Analyzing parking lots vacancy detection algorithms using Mask R-CNN implementations

Parking is a very common problem that the modern society is facing nowadays. Numerous countries are working to manage their current transportation systems and road infrastructure to enhance traffic flows, mobility, and safety. The city of Timisoara has already taken the first steps towards this in the past, but the city is still afflicted by excessive traffic. The aim of this paper is to present, analyze and compare two algorithms for detecting occupied and vacant spaces in the parking place using the Mask R-CNN implementations. The potential implications include a drastic reduction in parking time and, consequently, overall traffic.