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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Factor Graph Fusion of Raw GNSS Sensing with IMU and Lidar for Precise Robot Localization without a Base Station
Jonas Beuchert‚ Marco Camurri and Maurice Fallon
In arXiv preprint arXiv:2209.14649. 2023.
accepted to the 2023 IEEE International Conference on Robotics and Automation (ICRA)
Details about Factor Graph Fusion of Raw GNSS Sensing with IMU and Lidar for Precise Robot Localization without a Base Station | BibTeX data for Factor Graph Fusion of Raw GNSS Sensing with IMU and Lidar for Precise Robot Localization without a Base Station | DOI (10.48550/arXiv.2209.14649) | Link to Factor Graph Fusion of Raw GNSS Sensing with IMU and Lidar for Precise Robot Localization without a Base Station
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SNAPPER GPS: Open Hardware for Energy−Efficient‚ Low−Cost Wildlife Location Tracking with Snapshot GNSS
Jonas Beuchert‚ Amanda Matthes and Alex Rogers
In Journal of Open Hardware. Vol. 7. No. 1. 2023.
Details about SNAPPER GPS: Open Hardware for Energy−Efficient‚ Low−Cost Wildlife Location Tracking with Snapshot GNSS | BibTeX data for SNAPPER GPS: Open Hardware for Energy−Efficient‚ Low−Cost Wildlife Location Tracking with Snapshot GNSS | DOI (10.5334/joh.48) | Link to SNAPPER GPS: Open Hardware for Energy−Efficient‚ Low−Cost Wildlife Location Tracking with Snapshot GNSS
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SnapperGPS: Deployment of a low−cost snapshot GNSS receiver to track loggerhead sea turtles
Amanda Matthes‚ Jonas Beuchert‚ Alasdair Davies‚ Juan Patino−Martinez and Alex Rogers
In Proceedings of the 40th International Sea Turtle Symposium (ISTS40). International Sea Turtle Society. 2022.
Details about SnapperGPS: Deployment of a low−cost snapshot GNSS receiver to track loggerhead sea turtles | BibTeX data for SnapperGPS: Deployment of a low−cost snapshot GNSS receiver to track loggerhead sea turtles | Link to SnapperGPS: Deployment of a low−cost snapshot GNSS receiver to track loggerhead sea turtles