Moving vehicle detection using deep neural network

A. Soin, M. Chahande
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引用次数: 17

Abstract

In recent years, vehicle recognition has become one of the most important applications in the field of intelligent traffic monitoring and management. Vehicles detection on road is a necessary component in many intelligent applications, such as driver assistance systems, automatic toll collection, intelligent parking systems, self-guided vehicles and traffic statistics such as speed, flow and vehicle count. The main goal of our study is to detect the moving vehicles on road for driverless car assistance system. We address the vehicle detection and recognition problems using Deep Neural Networks (DNNs) approach. Our proposed approach outperforms state-of-the art method.
基于深度神经网络的移动车辆检测
近年来,车辆识别已成为智能交通监控与管理领域的重要应用之一。道路上的车辆检测是许多智能应用的必要组成部分,例如驾驶员辅助系统、自动收费、智能停车系统、自动引导车辆以及速度、流量和车辆数量等交通统计。我们研究的主要目的是为无人驾驶汽车辅助系统检测道路上的移动车辆。我们使用深度神经网络(dnn)方法解决车辆检测和识别问题。我们提出的方法优于最先进的方法。
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