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Ling Ma

Bio: Ling Ma is an academic researcher from University College London. The author has contributed to research in topics: Building information modeling & Virtual reality. The author has an hindex of 13, co-authored 31 publications receiving 484 citations. Previous affiliations of Ling Ma include Technion – Israel Institute of Technology & Huazhong University of Science and Technology.

Papers
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Journal ArticleDOI
TL;DR: This research helps establish the state-of-the-art of DT in the civil engineering sector and suggests future DT development by extracting DT research clusters based on the co-occurrence analysis of paper keywords' and the relevant DT constituents.

107 citations

Journal ArticleDOI
TL;DR: The development of a next-generation integrated bridge inspection system, called SeeBridge, demonstrates that the hurdles in the way of automated acquisition of detailed and semantically rich models of existing infrastructure are computational in nature, not instrumental, and are surmountable with existing technologies.

90 citations

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TL;DR: This work states that semantic enrichment of building models adds meaningful domain-specific or application-specific information to a digital building model that is applicable to solving interoperability problems...
Abstract: Semantic enrichment of building models adds meaningful domain-specific or application-specific information to a digital building model. It is applicable to solving interoperability problems and to compilation of models from point cloud data. The SeeBIM (Semantic Enrichment Engine for BIM) prototype software encapsulates domain expert knowledge in computer readable rules for inference of object types, identity and aggregation of systems. However, it is limited to axis-aligned bounding box geometry and the adequacy of its rule-sets cannot be guaranteed. This paper solves these drawbacks by (1) devising a new procedure for compiling inference rule sets that are known a priori to be adequate for complete and thorough classification of model objects, and (2) enhancing the operators to compute complex geometry and enable precise topological rule processing. The procedure for compiling adequate rule sets is illustrated using a synthetic concrete highway bridge model. A real-world highway bridge model, with 333 components of 13 different types and compiled from a laser scanned point cloud, is used to validate the approach and test the enhanced SeeBIM system. All of the elements are classified correctly, demonstrating the efficacy of the approach to semantic enrichment.

78 citations

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TL;DR: This paper integrates computer vision algorithms with ontology models to develop a knowledge graph that can automatically and accurately recognise hazards while adhering to safety regulations, even when they are subjected to change.

73 citations

Journal ArticleDOI
TL;DR: A framework for BIM-enabled life-cycle information management is built and will provide a unified platform for information management and ensure data integrity.
Abstract: BIM has been widely used in project management, but on the whole the applications have been scattered and the BIM models have not been deployed throughout the whole project life-cycle. Each partici...

71 citations


Cited by
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Journal ArticleDOI
23 Jun 2004

434 citations

Journal ArticleDOI
TL;DR: An automated computer vision-based method that uses two convolutional neural network models to determine if workers are wearing their harness when performing tasks while working at heights can be used by construction and safety managers to proactively identify unsafe behavior and take immediate action to mitigate the likelihood of a FFH occurring.

255 citations

Journal ArticleDOI
TL;DR: A mixed review to determine the current state-of-the-art BIM development for sustainability reveals that although there has been a significant amount of research and development about the use of BIM during various project phases, little work has been conducted about how it could be applied in refurbishment and demolition.

252 citations

Journal ArticleDOI
TL;DR: A bibliometric analysis and a review of existing literature on BIM focusing on the last decade identified Collaborative Environments and Interoperability, Sustainable Construction, BIM Adoption & Standardisation, and BIM Programming as the categories with the most significant growth in the last years.

221 citations