Yijie Wu

The University of Hong Kong | HKU · Department of Real Estate and Construction

A large proportion of indoor spatial data is generated by parsing floor plans. However, a mature and automatic solution for generating high-quality building elements (e.g., walls and doors) and space partitions (e.g., rooms) is still lacking. In this study, we present a two-stage approach to indoor mapping and modeling (IMM) from floor plan images....

Coarse registration of 3D point clouds plays an indispensable role for parametric, semantically rich, and realistic digital twin buildings (DTBs) in the practice of GIScience, manufacturing, robotics, architecture, engineering, and construction. However, the existing methods have prominently been challenged by (i) the high cost of data collection f...

[Free PDF:🌐 https://frankxue.com/#publications 🌐] Compact building models are demanded by global smart city applications, while high-definition urban 3D data is increasingly accessible by dint of the advanced reality capture technologies. Yet, existing building reconstruction methods encounter crucial bottlenecks against high-definition data of lar...

[Free PDF:🌐 https://authors.elsevier.com/a/1jIVl3IhXM-Iyn 🌐 until Aug 2024] Existing construction activity-monitoring technologies, such as CCTV cameras and IoT devices, have limitations, such as lack of depth information, 3D measurement errors, or wireless signal vulnerability. The limitations are particularly problematic for activities related to...

Many existing 3D semantic segmentation methods, deep learning in computer vision notably, claimed to achieve desired results on urban point clouds. Thus, it is significant to assess these methods quantitatively in diversified real-world urban scenes, encompassing high-rise, low-rise, high-density, and low-density urban areas. However, existing publ...

More than half of the materials extracted from natural environments eventually accumulate as building material stock (BMS). From a linear‐to‐circular economy perspective, BMS transforms the building sector from a virgin material consumer and a waste generator to a future depository of secondary resources. Studies characterizing the amount and distr...

Many existing 3D semantic segmentation methods, deep learning in computer vision notably, claimed to achieve desired results on urban point clouds, in which the city objects are too many and diverse for people to judge qualitatively. Thus, it is significant to assess these methods quantitatively in diversified real-world urban scenes, encompassing...

Mobile cranes are essential equipment in constructionsites due to their high flexibility and mobility. However,the existing sensing or monitoring methods havelimitations in monitoring mobile cranes on sites.Recently, the advent of 4D point cloud (4DPC)technology with a unique spatial-temporal data structurehas shown potential in addressing these is...

Building Information Modeling (BIM) has presented great potential in the construction industry. Scan-to-BIM is demanded to verify as-designed models and to digital twin many existing buildings without BIMs. This paper focuses on an extreme case without human interferences like data cleansing and partitioning – fully automatic Scan-to- BIM, on which...

In the era of digital twins, high-definition 3D point clouds of cultural relics, such as the bronze drums of ancient Southeast Asia and China, are increasingly available as digital heritage. This study applies an automatic hierarchical clustering method to compare and cluster 14 unstructured 3D models of frogs on drums based on the dissimilarity me...

[Free PDF:🌐 https://frankxue.com/#publications 🌐] Every windowed room has a view, which reflects the visibility of nature and landscape and has a strong influence on the health, living satisfaction, and housing value of inhabitants. Thus, automatic accurate window view assessment is vital in examining neighborhood landscape and optimizing the socia...

Quantifying truck-loaded materials is a problem in many industrial operations. In construction and demolition waste (CDW) management, inspectors at disposal facilities are often required to measure the amount of different waste components loaded by incoming trucks to determine admissibility. Due to the bulky and mixed nature of construction materia...

The built environment closely relates to the development of COVID-19 and post-disaster recovery. Nevertheless, few studies examine its impacts on the recovery stage and corresponding urban development strategies. This study examines the built environment’s role in Wuhan’s recovery at the city block level through a natural experiment. We first aggre...

Building information modeling (BIM) has been widely used as the information hub for collaborations and has increasingly been mandated in the construction industry over the past decade. From the information perspective, there have been three BIM-based exchange paradigms: (i) file-based, (ii) cloud-based, and (iii) blockchain-based. Digital twin (DT)...

Building information modeling (BIM) of cultural heritages, i.e., historic building information modeling (HBIM), advances the monitoring, maintenance, restoration, and virtual exhibitions of historical buildings. However, due to the elaborate styles and the unavoidable erosion and renovation, the reconstruction of HBIM from the prevalent raw data, s...

This paper presents a deep learning-based point cloud processing method named FloorPP-Net for the task of Scan-to-BIM (building information model). FloorPP-Net first converts the input point cloud of a building story into point pillars (PP), then predicts the corners and edges to output the floor plan. Altogether, FloorPP-Net establishes an end-to-...

Building information modeling (BIM) of cultural heritages, i.e., historic building information modeling (HBIM), advances the monitoring, maintenance, restoration, and virtual exhibitions of historical buildings. However, due to the elaborate styles and the unavoidable erosion and renovation, the reconstruction of HBIM from the prevalent raw data, s...

Indoor map matching has been an important technique to improve the indoor localization accuracy because it takes the advantage of available indoor building data and effectively decreases the localization cost. One of the spatial model involved in the indoor map matching, adaptive navigation model, could balance the accuracy and complexity of the mo...

Spatial queries play significant roles in exchanging Building Information Modeling (BIM) data and integrating BIM with indoor spatial information. However, topological operators implemented for BIM spatial queries are limited to qualitative relations (e.g. touching, intersecting). To overcome this limitation, we propose an extended maptree model to...