Jonas Beuchert
Jonas Beuchert
Department of Computer Science,
Robert Hooke Building
Directions Postal Address
Interests
Jonas is working on a project that aims at developing open-source hardware and software for low-cost low-energy wildlife tracking. For this, he develops signal processing and optimisation algorithms based on probabilistic models. They can robustly localise receivers using just a few milliseconds of data recorded in environments that are known to be challenging for GPS.
Jonas is also looking into the tight integration of GPS into navigation systems of mobile platforms, e.g., robots. Specifically, he focusses on probabilistic models that can be used in incremental factor graph optimisation.
Biography
Jonas is an electrical engineer who was educated with a strong focus on automation and control. He has knowledge in areas such as signal processing, sensor fusion, classic and modern control concepts, modelling, simulation, optimisation, and artificial intelligence. He had the chance to apply his skills in the biomedical industry as well as the aerospace industry while working with The Boeing Company on machine learning for production optimisation. His Master's thesis was concerned with efficient communication in sensor networks. Later, he joined the University of Oxford to pursue a Doctor of Philosophy in the field of autonomous intelligent machines and systems. Currently, he is trying to improve GPS positioning for low-cost low-energy receivers using probabilistic signal processing. He is also interested in the tight integration of GPS into navigation systems of robots.
Selected Publications
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SnapperGPS: Algorithms for Energy−Efficient Low−Cost Location Estimation Using GNSS Signal Snapshots
Jonas Beuchert and Alex Rogers
In Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems. Pages 165–177. New York‚ NY‚ USA. November, 2021. Association for Computing Machinery.
Details about SnapperGPS: Algorithms for Energy−Efficient Low−Cost Location Estimation Using GNSS Signal Snapshots | BibTeX data for SnapperGPS: Algorithms for Energy−Efficient Low−Cost Location Estimation Using GNSS Signal Snapshots | DOI (10.1145/3485730.3485931) | Link to SnapperGPS: Algorithms for Energy−Efficient Low−Cost Location Estimation Using GNSS Signal Snapshots
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SnapperGPS: Collection of GNSS Signal Snapshots
Jonas Beuchert and Alex Rogers
2021.
University of Oxford‚ Oxford‚ UK.
Details about SnapperGPS: Collection of GNSS Signal Snapshots | BibTeX data for SnapperGPS: Collection of GNSS Signal Snapshots | DOI (10.5287/bodleian:eXrp1xydM) | Link to SnapperGPS: Collection of GNSS Signal Snapshots
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Hierarchical Event−Triggered Learning for Cyclically Excited Systems With Application to Wireless Sensor Networks
J. Beuchert‚ F. Solowjow‚ J. Raisch‚ S. Trimpe and T. Seel
In IEEE Control Systems Letters. Vol. 4. No. 1. Pages 103−108. 2020.
Details about Hierarchical Event−Triggered Learning for Cyclically Excited Systems With Application to Wireless Sensor Networks | BibTeX data for Hierarchical Event−Triggered Learning for Cyclically Excited Systems With Application to Wireless Sensor Networks | DOI (10.1109/LCSYS.2019.2922005) | Link to Hierarchical Event−Triggered Learning for Cyclically Excited Systems With Application to Wireless Sensor Networks