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Abdelkader, E M, Moselhi, O, Marzouk, M and Zayed, T (2021) Integrative Evolutionary-Based Method for Modeling and Optimizing Budget Assignment of Bridge Maintenance Priorities. Journal of Construction Engineering and Management, 147(09).
Ahmed, A, Mohammed, H A, Gambatese, J and Hurwitz, D (2021) Effects of Flashing Blue Lights Mounted on Paving Equipment on Vehicle Speed Behavior in Work Zones. Journal of Construction Engineering and Management, 147(09).
Cai, Q, Hu, Q and Ma, G (2021) Improved Hybrid Reasoning Approach to Safety Risk Perception under Uncertainty for Mountain Tunnel Construction. Journal of Construction Engineering and Management, 147(09).
Chen, B, Yu, X, Dong, F, Zheng, C, Ding, G and Wu, W (2021) Compaction Quality Evaluation of Asphalt Pavement Based on Intelligent Compaction Technology. Journal of Construction Engineering and Management, 147(09).
Hajj, C E, Jawad, D and Montes, G M (2021) Analysis of a Construction Innovative Solution from the Perspective of an Information System Theory. Journal of Construction Engineering and Management, 147(09).
Hasan, A, Rameezdeen, R, Baroudi, B and Ahn, S (2021) Mobile ICT–Induced Informal Work in the Construction Industry: Boundary Management Approaches and Consequences. Journal of Construction Engineering and Management, 147(09).
Hassan, F u, Le, T and Lv, X (2021) Addressing Legal and Contractual Matters in Construction Using Natural Language Processing: A Critical Review. Journal of Construction Engineering and Management, 147(09).
Huang, H, Zhang, C and Hammad, A (2021) Effective Scanning Range Estimation for Using TLS in Construction Projects. Journal of Construction Engineering and Management, 147(09).
- Type: Journal Article
- Keywords: Terrestrial laser scanner (TLS); Point clouds; Effective scanning range; Practical workflow;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002127
- Abstract:
The terrestrial laser scanner (TLS) is an effective tool to generate geometric models of existing buildings and other structures. TLS has shown great potential in the architecture, engineering, and construction (AEC) industry. High standards for accuracy and density of point clouds are essential for producing accurate models. Some requirements have been developed for evaluating the deliverability of collected point clouds. However, practical guidelines for collecting qualified data may not always be available in every scenario. Consequently, either over-dense point clouds are collected to cover as large a range as possible, a conservative approach that results in wasted time in data collection and processing, or sparse point clouds are collected to reduce data collection time, which results in missing data. The present work proposes a methodology to calculate the effective scan range based on rigorous mathematical reasoning with straightforward equations considering all the neighboring points on the target plane. Using the proposed workflow, appropriate angular resolution can be quickly estimated to balance the scanning range and the collected data size in site surveying. Two case studies were carried out to investigate the feasibility of the proposed methodology. The results show that the point clouds within the suggested effective scanning range are highly consistent with expectations, which indicates that the proposed methodology is feasible and reliable.
Jiang, Y and Bai, Y (2021) Low–High Orthoimage Pairs-Based 3D Reconstruction for Elevation Determination Using Drone. Journal of Construction Engineering and Management, 147(09).
Johannes, K, Theodorus Voordijk, J, Marias Adriaanse, A and Aranda-Mena, G (2021) Identifying Maturity Dimensions for Smart Maintenance Management of Constructed Assets: A Multiple Case Study. Journal of Construction Engineering and Management, 147(09).
Kar, S and Jha, K N (2021) Exploring the Critical Barriers to and Enablers of Sustainable Material Management Practices in the Construction Industry. Journal of Construction Engineering and Management, 147(09).
Noghabaei, M, Han, K and Albert, A (2021) Feasibility Study to Identify Brain Activity and Eye-Tracking Features for Assessing Hazard Recognition Using Consumer-Grade Wearables in an Immersive Virtual Environment. Journal of Construction Engineering and Management, 147(09).
Perez-Perez, Y, Golparvar-Fard, M and El-Rayes, K (2021) Scan2BIM-NET: Deep Learning Method for Segmentation of Point Clouds for Scan-to-BIM. Journal of Construction Engineering and Management, 147(09).
Raoufi, M and Fayek, A R (2021) How to Improve Crew Motivation and Performance on Construction Sites. Journal of Construction Engineering and Management, 147(09).
Taghizadeh, K, Alizadeh, M and Yavari Roushan, T (2021) Cooperative Game Theory Solution to Design Liability Assignment Issues in BIM Projects. Journal of Construction Engineering and Management, 147(09).
Votto, R, Lee Ho, L and Berssaneti, F (2021) Earned Duration Management Control Charts: Role of Control Limit Width Definition for Construction Project Duration Monitoring. Journal of Construction Engineering and Management, 147(09).
Xu, Y, Shen, X, Lim, S and Li, X (2021) Three-Dimensional Object Detection with Deep Neural Networks for Automatic As-Built Reconstruction. Journal of Construction Engineering and Management, 147(09).