Finding Vacant Parking Plots using AI

Project Code :TCMAPY188

Objective

In this project, an around view monitoring system is developed for detecting parking spaces and the algorithms are used to analyze the vacancy of the spaces using AI methods. The framework of the algorithm comprises two main stages: parking space detection and space occupancy classification.

Abstract

Accelerated urbanization and the ensuing rapid increase in urban populations led to the need for a tremendous number of parking spaces. Automated parking systems coupled with new parking lot layouts can effectively address the need. However, most automated parking systems available on the market today use ultrasonic sensors to detect vacant parking spaces. One limitation of this method is that a reference vehicle must be parked in an adjacent space, and the accuracy of distance information is highly dependent on the positioning of the reference vehicle.

To overcome this limitation, an around view monitoring-based method for detecting parking spaces and algorithms analyzing the vacancy of the space are proposed in this study. The framework of the algorithm comprises two main stages: parking space detection and space occupancy classification. In addition, a highly robust analysis method is proposed to classify parking space occupancy.

Keywords: Around View Monitoring; Parking Space Detection; Vacancy Analysis.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.