智能网联汽车辅助驾驶安全信息检测系统设计  

Study on the Design of Safety Information Detection System for Intelligent Networked Vehicles with Assisted Driving

作　　者：陈卓华 刘思露 侯利娟 Chen Zhuohua;Liu Siu;Hou Lijuan(Changsha University of Science and Technology,Changsha 410076)

机构地区：[1]长沙理工大学,湖南长沙410076

出　　处：《中阿科技论坛（中英文）》2023年第6期98-102,共5页China-Arab States Science and Technology Forum

基　　金：智能网联汽车辅助驾驶安全信息检测系统(S202113635009)。

摘　　要：本文设计了一款汽车辅助驾驶安全信息检测系统,该系统包含车尾盲区检测子系统和基于深度学习的预碰撞检测子系统。车尾盲区检测子系统,是通过在车尾或车尾两侧增加摄像头与雷达以进行盲区检测。预碰撞检测子系统,是通过在车头或车头两侧增加摄像头,探测车前方是否有其他车辆或行人,并初步识别前方车辆的车型及行人等信息。试验结果显示,该系统可以实现对汽车盲区的安全监测以及对周围其他车辆和行人的监测,识别其他车辆型号和行人信息,并在显示屏实时、全方位呈现车周情况,在出现行人、其他车辆距本车身过近等危险情况时发出警告,提醒驾驶员及时作出必要反应,以预防交通事故。In this paper,a vehicle-assisted driving detection system is designed,which consists of a rear blind zone detection subsystem and a deep learning based pre-collision detection subsystem.The former performs blind zone detection by installing cameras and radar at the rear or both sides of the vehicle,while the latter serves to detect and identifies the vehicle model and pedestrian information by installing cameras to the front or both sides of the vehicle.The test results show that the system can monitor the car’s blind spot as well as surrounding vehicles and pedestrians,identify vehicle models and pedestrians,and presenting the car perimeter in real time and in an all-round way,and issue warnings when there are risks such as pedestrians and other vehicles too close to the vehicle,so as to remind the driver to react in time in order to prevent traffic accidents.

关 键 词：汽车驾驶系统 深度学习 盲区检测 人机交互 神经网络 

分 类 号：F426[经济管理—产业经济]