Politi, E., Purucker, P., Larsen, M., Dos Reis, R.J. D., Rajan, R.T., Penna, Duarte Penna, S., Boer, J.-F., Rodosthenous, P., Dimitrakopoulos, G., Varlamis, I. and Höß, A. (2024). Enabling Technologies for the Navigation and Communication of UAS Operating in the Context of BVLOS. MDPI Electronics. [https://www.mdpi.com/2079-9292/13/2/340]
Mohammadkarimi, M., Leus, G., & Rajan, R. T. (2024). Joint ranging and phase offset estimation for multiple drones using ADS-B signatures. IEEE Transactions on Vehicular Technology.. [https://ieeexplore.ieee.org/abstract/document/10258283]
Kok, M., Solin, A., Schön, T. B. (2024). Rao-Blackwellized particle smoothing for simultaneous localization and mapping. Data-Centric Engineering. [https://doi.org/10.1017/dce.2024.12]
Kok, M., Eckhoff, K., Weygers, I. and Seel, T. (2022). Observability of the relative motion from inertial data in kinematic chains. Control Engineering Practice. [https://doi.org/10.1016/j.conengprac.2022.105206]
Viset, F., Helmons, R. and Kok, M. (2022). An Extended Kalman Filter for Magnetic Field SLAM Using Gaussian Process Regression. MDPI Sensors. [https://www.mdpi.com/1424-8220/22/8/2833]
Wahlström, J. and Kok, M. (2022). Three Symmetries for Data-Driven Pedestrian Inertial Navigation. IEEE Sensors. [www.doi.org/10.1109/JSEN.2022.3146646]
Zheng, Y., Wang M. and Thilak Rajan, R. (2022). Decentralized coordination for truck platooning. Computer?Aided Civil and Infrastructure Engineering. []
Menzen, C., Kok M. and Batselier, K. (2021). Alternating linear scheme in a Bayesian framework for low-rank tensor approximation. SIAM Journal on Scientific Computing. [https://doi.org/10.1137/20M1386414]
Conferences
Menzen, C., Memmel, E., Batselier, K. and Kok, M. (2023). Projecting basis functions with tensor networks for Gaussian process regression. 22nd World Congress of the International Federation of Automatic Control (IFAC), Yokohama, Japan. [https://doi.org/10.1016/j.ifacol.2023.10.340]
Zhai, P., and Thilak Rajan, R. (2023). Distributed Gaussian Process Hyperparameter Optimization for Multi-agent Systems. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). []
Li, Z. and Thilak Rajan, R. (2023). Geometry Aware Distributed Kalman Filtering for Affine Formation Control under Observation Losses. 26th International Conference on Information Fusion, Charleston, USA. [https://ieeexplore.ieee.org/abstract/document/10224101]
Viset, F., Helmons R. and Kok, M. (2023). Distributed multi-agent magnetic field norm SLAM with Gaussian processes. 26th International Conference on Information Fusion, Charleston, SC, USA. [https://doi.org/10.23919/FUSION52260.2023.10224135]
Menzen, C., Fetter, M. and Kok, M. (2023). Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression. 26th International Conference on Information Fusion, Charleston, SC, USA. [https://doi.org/10.23919/FUSION52260.2023.10224210]
Edridge, T. and Kok, M. (2023). Mapping the magnetic field using a magnetometer array with noisy input Gaussian process regression. 26th International Conference on Information Fusion, Charleston, SC, USA. [https://doi.org/10.23919/FUSION52260.2023.10224116]
De Bruin, P.E., Kaczmarek, M., Kok, M. and S. Hassan HosseinNia (2023). Evaluation of recursive Bayesian filters for modal contribution estimation in high-tech compliant mechanisms. 22nd World Congress of the International Federation of Automatic Control (IFAC), Yokohama, Japan. [https://www.sciencedirect.com/science/article/pii/S2405896323014738]
Skog, I., Hendeby, G. and Kok, M. (2023). Tightly Integrated Motion Classification and State Estimation in Foot-Mounted Navigation Systems. Proceedings of the 13th International Conference on Indoor Positioning and Indoor Navigation. [www.doi.org/10.1109/IPIN57070.2023.10332538]
Rajan, R. T. (2023). On the Choice of Reference in Offset Calibration. 2023 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). [https://ieeexplore.ieee.org/abstract/document/10403465]
Osman, M., Viset, F. and Kok, M. (2022). Indoor SLAM using a foot-mounted IMU and the local magnetic field. International Conference on Information Fusion, Linköping, Sweden. [www.doi.org/10.23919/FUSION49751.2022.9841252]
Van der Marel, M. and Thilak Rajan, R. (2022). Distributed Kalman filters for relative formation control of multi-agent systems. 30th European Signal Processing Conference (EUSIPCO). []
Blok, J., Poggensee, K.L., Lemus, D., Kok, M., Pangalila, R.F., Vallery, H., Deferme, J., Toussaint-Duyster, L.C.C. and Horemans, H. (2022). Quantification of the development of trunk control in healthy infants using inertial measurement units. Proceedings of 17th International Conference on Rehabilitation Robotics (ICORR). [https://doi.org/10.1109/ICORR55369.2022.9896546]
Keynotes
Kok, M. (2024). Indoor localization using the magnetic field as a source of position information. International Conference on Localization and GNSS. [https://events.tuni.fi/icl-gnss2024/]
Kok, M. (2023). Gaussian processes for indoor localisation using the magnetic field. Workshop on Physics-Informed Machine Learning during the annual Dynamics Research Group Workshop on Structural Dynamics at the University of Sheffield. [https://drg.ac.uk/events/5th-structural-dynamics-workshop]
Journals
Manon Kok, Karsten Eckhoff, Ive Weygers and Thomas Seel, Observability of the relative motion from inertial data in kinematic chains, Control Engineering Practice, Volume 125, 105206, August 2022.
Frida Viset, Rudy Helmons and Manon Kok, An Extended Kalman Filter for Magnetic Field SLAM Using Gaussian Process Regression, MDPI Sensors, 22(8), 2833, 2022.
Johan Wahlström and Manon Kok, Three Symmetries for Data-Driven Pedestrian Inertial Navigation, IEEE Sensors, Volume 22, Issue 6, 2022.
Clara Menzen, Manon Kok and Kim Batselier, Alternating linear scheme in a Bayesian framework for low-rank tensor approximation, SIAM Journal on Scientific Computing, Volume 44, Issue 3, 2022.
Yikai Zheng, Meng Wang and Raj Thilak Rajan. "Decentralized coordination for truck platooning." Computer‐Aided Civil and Infrastructure Engineering 37.15, 2022.
Conference Abstracts & Proceedings
Clara Menzen, Eva Memmel, Kim Batselier and Manon Kok, Projecting basis functions with tensor networks for Gaussian process regression, Accepted to the 22nd World Congress of the International Federation of Automatic Control (IFAC), Yokohama, Japan, July 2023.
Mostafa Osman, Frida Viset and Manon Kok, Indoor SLAM using a foot-mounted IMU and the local magnetic field, Proceedings of the International Conference on Information Fusion, Linköping, Sweden, July 2022.
Peiyuan Zhai, Raj Thilak Rajan, Distributed Gaussian Process Hyperparameter Optimization for Multi-agent Systems, 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Martijn van der Marel, and Raj Thilak Rajan. Distributed Kalman filters for relative formation control of multi-agent systems. 2022 30th European Signal Processing Conference (EUSIPCO). IEEE, 2022.
Zhonggang Li and Raj Thilak Rajan. Geometry Aware Distributed Kalman Filtering for Affine Formation Control under Observation Losses. Accepted to the 26th International Conference on Information Fusion, Charleston, USA, June 2023.
Frida Viset, Rudy Helmons and Manon Kok, Distributed multi-agent magnetic field norm SLAM with Gaussian processes, Accepted to the 26th International Conference on Information Fusion, Charleston, SC, USA, June 2023.
Clara Menzen, Kim Batselier and Manon Kok, Large-scale magnetic field maps using structured kernel interpolation for Gaussian process regression, Accepted to the 26th International Conference on Information Fusion, Charleston, SC, USA, June 2023.
Thomas Edridge and Manon Kok, Mapping the magnetic field using a magnetometer array with noisy input Gaussian process regression, Accepted to the 26th International Conference on Information Fusion, Charleston, SC, USA, June 2023.
