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562 Publikationen

2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2943046 OA
Lian Sang, C., et al., 2020. Identification of NLOS and Multi-path Conditions in UWB Localization using Machine Learning Methods. Applied Sciences, 10(11): 3980.
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2020 | Datenpublikation | PUB-ID: 2943719 OA
Lian Sang, C., et al., 2020. Supplementary Research Data for the Paper entitled Identification of NLOS and Multi-path Conditions in UWB Localization using Machine Learning Methods, Bielefeld University.
PUB | Dateien verfügbar | DOI
 
2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2941831 OA
Ostrau, C., et al., 2020. Benchmarking of Neuromorphic Hardware Systems. In Neuro-inspired Computational Elements Workshop (NICE ’20), March 17–20, 2020, Heidelberg, Germany. International Conference Proceeding Series (ICPS). Association for Computing Machinery (ACM).
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2020 | Zeitschriftenaufsatz | E-Veröff. vor dem Druck | PUB-ID: 2942756
Meyer, H.G., et al., 2020. Resource-efficient bio-inspired visual processing on the hexapod walking robot HECTOR. PloS one, 15(4).
PUB | DOI | WoS | PubMed | Europe PMC
 
2020 | Konferenzbeitrag | Angenommen | PUB-ID: 2943500
Schilling, M., Konen, K., & Korthals, T., Accepted. Modular Deep Reinforcement Learning for Emergent Locomotion on a Six-Legged Robot. Presented at the 2020 8th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob), New York City.
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2020 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2941646 OA
Pilz, S., et al., 2020. Accelerating Binary String Comparisons with a Scalable, Streaming-Based System Architecture Based on FPGAs. Algorithms, 13(2): 47.
PUB | PDF | DOI | Download (ext.) | WoS
 
2020 | Preprint | Eingereicht | PUB-ID: 2942322
Ostrau, C., et al., Submitted. Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware. arXiv:2004.01656.
PUB | arXiv
 
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937505
Lian Sang, C., et al., 2019. A Comparative Study of UWB-based True-Range Positioning Algorithms using Experimental Data . Presented at the IEEE 16th Workshop on Positioning, Navigation and Communications (WPNC'19), Bremen, Germany.
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2019 | Datenpublikation | PUB-ID: 2939390 OA
Lian Sang, C., et al., 2019. Supplementary Experimental Data for the Paper entitled Numerical and Experimental Evaluation of Error Estimation for Two-Way Ranging Methods, Bielefeld University.
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2019 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2933490 OA
Lian Sang, C., et al., 2019. Numerical and Experimental Evaluation of Error Estimation for Two-Way Ranging Methods. Sensors, 19(3): 616.
PUB | PDF | DOI | Download (ext.) | WoS | PubMed | Europe PMC
 
2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2941207 OA
Ostrau, C., et al., Accepted. Comparing Neuromorphic Systems by Solving Sudoku Problems. In Conference Proceedings: 2019 International Conference on High Performance Computing & Simulation (HPCS). Piscataway, NJ: IEEE.
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2019 | Kurzbeitrag Konferenz / Poster | Angenommen | PUB-ID: 2935328 OA
Ostrau, C., et al., Accepted. Benchmarking and Characterization of event-based Neuromorphic Hardware. Presented at the FastPath 2019 - International Workshop on Performance Analysis of Machine Learning Systems, Madison, Wisconsin, USA.
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2019 | Zeitschriftenaufsatz | PUB-ID: 2937519 OA
Korthals, T., et al., 2019. Multisensory Assisted In-hand Manipulation of Objects with a Dexterous Hand. 2019 IEEE International Conference on Robotics and Automation Workshop on Integrating Vision and Touch for Multimodal and Cross-modal Perception, (ViTac) 2019, Montreal, CA, May 20-25, 2019, , p 1-2.
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2019 | Zeitschriftenaufsatz | PUB-ID: 2937517 OA
Konen, K., et al., 2019. Biologically-Inspired Deep Reinforcement Learning of Modular Control for a Six-Legged Robot. 2019 IEEE International Conference on Robotics and Automation Workshop on Learning Legged Locomotion Workshop, (ICRA) 2019, Montreal, CA, May 20-25, 2019, , p 1-3.
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2019 | Bielefelder E-Dissertation | PUB-ID: 2939716 OA
Hörmann, T., 2019. Design and Application of Wireless Body Sensors, Bielefeld: Universität Bielefeld.
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2019 | Preprint | Veröffentlicht | PUB-ID: 2938837
Korthals, T., Schilling, M., & Leitner, J., 2019. A Perceived Environment Design using a Multi-Modal Variational Autoencoder for learning Active-Sensing.
PUB | Download (ext.) | arXiv
 
2019 | Konferenzbeitrag | Angenommen | PUB-ID: 2934957
Korthals, T., et al., Accepted. Multi-Modal Generative Models for Learning Epistemic Active Sensing. In 2019 IEEE International Conference on Robotics and Automation. Piscataway, NJ: IEEE.
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2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2939486
Adams, M., et al., 2019. Towards an SSVEP-BCI Controlled Smart Home. In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC). Piscataway, NJ: IEEE.
PUB | DOI
 
2019 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2937493
Lian Sang, C., et al., 2019. A Bidirectional Object Tracking and Navigation System using a True-Range Multilateration Method. Presented at the Tenth International Conference on Indoor Positioning and Indoor Navigation (IPIN), Pisa, Italy.
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2019 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2937362
Homburg, J.D., et al., 2019. Constraint Exploration of Convolutional Network Architectures with Neuroevolution. In I. Rojas, G. Joya, & A. Catala, eds. Advances in Computational Intelligence. IWANN 2019. Lecture Notes in Computer Science. no.11507 Cham: Springer, pp. 735-746.
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