Quantifying the Trajectory Tracking Accuracy in UGVs: The Role of Traffic Scheduling in Wi-Fi-Enabled Time-Sensitive Networking
- DOI
- 10.3390/s26030881
- Published
- 2026-01-29
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26030881,
title = {Quantifying the Trajectory Tracking Accuracy in UGVs: The Role of Traffic Scheduling in Wi-Fi-Enabled Time-Sensitive Networking},
author = {Elena Ferrari and Alberto Morato and Federico Tramarin and Claudio Zunino and Matteo Bertocco},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26030881},
url = {https://doi.org/10.3390/s26030881}
}RIS
TY - JOUR TI - Quantifying the Trajectory Tracking Accuracy in UGVs: The Role of Traffic Scheduling in Wi-Fi-Enabled Time-Sensitive Networking AU - Elena Ferrari AU - Alberto Morato AU - Federico Tramarin AU - Claudio Zunino AU - Matteo Bertocco PY - 2026 JO - Sensors DO - 10.3390/s26030881 UR - https://doi.org/10.3390/s26030881 ER -
APA
Ferrari, E., Morato, A., Tramarin, F., Zunino, C., & Bertocco, M. (2026). Quantifying the Trajectory Tracking Accuracy in UGVs: The Role of Traffic Scheduling in Wi-Fi-Enabled Time-Sensitive Networking. Sensors. https://doi.org/10.3390/s26030881
Source records
- crossref · retrieved 2026-11-10T15:52:01.341Z