ML Classification of Car Parking with Implicit Interaction on the Driver's Smartphone

被引：6

作者：

Bassetti, Enrico ^{[1
]}

Luciani, Alessio ^{[1
]}

Panizzi, Emanuele ^{[1
]}

机构：

[1] Sapienza Univ Rome, Dept Comp Sci, Rome, Italy

来源：

HUMAN-COMPUTER INTERACTION, INTERACT 2021, PT III | 2021年 / 12934卷

关键词：

Smartphone; Parking; Sensing; Implicit interaction; Machine learning; Curb; Parallel; Angle parking; Smart city; Context aware;

D O I：

10.1007/978-3-030-85613-7_21

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 crowd-sourced 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.

引用

页码：291 / 299

页数：9

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