徐州工程学院学报（自然科学版）2024，Vol.39Issue(3)：60-65,6.
基于BP神经网络和树莓派的自主驾驶车设计
Autonomous Driving Vehicle Design Based on BP Neural Network and Raspberry Pi
摘要
Abstract
The accelerated advancement of sensor technology and artificial intelligence has prompted a heightened emphasis on research into autonomous vehicles,which is currently one of the most prominent topics in the field of robotics.This paper presents the design and implementation of an autonomous driving car,in which the Raspberry Pi is employed as the principal control core.A CMOS camera is utilized as the image acquisition module for the road and traffic lights,while DC decelerator motors and an L298N chip constitute the drive module.The BP neural network is designed to recognize lane lines in accordance with the prevailing road conditions,while the AdaBoost cascade classifier is employed to distinguish the road traffic lights,thereby enabling the automatic recognition between roads and traffic lights and the realization of autonomous driving.关键词
自主驾驶/树莓派/OpenCV/神经网络Key words
autonomous driving/Raspberry Pi/openCV/neural network分类
信息技术与安全科学引用本文复制引用
张建化,宋逸飞,王树臣,杜雨馨..基于BP神经网络和树莓派的自主驾驶车设计[J].徐州工程学院学报（自然科学版）,2024,39(3):60-65,6.基金项目
徐州市科技计划现代农业项目(KC23133) （KC23133）
徐州市科技计划现代农业项目(KC21135) （KC21135）
