| Title |
Camera-Based Smart Parking System Using Perspective Transformation |
| ID_Doc |
41867 |
| Authors |
Liu, B; Lai, H; Kan, S; Chan, C |
| Title |
Camera-Based Smart Parking System Using Perspective Transformation |
| Year |
2023 |
| Published |
Smart Cities, 6, 2 |
| DOI |
10.3390/smartcities6020056 |
| Abstract |
The concept of the "smart city" has emerged with the advancement of technology, but some facilities are not sufficiently intelligent, such as parking lots. Hence, this paper proposes an inexpensive and plug-to-play camera-based smart parking system for airports. The system utilizes inverse perspective mapping (IPM) to provide an aerial view image of the parking lot, which is then processed to extract parking space information. The system also includes a guidance system to assist drivers in finding available parking spaces. The system is simulated on a 3D scene based on the parking lot of Macao International Airport. In the experiment, our system achieved an accuracy rate of 97.03% and a mean distance error of 8.59 pixels. This research study shows the potential of enhancing parking lots using only cameras as data collectors, and the results show that the system is capable of providing accurate and useful information. It performs well in parking lots with open space, in particular. Moreover, it is an economical solution for implementing a smart parking lot. |
| Author Keywords |
smart city; smart parking; inverse perspective mapping; YOLOv5; Canny edge detector; Dijkstra algorithm |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000978213600001 |
| WoS Category |
Engineering, Electrical & Electronic; Urban Studies |
| Research Area |
Engineering; Urban Studies |
| PDF |
https://www.mdpi.com/2624-6511/6/2/56/pdf?version=1681864841
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