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Ahn, C R and Lee, S (2013) Importance of Operational Efficiency to Achieve Energy Efficiency and Exhaust Emission Reduction of Construction Operations. Journal of Construction Engineering and Management, 139(04), 404–13.

Bowen, P, Edwards, P and Lingard, H (2013) Workplace Stress Experienced by Construction Professionals in South Africa. Journal of Construction Engineering and Management, 139(04), 393–403.

Fernandez-Solis, J L, Porwal, V, Lavy, S, Shafaat, A, Rybkowski, Z K, Son, K and Lagoo, N (2013) Survey of Motivations, Benefits, and Implementation Challenges of Last Planner System Users. Journal of Construction Engineering and Management, 139(04), 354–60.

Forcada, N, Macarulla, M and Love, P E D (2013) Assessment of Residential Defects at Post-Handover. Journal of Construction Engineering and Management, 139(04), 372–8.

Kang, Y, O’Brien, W J, Dai, J, Mulva, S P, Thomas, S P, Chapman, R E and Butry, D (2013) Interaction Effects of Information Technologies and Best Practices on Construction Project Performance. Journal of Construction Engineering and Management, 139(04), 361–71.

Lorterapong, P and Ussavadilokrit, M (2013) Construction Scheduling Using the Constraint Satisfaction Problem Method. Journal of Construction Engineering and Management, 139(04), 414–22.

Solis, F, Sinfield, J V and Abraham, D M (2013) Hybrid Approach to the Study of Inter-Organization High Performance Teams. Journal of Construction Engineering and Management, 139(04), 379–92.

Son, H and Kim, C (2013) Multiimaging Sensor Data Fusion-Based Enhancement for 3D Workspace Representation for Remote Machine Operation. Journal of Construction Engineering and Management, 139(04), 434–44.

  • Type: Journal Article
  • Keywords: Workspace; Three-dimensional models; Construction equipment; Probe instruments; Cameras; Imaging techniques; Data processing; Three-dimensional (3D) workspace representation; Construction machine; Interactive visual feedback; Remote operation; Sensor data
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000630
  • Abstract:
    In incompletely characterized environments such as construction sites, remote machine operation is the preferred—and sometimes the only—safe and efficient solution for the operation of construction machines. When it comes to the operation of remote-controlled construction machines, a human—machine interface is needed so that even in the case of an unstructured environment (such as a construction site), the operator can interact with the machine in a safe and efficient manner. The human—machine interface needs to have the capability of realistically representing a three-dimensional (3D) workspace that provides information feedback to the remote operator. Workspace representation methods that are currently in use have certain limitations—they are time consuming and labor intensive and require high-performance computers. A major objective of this study is the development of an efficient means of representing a workspace in 3D that has the capacity to provide interactive visual feedback to the operator of remote-controlled construction machines. To achieve this objective, the ability is required to acquire dense, accurate, and visually realistic 3D data that can be converted into high-quality models. This allows creation of a realistic 3D workspace representation of terrain, including objects that might be in proximity to the machine. For this purpose, this study proposes a multiimaging sensor data fusion-based system employing joint bilateral upsampling, which enhances the quality and availability of the information acquired in such an environment. The field experiment results show that combining data acquired with a complementary multiimaging sensor setup allows enhancement of the quality of the information available to the remote operator. The resulting task-specific 3D workspace representation can be successfully incorporated into the development of remote-controlled construction machines that require interactive visual feedback. This provides the opportunity to make human—machine interaction more efficient and to improve the remote operation capability by assisting the operator. Moreover, the proposed multiimaging sensor data fusion-based 3D representation approach has the potential for effective use in a broad class of applications within the construction industry.

Turkan, Y, Bosché, F, Haas, C T and Haas, R (2013) Toward Automated Earned Value Tracking Using 3D Imaging Tools. Journal of Construction Engineering and Management, 139(04), 423–33.

Vaughan, J L, Leming, M L, Liu, M and Jaselskis, E (2013) Cost-Benefit Analysis of Construction Information Management System Implementation: Case Study. Journal of Construction Engineering and Management, 139(04), 445–55.