An Intelligent Auto Parking System for Vehicles
- Authors
- Anastasia Razinkova1; 조현찬; 전홍태
- Issue Date
- 2012
- Publisher
- 한국지능시스템학회
- Keywords
- Autoparking assistance system; fuzzy logic; intelligent systems
- Citation
- International Journal of Fuzzy Logic and Intelligent systems, v.12, no.3, pp 226 - 231
- Pages
- 6
- Journal Title
- International Journal of Fuzzy Logic and Intelligent systems
- Volume
- 12
- Number
- 3
- Start Page
- 226
- End Page
- 231
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/35432
- ISSN
- 1598-2645
- Abstract
- Autoparking assistant systems are a new and very promising area in automotive systems engineering. Since the traffic in modern cities becomes more intense, it is getting harder for a driver. Those systems are necessary for an inexperienced one to find a proper parking slot, or to park in a narrow parking slot without damaging his car or the vehicles around. The implementation of autoparking assistant systems may reduce drivers’ stress and make parking generally more comfortable. In addition, such system can be extremely useful for senior or disabled people or for drivers with reduced mobility. The implementation of autoparking assistant systems may increase the safety of the parking, and therefore the development of such systems is a highly-demanded task.
We introduce an intelligent autoparking system that automatically generates trajectory for parking using a fuzzy logic. This paper consists of three parts. In first part we introduce trajectory generation method for parallel parking without collisions. Fuzzy-logic based trajectory generation algorithm is described in second part. Experimental results presented in the third part of the paper prove effectiveness of the proposed method.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of ICT Engineering > School of Electrical and Electronics Engineering > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/35432)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.