This paper addresses vehicle tracking using an approach based on the \mathbf{DAB }+ standard, which is becoming increasingly popular in private vehicles as an alternative to the old FM radio standard. The digital standard allows the use of different contents useful to the driver. On the other hand, the bidirectional channel of the \mathbf{DAB }+ standard could allow the vehicle to transmit generic information. The aim of this work is to transmit some parameters of the radio channel to allow the identification and tracking of vehicle position. By means of a neural network it is possible to reconstruct the path of the vehicles through a maximum likelihood comparison between data contained in a data-set and the information offered by the vehicles in real time. Experimental tests conducted on the road have shown how it is possible to obtain a high accuracy of vehicle traffic in a transparent manner and with respect for the processing of personal data in accordance with current European legislation.
A DAB+ Approach for Vehicular Tracking / Bertolusso, M.; Spanu, M.; Fadda, M.; Giusto, D. D.. - 2021-:(2021), pp. 1-5. (Intervento presentato al convegno 16th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2021 tenutosi a chn nel 2021) [10.1109/BMSB53066.2021.9547130].
A DAB+ Approach for Vehicular Tracking
Fadda M.;
2021-01-01
Abstract
This paper addresses vehicle tracking using an approach based on the \mathbf{DAB }+ standard, which is becoming increasingly popular in private vehicles as an alternative to the old FM radio standard. The digital standard allows the use of different contents useful to the driver. On the other hand, the bidirectional channel of the \mathbf{DAB }+ standard could allow the vehicle to transmit generic information. The aim of this work is to transmit some parameters of the radio channel to allow the identification and tracking of vehicle position. By means of a neural network it is possible to reconstruct the path of the vehicles through a maximum likelihood comparison between data contained in a data-set and the information offered by the vehicles in real time. Experimental tests conducted on the road have shown how it is possible to obtain a high accuracy of vehicle traffic in a transparent manner and with respect for the processing of personal data in accordance with current European legislation.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
