Vehicle Detection and Speed Estimation Using Deep Learning
Vishnu Kumar Mishra, Megha Mishra, Rajesh Tiwari, T. Ramkumar, Tarun Dhar Diwan, Raj Kumar Patra
Abstract
The use of deep learning algorithms for vehicle detection and speed estimate in traffic surveillance systems is investigated in this research study. Convolutional Neural Networks (CNNs) are the main tool used in this study to solve the problems related to precise and timely monitoring of vehicle movement. By improving the effectiveness and dependability of current systems, the suggested approach hopes to promote traffic management for smart transportation.
Topics & Concepts
Computer scienceEstimationDeep learningArtificial intelligenceReal-time computingEngineeringSystems engineeringAutonomous Vehicle Technology and SafetyVehicle License Plate RecognitionAdvanced Neural Network Applications