http://ira.lib.polyu.edu.hk/bitstream/10397/73089/2/Olawumi_Scientometric_Global_Sustainability.pdf

A scientometric review of global research on sustainability and sustainable development

This paper concludes that 4D models are a useful alternative to project scheduling tools like CPM networks and bar charts. They enable more people to understand a schedule quickly and identify potential problems. By developing a 4D model for a commercial construction project, we were able to detect the incompleteness of the original schedule, find inconsistencies in the level of detail among the schedule activities, and discover an impossible schedule sequence. We were also able to anticipate potential time-space conflicts and accessibility problems. The results of the case study show that 4D models are effective in evaluating the executability of a construction schedule. The case study also highlighted the need for improvements to 4D tools. 4D tools should include bar charts, component lists, and annotation tools in their graphical user interface. Automating schedule data preparation and 4D model generation in the design stages of a project can expedite 4D model development and use. Users need to be able to generate 4D models at multiple levels of detail and generate and evaluate alternative scenarios rapidly.

Closure of "Feasibility Study of 4D CAD in Commercial Construction"

Computer vision techniques for construction safety and health monitoring

The GPR (Ground Penetrating Radar) conference in Hong Kong year 2016 marked the 30th anniversary of the initial meeting in Tifton, Georgia, USA on 1986. The conference has been being a bi-annual event and has been hosted by sixteen cities from four continents. Throughout these 30 years, researchers and practitioners witnessed the analog paper printout to digital era that enables very efficient collection, processing and 3D imaging of large amount of data required in GPR imaging in infrastructure. GPR has systematically progressed forward from “Locating and Testing” to “Imaging and Diagnosis” with the Holy Grail of ’Seeing the unseen’ becoming a reality. This paper reviews the latest development of the GPR’s primary infrastructure applications, namely buildings, pavements, bridges, tunnel liners, geotechnical and buried utilities. We review both the ability to assess structure as built character and the ability to indicate the state of deterioration. Finally, we outline the path to a more rigorous development in terms of standardization, accreditation, and procurement policy.

A review of Ground Penetrating Radar application in civil engineering: A 30-year journey from Locating and Testing to Imaging and Diagnosis

Quantifying construction and demolition waste: An analytical review

WBS-based dynamic multi-dimensional BIM database for total construction as-built documentation

Risk assessment and management via multi-source information fusion for undersea tunnel construction

Uncertainty-aware geospatial system for mapping and visualizing underground utilities

A pothole is a severe pavement distress that can compromise pavement rideability and safety and can be the cause of expensive damage claims. The detection and evaluation of potholes are predominantly manual and time-consuming. Although sensing technologies such as global positioning systems (GPS), stereovision systems, and ground penetrating radar (GPR) now can be combined to collect pavement condition data for assessment, the raw data returned by these sensors are often processed individually and separately. This isolated approach to data processing hinders the potential efficiency and effectiveness of multisensor systems. This paper proposes a method to integrate the processing of two-dimensional images and GPR data to automate accurate and efficient pothole detection. First, the images and GPR scans are preprocessed to filter out noise and enhance the essential clues related to potholes. Second, a novel pothole detector was designed by investigating the patterns of GPR signals reflected by poth...

Integrated Processing of Image and GPR Data for Automated Pothole Detection

Cracks are an important symptom of pavement deterioration and deficiency. Accurate and complete information regarding pavement cracks is critical to determining pavement maintenance schedul...

Hubo Cai

Papers

WBS-based dynamic multi-dimensional BIM database for total construction as-built documentation

Risk assessment and management via multi-source information fusion for undersea tunnel construction

Uncertainty-aware geospatial system for mapping and visualizing underground utilities

Integrated Processing of Image and GPR Data for Automated Pothole Detection

Automatic Pavement-Crack Detection and Segmentation Based on Steerable Matched Filtering and an Active Contour Model