On-street parking places parallel to the curb have variable lengths, depending on the size of the car that emptied the place. Thus, a Smart Parking system should publish such places only to drivers whose car is shorter than the available parking length. We developed a crowdsourced Smart Parking app, based on implicit interaction, intending to publish an available parking spot only to drivers whose car can fit the existing place. This app detects the type of parking (parallel vs angle or perpendicular) using machine learning on the driver’s smartphone and considers the length of the cars involved.
ML Classification of Car Parking with Implicit Interaction on the Driver’s Smartphone / Bassetti, Enrico; Luciani, Alessio; Panizzi, Emanuele. - 12934:(2021), pp. 291-299. (Intervento presentato al convegno 18th IFIP TC 13 International Conference, Bari, Italy, August 30 – September 3, 2021 tenutosi a Bari; Italy) [10.1007/978-3-030-85613-7_21].
ML Classification of Car Parking with Implicit Interaction on the Driver’s Smartphone
Bassetti, Enrico;Panizzi, Emanuele
2021
Abstract
On-street parking places parallel to the curb have variable lengths, depending on the size of the car that emptied the place. Thus, a Smart Parking system should publish such places only to drivers whose car is shorter than the available parking length. We developed a crowdsourced Smart Parking app, based on implicit interaction, intending to publish an available parking spot only to drivers whose car can fit the existing place. This app detects the type of parking (parallel vs angle or perpendicular) using machine learning on the driver’s smartphone and considers the length of the cars involved.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
