A Comprehensive Study of Real-Time Vacant Parking Space Detection Towards the need of a Robust Model

Abstract

Detection of vacant parking space is becoming a
challenging task gradually. Space utilization and management of
vehicle space is now a demandable field of research. Searching
for an empty parking space in congested traffic is a timeconsuming process. The existing vacant parking space detection
methods are not robust or generalized for images captured from
different camera viewpoints. Finding a proper parking space in a
busy city is really a challenging issue and people are facing this
problem on a daily basis. The main purpose of this research is to
comprehensively discuss the previous researches of vacant
parking space detection and compare them from different
aspects. Methods used in previous researches are descriptively
discussed along with their advantages and disadvantages. The
frameworks of previous researches were compared on six
generalized phases and the experimental results are compared in
terms of dataset, accuracy, processing time and other
performance measures. This research also focuses on the
challenges of vision-based vacant parking space detection which
will contribute to future researches and researchers can work to
overcome these challenges.