自动化与信息工程2024，Vol.45Issue(2)：22-28,7.DOI:10.3969/j.issn.1674-2605.2024.02.004
基于EdgeBoard的智能循迹避障小车设计
Design of Intelligent Tracking and Obstacle Avoidance Vehicle Based on EdgeBoard
摘要
Abstract
Aiming at the problems of low image recognition accuracy and long processing time in traditional autonomous obstacle avoidance vehicles under complex road conditions,a smart obstacle avoidance vehicle based on EdgeBoard is designed.Firstly,collect road images through a USB camera;Then,the road tracking algorithm based on OpenCV is used to identify the edges of the road;Finally,use the SSD_MobileNetV1 deep learning model to identify specific traffic signs.After testing,the intelligent tracking and obstacle avoidance car has good stability and reliability.关键词
循迹避障小车/EdgeBoard/OpenCV/深度学习/自主循迹避障Key words
tracking and obstacle avoidance vehicle/EdgeBoard/OpenCV/deep learning/autonomous tracking and obstacle avoidance分类
信息技术与安全科学引用本文复制引用
杨静静,曹海平,丁杰,顾银波,霍旋..基于EdgeBoard的智能循迹避障小车设计[J].自动化与信息工程,2024,45(2):22-28,7.基金项目
江苏省高等学校省级创新创业训练计划项目(202210304204H) （202210304204H）
