摘要
为了实现对现存无线网资源更好的数字化管理,通常需要借助三维重建技术[1]完成其数字孪生。但是在天面类资源的应用场景下,由于其种类的多样性以及环境的复杂性,简单采用无人机或全景相机进行3D建模的方法并不能普遍应用。随着人工智能技术的兴起,借助参数识别而非扫描的方法可以更加精准且迅速的实现天面类资源的三维重建。经过数据采集与实地实验,结合识别算法与预置模型组装可以很好地完成通信行业天面类资源的三维重建任务。
In order to achieve better digital management of existing wireless network resources,it is usually necessary to complete its digital twin with the help of 3D reconstruction technology.However,in the application scenario of antenna platform resources,because of the diversity of types and the complexity of the environment,the method of simply using panoramic cameras for 3D modeling cannot be widely applied.With the rise of artificial intelligence technology,the 3D reconstruction of antenna platform resources can be realized more accurately and quickly with the help of parameter identification instead of scanning.After data collection and field experiments,the recognition algorithm combined with component assembly can well complete the 3D reconstruction task of antenna platform resources in the communication industry.
作者
张昀玮
竹梦圆
Zhang Yunwei;Zhu Mengyuan(China Information Technology Designing&Consulting Institute Co.,Ltd.,Beijing 100048,China)
出处
《邮电设计技术》
2023年第7期37-42,共6页
Designing Techniques of Posts and Telecommunications
关键词
人工智能
三维重建
深度估计
目标检测
Artificial intelligence
3D reconstruction
Depth estimation
Object detection
