ACCUCITIES

HoliCity, a city-scale 3D dataset with rich structural information. 3D London by AccuCities.

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.

https://www.accucities.com/city-cad-models-for-holicity-machine-learning/

Company details

Incorporated:
20 May 2017
Industry:
Software and computer services
“The problem with data-driven approach to machine learning is that you absolutely do need the highest quality data – and lots of it. Methodology, experimenting and coding are of course integral parts of this process, but in my opinion a large area of CAD city model and corresponding RGB imagery are an absolute must. That’s why it was so welcome that AccuCities supported this project with their 3D London city data. The accuracy and detail of the 3D city model was absolutely crucial for the method to work. There is still much to be done, but the project clearly illustrates that it is possible to teach the system so it can make better plane detection and depth estimation. We can also conclude an encouraging level of transferability of the systems pre-trained using Holicity.”
Yichao Zhou Researcher University of California, Berkeley