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20240204基于EdgeBoard的智能循迹避障小车设计

‖  文章供稿:杨静静  曹海平  丁杰  顾银波  霍旋
‖  字体: [大] [中] [小]

杨静静  曹海平  丁杰  顾银波  霍旋

(南通大学张謇学院,江苏 南通 226000)

摘要:针对传统的自主循迹避障小车在复杂路况下存在图像识别精度低、处理时间长等问题,设计一种基于EdgeBoard的智能循迹避障小车。首先,通过USB摄像头采集道路图像;然后,采用基于OpenCV的道路循迹算法识别道路边缘;最后,利用SSD_MobileNetV1深度学习模型识别特定的交通标志。经测试,该智能循迹避障小车具有良好的稳定性和可靠性。

关键词:循迹避障小车;EdgeBoard;OpenCV;深度学习;自主循迹避障

中图分类号:TP242.6         文献标志码:A            文章编号:1674-2605(2024)02-0004-07

DOI:10.3969/j.issn.1674-2605.2024.02.004

Design of Intelligent Tracking and Obstacle Avoidance Vehicle            Based on EdgeBoard 

YANG Jingjing  CAO Haiping  DING Jie  GU Yinbo  HUO Xuan

(Zhangjian School, Nantong University, Nantong 226000, China)

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.

Keywords: tracking and obstacle avoidance vehicle; EdgeBoard; OpenCV; deep learning; autonomous tracking and obstacle avoidance

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