We introduced the TALLA system (TDoA Localization for Large-scale Areas) based on TDoA techniques. The TALLA user, equipped with a tag, is tracked through areas of arbitrary width, unlike the state of the art in which localization takes place in a specific “cell” delimited by anchors. In TALLA, these are not necessarily in range with respect to each other; their temporal synchronization takes place in multi-hop using a protocol that guarantees positioning accuracy equal to traditional systems. The work received the “best paper award” at IPIN’19, a reference conference for the localization community.
TALLA was used within more complex systems. First in logistics, implemented in the EIT D-TWIN project. In addition, TALLA was used for the collection of visitor trajectories at the MUSE in Trento, enabling research on mobility patterns in collaboration with UNIMI.
One of the greater issues affecting infrastructure-based systems (including TALLA) is the deployment of anchors and the accurate acquisition of their coordinates. A system was developed (and validated in CLOVES) for the automatic determination of the position of the anchors (self-localization) in large areas.
TALLA: Large-scale TDoA Localization with Ultra-wideband Radios
D. Vecchia, P. Corbalán, T. Istomin, G.P. Picco. International Conference on Indoor Positioning and Indoor Navigation (IPIN), 30 September 30 - October 3, 2019, Pisa, Italy. https://doi.org/10.1109/IPIN.2019.8911790
Best Paper Award
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Self-Localization of Ultra-Wideband Anchors: From Theory to Practice
P. Corbalán, G.P. Picco, M. Coors, V. Jain. In IEEE Access, vol. 11, March 2023. https://doi.org/10.1109/ACCESS.2023.3261567
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Poster abstract: Cloves: A Large-scale Ultra-wideband Testbed
D. Molteni, G.P. Picco, M. Trobinger, D. Vecchia. ACM Conference on Embedded Networked Sensor Systems (SenSys), Boston (USA), November 6-9, 2022. https://doi.org/10.1145/3560905.3568072
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