A Novel Approach for Vehicle Type Classification and Speed Prediction Using Deep Learning
E. S. Madhan, S. Neelakandan, R Annamalai
Abstract
In Vehicles automation system, Classification and speed detection has become an important research challenge in road safety and intelligent transportation system. Many systems like pattern recognition, image processing and machine learning technologies have overcome numerous hindrances to accomplish this goal. In this paper, we demonstrate a speed detection system and vehicle type classification founded on deep learning technique. Moreover, we built up Modular Neural Network (MNN) architecture, advancement algorithm and its parameters are acquired by training dataset. This integrated part of a system will enhance to finding in automation detection and traffic flow management system.
Topics & Concepts
Modular designComputer scienceAutomationArtificial intelligenceDeep learningIntelligent transportation systemArtificial neural networkArchitectureMachine learningContextual image classificationImage (mathematics)EngineeringTransport engineeringVisual artsOperating systemArtMechanical engineeringTraffic Prediction and Management TechniquesNeural Networks and ApplicationsAutonomous Vehicle Technology and Safety