Kumar, Amit K. and Assaf, Mansour and Groza, Voicu Z. and Petriu, Emil M. (2021) Intelligent Parking Vehicle Identification and Classification System. [Conference Proceedings]
Full text not available from this repository.Abstract
In this paper, we propose an intelligent system for identification and classification of parking vehicles. The proposed system uses artificial intelligence and pattern matching to identify and classify various types of vehicles for optimizing the use of parking lot space, monitor incoming and outgoing vehicles, and increase profit. The system uses image processing and feature extraction techniques to extract features such as vehicle dimensions and estimated weights to determine the vehicles eligibility to park in a specific parking lot given some restrictions and constraints. A prototype was developed and implemented in MATLAB/SIMULINK, and we validated all algorithms for accuracy purposes considering different classes of the vehicle. Preliminary results have shown that the system is effective and promising in different conditions.
| Item Type: | Conference Proceedings |
|---|---|
| Subjects: | T Technology > T Technology (General) T Technology > TL Motor vehicles. Aeronautics. Astronautics |
| Divisions: | Faculty of Science, Technology and Environment (FSTE) > School of Computing, Information and Mathematical Sciences |
| Depositing User: | Mansour Assaf |
| Date Deposited: | 19 Jul 2021 01:25 |
| Last Modified: | 28 Mar 2022 01:24 |
| URI: | https://repository.usp.ac.fj/id/eprint/12853 |
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