Name
Abstract | ||
|---|---|---|
After years of technological advances, parking is still a problem for many people. It is a time-consuming task that we all have to face on a day-by-day basis and it is also a problem for cities, that see how traffic and pollution increases. There have been multiple attempts to find a partial or global technological solution to this problem, ranging from using different types of sensors or cameras for automatically detecting free spaces to collaborative apps that let users share relevant information. In this paper, we give an overview of the methods developed so far, showing their main features, differences, pros, and cons, as well as other factors that may contribute to the success or failure of new proposals that will come in the future. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1007/978-3-319-59513-9_7 | Lecture Notes in Computer Science |
Keywords | DocType | Volume |
Smart city,Parking,Crowdsensing,Computer vision | Conference | 10268 |
ISSN | Citations | PageRank |
0302-9743 | 1 | 0.41 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fernando Enríquez | 1 | 116 | 14.14 |
| Luis Miguel Soria-Morillo | 2 | 47 | 5.99 |
| Juan Antonio Álvarez-García | 3 | 67 | 8.15 |
| Francisco Velasco | 4 | 22 | 4.41 |
| Oscar Déniz | 5 | 3 | 1.12 |