集成电路与嵌入式系统2026，Vol.26Issue(9)：1-7,7.DOI:10.20193/j.ices2097-4191.2026.0013
基于AI机器视觉的盲道检测与信息采集系统
Tactile paving detection and information acquisition system based on AI machine vision
摘要
Abstract
To assist visually impaired individuals in navigation,an AI-based machine vision system for collecting tactile paving informa-tion has been designed to enable intelligent data acquisition.The system identifies standard tactile paving through image edge detection and morphological constraints,enabling wheeled robots to autonomously traverse tactile paths.It employs the YOLOv8 object detection model paired with Huawei Ascend AI processors to detect anomalies in tactile paving,transmitting detection results to a host computer via Wi-Fi.Experiments were conducted on a simulated tactile paving testbed composed of 30 cm×30 cm tiles,including damaged tiles,missing sections,and movable and immovable obstacles at different locations.Multiple detection runs were conducted with damaged tactile paving,missing sections,and both movable and immovable obstacles placed at various positions.Testing confirmed the system̓s capability to collect tactile paving data within defined scenarios,identify anomaly types and locations,with an average detection accuracy of 95%.The average absolute error in anomaly location pinpointing was less than 9.12 cm relative to actual positions.The proposed system provides technical support for tactile paving inspection,maintenance management,and accessible mobility assistance for visually impaired individuals.关键词
视觉识别算法/YOLOv8/同步定位与建图/ROS机器人/昇腾AI处理器Key words
visual recognition algorithm/YOLOv8/simultaneous localization and mapping/ROS robot/ascend AI processor分类
信息技术与安全科学引用本文复制引用
董心怡,汪永良,王远青,千承辉..基于AI机器视觉的盲道检测与信息采集系统[J].集成电路与嵌入式系统,2026,26(9):1-7,7.基金项目
国家级大学生创新创业基金资助项目(202410183283) （202410183283）
