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Advisor(s)
Abstract(s)
Autonomous driving (AD) is advancing rapidly, but enhancing situational awareness beyond the internal sensors (cameras, radar, and Lidar) requires cooperative perception services enabled by Vehicle-to-Everything (V2X) links. However, some vehicles can inject incorrect information, either intentionally or by hardware malfunction. Wireless positioning offers a set of physical-layer mechanisms, such as Angle-of-Arrival (AoA) and RSS-based ranging, that can verify the correctness of shared data, particularly position data. We introduce Cooperative Wireless Positioning System (CoWiPS), an innovative mechanism in which a set of cooperating vehicles cooperate to estimate the position of a Vehicle-of-Interest. Our positioning solution achieves accurate position estimations, with 70.16% accuracy within a 10m error margin under 0dB amplitude noise variance, and 50.01% accuracy under 5dB variance.
Description
Keywords
Cooperative wireless positioning V2X Angle of arrival MUSIC
Citation
Lam, L.P., & Santos, P.M. (September 2–5, 2024). CoWiPS: Cooperative Wireless Positioning to Identify Position Mis-reports in Vehicular Scenarios [Conference session]. EE pimrc - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Valencia, Spain.