摘要
针对人工智能课程实验要求,结合轨道交通障碍物检测实际工程问题,开发了一种基于毫米波雷达和计算机视觉联用的障碍物自动检测系统实验教学平台。该实验平台由数据采集模块、信息处理模块和预警显示模块组成,涉及图像处理技术、目标检测技术、网络模型部署等。实验结果表明,该系统具有良好的有效性、实时性、鲁棒性以及小目标检测能力,可以满足实际场景下的检测性能要求。通过该实验教学平台,可以提高学生创新实践能力,使学生认识到人工智能技术在实际工程问题中的应用,从而为将来的科研或工作打下基础。
According to the experimental requirements of the artificial intelligence course and combined with the practical engineering problems of rail transit obstacle detection,an experimental teaching platform of the obstacle automatic detection system based on millimeter wave radar and computer vision is developed.The experimental platform consists of data acquisition module,information processing module and early warning display module,involving image processing technology,object detection technology,network model deployment and so on.The experimental results show that the system has good effectiveness,real-time,robustness and small target detection ability,and can meet the detection performance requirements in the actual scene.The experimental teaching platform can improve students'innovative and practical ability,make students realize the application of artificial intelligence technology in practical engineering problems,and lay a foundation for future scientific research or work.
作者
叶涛
秦文阳
张晞
YE Tao;QIN Wenyang;ZHANG Xi(School of Mechanical Electronic and Information Engineering,China University of Mining and Technology(Beijing),Beijing 100083,China)
出处
《实验技术与管理》
CAS
北大核心
2022年第1期136-141,共6页
Experimental Technology and Management
基金
中央高校基本科研业务费专项资金项目(8000150A073)
机械工程测试技术课程教学方法研究(J210410)。
关键词
人工智能
毫米波雷达
计算机视觉
障碍物自动检测系统
实验教学
artificial intelligence
millimeter wave radar
computer vision
automatic obstacle detection system
experimental teaching
