This work takes a look at data models often used in digital twins and presents preliminary results specifically from surface reconstruction and semantic segmentation models trained using simulated data. This work is expected to serve as a ground work for future endeavours in data contextualisation inside a digital twin.
翻译:这项工作考察了数字双胞胎经常使用的数据模型,并具体介绍了利用模拟数据培训的地表重建和语义分解模型的初步结果,预计这项工作将成为今后在数字双胞胎内进行数据背景化工作的基础工作。