基于CNN和HUD技术的交通标志提醒辅助驾驶系统设计  

Design of Traffic Sign Reminder Assisted Driving System Based on CNN and HUD Technology

作　　者：曹世龙 Cao Shilong(College of Mechanical and Electrical Engineering,Hebei Agricultural University,Heibei Baoding 071000)

机构地区：[1]河北农业大学机电工程学院,河北保定071000

出　　处：《汽车实用技术》2020年第9期45-46,共2页Automobile Applied Technology

摘　　要：为了提高驾驶的安全性,维护交通秩序,文章应用卷积神经网络(CNN)和抬头显示技术(HUD)提出了一种提醒驾驶员交通标志的系统。首先通过红外摄像头做成的视觉采集器收集车辆周围交通标志牌信息,再传递给训练好的卷积神经网络,通过卷积神经网络进行对捕捉到的图像进行识别并生成提示信息,然后通过抬头显示技术将卷积神经网络生成的提示信息显示到车辆的前挡风玻璃上,从而起到提示驾驶员辅助驾驶的作用。In order to improve driving safety and maintain traffic order,this paper proposes a system to remind drivers of traffic signs using convolutional neural networks(CNN)and head-up display technology(HUD).First collect the information about the traffic signs around the vehicle through a visual collector made by an infrared camera,and then pass it to the trained convolutional neural network.The convolutional neural network will recognize the captured image and generate prompt information.The display technology displays the prompt information generated by the convolutional neural network on the front windshield of the vehicle,so as to prompt the driver to assist the driving.

关 键 词：卷积神经网络 抬头显示技术 交通标志 辅助驾驶 

分 类 号：U471.15[机械工程—车辆工程]