City models for Holicity AI Machine Learning platform

3D City CAD models represent a cornerstone dataset for HoliCity, a city-scale 3D dataset with rich structural information. Currently, this dataset has 6,300 real-world high resolution panoramas that are accurately aligned with the CAD model of downtown London with an area of more than 20 km2. Working on a joint project by University of California (Berkeley), Stanford University and Bytedance Research, Palo Alto, California, USA, researchers Yichao Zhou, Jingwei Huang, Xili Dai, Linjie Luo, Zhili Chen and Yi Ma developed a platform which aims to be an all-in one data platform for research of learning abstracted high level holistic 3D structures that can be derived from city CAD models.

Importance of Accurate & Detailed 3D city CAD models
3D structures that can be derived from city CAD models, e.g., corners, lines, wireframes, planes, and cuboids can be supporting real-world applications including city-scale reconstruction, localization, mapping, and augmented reality.