Multi-Angle Parking Detection System using Mask R-CNN
Tushar Agrawal, Siddhaling Urolagin
Abstract
This research work aims to detect occupied and vacant spaces in the parking lot. We utilized the Mask R-CNN architecture, a deep learning object detection model, for automated recognition of parking spaces, on data obtained from multiple angles. In this work, we discuss in detail, the approach used to create a multi-angle parking detection model and the method of recognizing its validity.
Topics & Concepts
Computer scienceObject detectionArtificial intelligenceComputer visionArchitectureParking lotDeep learningCognitive neuroscience of visual object recognitionWork (physics)Object (grammar)Pattern recognition (psychology)EngineeringGeographyMechanical engineeringArchaeologyCivil engineeringSmart Parking Systems ResearchVehicle License Plate RecognitionAutonomous Vehicle Technology and Safety