We invite you to participate in the first Scan-to-BIM challenge focused on key problems when converting 3D point cloud data obtained using lidar, photogrammetry, or depth map cameras to Building Information Models (BIMs). For maintenance, retrofitting, or renovation AEC entities could greatly benefit from access to BIMs of their facilities. Furthermore, asset owners could use BIMs for operations and maintenance as BIMs enable storing and having access to attributes such as maintenance history, material type, and manufacturer specifications. The challenge will include two tasks: (I) Floorplan Reconstruction and (II) 3D Building Model Reconstruction. For details on the two tasks please see below.

Top participants will be invited to present in the first Workshop and Challenge on Computer Vision in the Built Environment for the Design, Construction and Operation of Buildings, which will also feature invited talks and a panel discussion.

More information and dataset download can be found on the workshop website, if you have seen an earlier version of this invitation, please note that the validation and testing data have been made available now:

https://cv4aec.github.io/

We look forward to seeing your participation in the challenge!

The Workshop Organizers

Iro Armeni, Postdoctoral Researcher, ETHZ

Erzhuo Che, Professor, CEE, Oregon State University

Yong Cho, Professor, CEE, Georgia Tech University 

Martin Fischer, Professor, CEE, Stanford University

Daniel Hall, Professor, CEE, ETHZ 

Jaehoon Jung, Professor, CEE, Oregon State University

Fuxin Li, Professor, CS, Oregon State University

Michael Olsen, Professor, CEE, Oregon State University

Marc Pollefeys, Professor, CS, ETHZ 

Silvio Savarese, Professor, CS, Stanford University

Yelda Turkan, Professor, CEE, Oregon State University 

** CHALLENGE INFORMATION **

Important Dates

• Challenge submission deadline: June 1st, 2021

• Notification to authors: June 10th, 2021

• Workshop day: June 20, 2021, Saturday. Day 2 of CVPR 2021

I. Floorplan reconstruction task

Dataset: For the floorplan reconstruction task, the training set consists of the point clouds of 20 buildings with multiple floors each, with a total of 49 point clouds, as well as corresponding aligned 2D building models for each floor with multiple extracted layers. These layers include: walls, curved walls, doors, windows, stairs, and columns. The buildings have complicated floor structures which could include dozens of rooms, curved walls and many doors on each floor. The validation set contains 21 point clouds and their corresponding 2D building models, and is now available. The testing set contains another 21 point clouds. For the testing set, only the point clouds will be made available, while the 2D building models will not be made available and we will host a server to evaluate the submissions.

Evaluation Metrics: The evaluation consists of both geometric and topological metrics. For geometric metrics, the IoU of the floor area will be measured, as well as the endpoint accuracy, and orientation of walls, doors, and windows. We will also evaluate topological metrics that measure whether the connectivity of the rooms match the ground truth.

II. 3D building model reconstruction task

Dataset: For the 3D building model reconstruction task, the training set consists of point clouds of 4 buildings with multiple floors, as well as the corresponding 3D building model in AutoCAD DXF format. We aim to release 2 more buildings for the validation set and 2 more as the testing set. The evaluation on the testing set will also be hosted on the evaluation server in a similar manner to the floorplan reconstruction task.

Evaluation Metrics: The evaluation will be done manually by an expert panel.