ACADSTAFF UGM
| Title | : | A Systematic Review of Machine-vision-based Smart Parking Systems |
| Author | : |
MUHAMMAD ZAINAL A (1) Prof. Dr.-Ing. Mhd. Reza M. I. Pulungan, S.Si., M.Sc. (2) |
| Date | : | 0 2020 |
| Keyword | : | Smart Parking System, Machine Vision,Parking Space Detection, Vehicle Detection, Video Processing Smart Parking System, Machine Vision,Parking Space Detection, Vehicle Detection, Video Processing |
| Abstract | : | The smart city concept development, particularly in smart parking systems, has not solved a problem in metropolitan or urban areas. In those areas, the population continues to rise, resulting in high demand for private vehicles and parking spaces. Finding a parking space is the most common issue a driver encounters, especially during peak hours. During peak hours, the difficulty arises as many people look around to find vacant parking spaces at once, which causes many negative impacts on cities and drivers themselves, such as pollution, traffic congestion, traffic accidents, waste of time and fuel, emotions, and so on. As a solution, a smart parking system exists to equip parking lots with many different sensors to automatically detect free parking spaces that would guide drivers to find the nearest parking space as efficiently as possible. An effective smart parking system can solve this problem and make better use of parking resources. However, many smart parking systems still use embedded sensors that are expensive for installation and inefficient. This paper presents a review of the existing approaches to the smart parking system. This paper focuses on machine-vision-based technology used for smart parking systems and highlights its main features, advantages, and disadvantages. |
| Group of Knowledge | : | Ilmu Komputer |
| Original Language | : | English |
| Level | : | Nasional |
| Status | : |
Published
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