [j9]Terrence C. Stewart, Ashley Kleinhans, Andrew Mundy, Jörg Conradt:
Serendipitous Offline Learning in a Neuromorphic Robot. Frontiers Neurorobotics 10: 1 (2016) - [j8]Mohsen Firouzi, Jörg Conradt:
Asynchronous Event-based Cooperative Stereo Matching Using Neuromorphic Silicon Retinas. Neural Process. Lett. 43(2): 311-326 (2016) - [j7]Christoph Richter
Musculoskeletal Robots: Scalability in Neural Control. IEEE Robotics Autom. Mag. 23(4): 128-137 (2016) - [j6]Cristian Axenie
A Self-Synthesis Approach to Perceptual Learning for Multisensory Fusion in Robotics. Sensors 16(10): 1751 (2016) - 2015
- [j5]Jeffrey L. Krichmar
Neurobiologically Inspired Robotics: Enhanced Autonomy through Neuromorphic Cognition. Neural Networks 72: 1-2 (2015) - [j4]Jörg Conradt, Francesco Galluppi
Trainable sensorimotor mapping in a neuromorphic robot. Robotics Auton. Syst. 71: 60-68 (2015) - [j3]Cristian Axenie
Cortically inspired sensor fusion network for mobile robot egomotion estimation. Robotics Auton. Syst. 71: 69-82 (2015) - 2002
- [j2]Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata, Jörg Conradt, Stefan Schaal:
Statistical Learning for Humanoid Robots. Auton. Robots 12(1): 55-69 (2002) - 2001
- [j1]Tomohiro Shibata, Sethu Vijayakumar, Jörg Conradt, Stefan Schaal:
Biomimetic Oculomotor Control. Adapt. Behav. 9(3-4): 189-207 (2001)
Conference and Workshop Papers
- 2023
- [c55]Juan Pablo Romero Bermudez
A High-Throughput Low-Latency Interface Board for SpiNNaker-in-the-loop Real-Time Systems. ICONS 2023: 28:1-28:8 - [c54]Jens Egholm Pedersen
Translation and Scale Invariance for Event-Based Object tracking. NICE 2023: 79-85 - [c53]Jens Egholm Pedersen
AEStream: Accelerated event-based processing with coroutines. NICE 2023: 86-91 - 2022
- [c52]James Paul Turner
Event-based dataset for classification and pose estimation. NICE 2022: 101-103 - 2020
- [c51]Florian Mirus, Terrence C. Stewart, Jörg Conradt:
Detection of abnormal driving situations using distributed representations and unsupervised learning. ESANN 2020: 363-368 - [c50]Florian Mirus, Terrence C. Stewart, Jörg Conradt:
The Importance of Balanced Data Sets: Analyzing a Vehicle Trajectory Prediction Model based on Neural Networks and Distributed Representations. IJCNN 2020: 1-8 - [c49]Florian Mirus, Terrence C. Stewart, Jörg Conradt:
Analyzing the Capacity of Distributed Vector Representations to Encode Spatial Information. IJCNN 2020: 1-7 - [c48]Benjamin Ward-Cherrier
A Miniaturised Neuromorphic Tactile Sensor integrated with an Anthropomorphic Robot Hand. IROS 2020: 9883-9889 - 2019
- [c47]Peer Lucas, Satoshi Oota, Jörg Conradt, Alois C. Knoll
Development of the Neurorobotic Mouse. CBS 2019: 299-304 - [c46]Florian Mirus, Peter Blouw, Terrence C. Stewart, Jörg Conradt:
Predicting vehicle behaviour using LSTMs and a vector power representation for spatial positions. ESANN 2019 - [c45]Florian Mirus, Benjamin Zorn, Jörg Conradt:
Short-term trajectory planning using reinforcement learning within a neuromorphic control architecture. ESANN 2019 - [c44]Florian Mirus
A Mixture-of-Experts Model for Vehicle Prediction Using an Online Learning Approach. ICANN (3) 2019: 456-471 - 2018
- [c43]Florian Mirus, Terrence C. Stewart, Jörg Conradt:
Towards cognitive automotive environment modelling: reasoning based on vector representations. ESANN 2018 - [c42]Jacques Kaiser, Jakob Weinland, Philip Keller, Lea Steffen, Juan Camilo Vasquez Tieck
Microsaccades for Neuromorphic Stereo Vision. ICANN (1) 2018: 244-252 - [c41]Alberto Patiño-Saucedo
Tropical Fruits Classification Using an AlexNet-Type Convolutional Neural Network and Image Augmentation. ICONIP (4) 2018: 371-379 - [c40]Hans-Jörg Vögel, Christian Süß, Thomas Hubregtsen, Elisabeth André
Emotion-Awareness for Intelligent Vehicle Assistants: A Research Agenda. SEFAIAS@ICSE 2018: 11-15 - [c39]Raphaela Kreiser, Matteo Cartiglia, Julien N. P. Martel, Jörg Conradt, Yulia Sandamirskaya:
A Neuromorphic Approach to Path Integration: A Head-Direction Spiking Neural Network with Vision-driven Reset. ISCAS 2018: 1-5 - [c38]Julien N. P. Martel, Jonathan Müller, Jörg Conradt, Yulia Sandamirskaya:
An Active Approach to Solving the Stereo Matching Problem using Event-Based Sensors. ISCAS 2018: 1-5 - [c37]Julien N. P. Martel, Jonathan Müller, Jörg Conradt, Yulia Sandamirskaya:
Live Demonstration: An Active System for Depth Reconstruction using Event-Based Sensors. ISCAS 2018: 1- - 2017
- [c36]Gereon Hinz, Guang Chen, Muhammad Aafaque, Florian Röhrbein
Online Multi-object Tracking-by-Clustering for Intelligent Transportation System with Neuromorphic Vision Sensor. KI 2017: 142-154 - [c35]Georgi Dikov, Mohsen Firouzi, Florian Röhrbein
Spiking Cooperative Stereo-Matching at 2 ms Latency with Neuromorphic Hardware. Living Machines 2017: 119-137 - [c34]Zied Tayeb
Decoding of motor imagery movements from EEG signals using SpiNNaker neuromorphic hardware. NER 2017: 263-266 - [c33]Hermann Blum, Alexander Dietmüller
A neuromorphic controller for a robotic vehicle equipped with a dynamic vision sensor. Robotics: Science and Systems 2017 - 2016
- [c32]Lukas Everding, Lennart Walger, Viviane S. Ghaderi, Jörg Conradt:
A mobility device for the blind with improved vertical resolution using dynamic vision sensors. HealthCom 2016: 1-5 - [c31]Raoul Hoffmann, Christl Lauterbach, Axel Techmer, Jörg Conradt, Axel Steinhage:
Recognising Gait Patterns of People in Risk of Falling with a Multi-layer Perceptron. ITIB (2) 2016: 87-97 - 2015
- [c30]Viviane S. Ghaderi, Marcello Mulas, Vinicius Felisberto Santos Pereira, Lukas Everding, David Weikersdorfer, Jörg Conradt:
A wearable mobility device for the blind using retina-inspired dynamic vision sensors. EMBC 2015: 3371-3374 - [c29]Philipp Klein
Scene stitching with event-driven sensors on a robot head platform. ISCAS 2015: 2421-2424 - [c28]Marcello Mulas, Manxiu Zhan, Jörg Conradt:
Integration of Biological Neural Models for the Control of Eye Movements in a Robotic Head. Living Machines 2015: 231-242 - [c27]Cristian Axenie
Learning Sensory Correlations for 3D Egomotion Estimation. Living Machines 2015: 329-338 - [c26]Nicolai Waniek, Johannes Biedermann, Jörg Conradt:
Cooperative SLAM on small mobile robots. ROBIO 2015: 1810-1815 - [c25]Jörg Conradt:
On-board real-time optic-flow for miniature event-based vision sensors. ROBIO 2015: 1858-1863 - 2014
- [c24]Nicolai Waniek, Simon Bremer, Jörg Conradt:
Real-Time Anomaly Detection with a Growing Neural Gas. ICANN 2014: 97-104 - [c23]Indar Sugiarto
Factor Graph Inference Engine on the SpiNNaker Neural Computing System. ICANN 2014: 161-168 - [c22]Mohsen Firouzi, Saeed Bagheri Shouraki, Jörg Conradt:
Sensorimotor Control Learning Using a New Adaptive Spiking Neuro-Fuzzy Machine, Spike-IDS and STDP. ICANN 2014: 379-386 - [c21]Mohsen Firouzi, Stefan Glasauer
Flexible Cue Integration by Line Attraction Dynamics and Divisive Normalization. ICANN 2014: 691-698 - [c20]Rui Araújo, Nicolai Waniek, Jörg Conradt:
Development of a Dynamically Extendable SpiNNaker Chip Computing Module. ICANN 2014: 821-828 - [c19]David Weikersdorfer, David B. Adrian
Event-based 3D SLAM with a depth-augmented dynamic vision sensor. ICRA 2014: 359-364 - [c18]Francesco Galluppi
Event-based neural computing on an autonomous mobile platform. ICRA 2014: 2862-2867 - 2013
- [c17]Raoul Hoffmann, David Weikersdorfer, Jörg Conradt:
Autonomous indoor exploration with an event-based visual SLAM system. ECMR 2013: 38-43 - [c16]Cristian Axenie
Cortically Inspired Sensor Fusion Network for Mobile Robot Heading Estimation. ICANN 2013: 240-247 - [c15]Yulia Sandamirskaya
Learning Sensorimotor Transformations with Dynamic Neural Fields. ICANN 2013: 248-255 - [c14]Christian Denk, Francisco Llobet-Blandino, Francesco Galluppi
Real-Time Interface Board for Closed-Loop Robotic Tasks on the SpiNNaker Neural Computing System. ICANN 2013: 467-474 - [c13]David Weikersdorfer, Raoul Hoffmann, Jörg Conradt:
Simultaneous Localization and Mapping for Event-Based Vision Systems. ICVS 2013: 133-142 - 2012
- [c12]Francesco Galluppi
Live Demo: Spiking ratSLAM: Rat hippocampus cells in spiking neural hardware. BioCAS 2012: 91 - [c11]Georg R. Müller, Jörg Conradt:
Self-calibrating Marker Tracking in 3D with Event-Based Vision Sensors. ICANN (1) 2012: 313-321 - [c10]David Weikersdorfer, Jörg Conradt:
Event-based particle filtering for robot self-localization. ROBIO 2012: 866-870 - 2011
- [c9]Georg R. Müller, Jörg Conradt:
A miniature low-power sensor system for real time 2D visual tracking of LED markers. ROBIO 2011: 2429-2434 - 2009
- [c8]Jörg Conradt, Raphael Berner, Matthew Cook, Tobi Delbrück:
An embedded AER dynamic vision sensor for low-latency pole balancing. ICCV Workshops 2009: 780-785 - [c7]Jörg Conradt, Matthew Cook, Raphael Berner, Patrick Lichtsteiner, Rodney J. Douglas, Tobi Delbrück:
A Pencil Balancing Robot using a Pair of AER Dynamic Vision Sensors. ISCAS 2009: 781-784 - [c6]Jörg Conradt, Matthew Cook, Raphael Berner, Patrick Lichtsteiner, Rodney J. Douglas, Tobi Delbrück:
Live Demonstration: A Pencil Balancing Robot using a Pair of AER Dynamic Vision Sensors. ISCAS 2009: 785 - 2002
- [c5]Jörg Conradt, Pascal Simon, Michel Pescatore, Paul F. M. J. Verschure:
Saliency Maps Operating on Stereo Images Detect Landmarks and Their Distance. ICANN 2002: 795-800 - [c4]Cyrill Planta, Jörg Conradt, Adrian Jencik, Paul F. M. J. Verschure:
A Neural Model of the Fly Visual System Applied to Navigational Tasks. ICANN 2002: 1268-1274 - [c3]Kynan Eng, Andreas Bäbler, Ulysses Bernardet, Mark Blanchard, Adam Briska, Jörg Conradt, Márcio O. Costa, Tobi Delbrück, Rodney J. Douglas, Klaus Hepp, David Klein, Jônatas Manzolli, Matti Mintz, Thomas Netter, Fabian Roth, Ueli Rutishauser, Klaus Wassermann
Ada: constructing a synthetic organism. IROS 2002: 1808-1813 - 2001
- [c2]Sethu Vijayakumar, Jörg Conradt, Tomohiro Shibata, Stefan Schaal:
Overt visual attention for a humanoid robot. IROS 2001: 2332-2337 - 2000
- [c1]Jörg Conradt, Gaurav Tevatia, Sethu Vijayakumar, Stefan Schaal:
On-line Learning for Humanoid Robot Systems. ICML 2000: 191-198
Informal and Other Publications
- 2024
- [i7]Jens Egholm Pedersen, Jörg Conradt, Tony Lindeberg:
Covariant spatio-temporal receptive fields for neuromorphic computing. CoRR abs/2405.00318 (2024) - 2022
- [i6]Jens Egholm Pedersen, Jörg Conradt:
AEStream: Accelerated event-based processing with coroutines. CoRR abs/2212.10719 (2022) - 2020
- [i5]Anastasios N. Angelopoulos, Julien N. P. Martel, Amit P. S. Kohli, Jörg Conradt, Gordon Wetzstein:
Event Based, Near Eye Gaze Tracking Beyond 10, 000Hz. CoRR abs/2004.03577 (2020) - [i4]Florian Mirus, Terrence C. Stewart, Jörg Conradt:
Analyzing the Capacity of Distributed Vector Representations to Encode Spatial Information. CoRR abs/2010.00055 (2020) - [i3]Florian Mirus, Terrence C. Stewart, Jörg Conradt:
The Importance of Balanced Data Sets: Analyzing a Vehicle Trajectory Prediction Model based on Neural Networks and Distributed Representations. CoRR abs/2010.00084 (2020) - 2019
- [i2]Guillermo Gallego, Tobi Delbrück, Garrick Orchard, Chiara Bartolozzi, Brian Taba, Andrea Censi, Stefan Leutenegger, Andrew J. Davison, Jörg Conradt, Kostas Daniilidis, Davide Scaramuzza:
Event-based Vision: A Survey. CoRR abs/1904.08405 (2019) - 2016
- [i1]Christoph Richter, Sören Jentzsch, Rafael Hostettler, Jesús Alberto Garrido, Eduardo Ros, Alois C. Knoll, Florian Röhrbein, Patrick van der Smagt, Jörg Conradt:
Scalability in Neural Control of Musculoskeletal Robots. CoRR abs/1601.04862 (2016)
Coauthor Index
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last updated on 2024-10-07 21:24 CEST by the dblp team
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