TY - GEN
T1 - Integrating feedback from image based 3D reconstruction into models of excavation processes for efficient scheduling
AU - Bügler, Maximilian
AU - Metzmacher, Henning
AU - Borrmann, André
AU - Van Treeck, Christoph
N1 - Funding Information:
This work was partly supported by the National High Technology Research and Development Program of China (863 Program, Grant No. 2013AA013701), the Zhejiang Province Natural Science Foundation for Distinguished Young Scientists (Grant No. LR12F02001), the National Natural Science Foundation of China (Grant Nos. 61170214, 61472363, 61170098) and Zhejiang Province Natural Science Key Foundation (Grant No. Z1101340).
PY - 2013
Y1 - 2013
N2 - The progress of construction sites is in many cases unexpectedly delayed by external influences, for instance weather, changes in the client's demands or involvement of residents. This may cause changes in the construction cycle. The detailed initial plans become invalid and it is required to immediately develop new plans taking the new circumstances into account. This will allow construction companies to avoid unnecessary allocation of resources, idle time and costs. In this paper methods to determine the volume of excavation pits based on point clouds obtained by image based 3D reconstruction are investigated. Furthermore it explains how to introduce the results into a model of the construction project which can be used to create new schedules. Additionally the possible benefits of re-planning project schedules after observing a task to be faster or slower than expected are described.
AB - The progress of construction sites is in many cases unexpectedly delayed by external influences, for instance weather, changes in the client's demands or involvement of residents. This may cause changes in the construction cycle. The detailed initial plans become invalid and it is required to immediately develop new plans taking the new circumstances into account. This will allow construction companies to avoid unnecessary allocation of resources, idle time and costs. In this paper methods to determine the volume of excavation pits based on point clouds obtained by image based 3D reconstruction are investigated. Furthermore it explains how to introduce the results into a model of the construction project which can be used to create new schedules. Additionally the possible benefits of re-planning project schedules after observing a task to be faster or slower than expected are described.
UR - http://www.scopus.com/inward/record.url?scp=84912551919&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84912551919
T3 - European Group for Intelligent Computing in Engineering, EG-ICE 2013 - 20th International Workshop: Intelligent Computing in Engineering
BT - European Group for Intelligent Computing in Engineering, EG-ICE 2013 - 20th International Workshop
A2 - de Wilde, Pieter
A2 - Suter, Georg
A2 - Rafiq, Yaqub
PB - Universiteit Twente
T2 - 20th International Workshop of the European Group for Intelligent Computing in Engineering, EG-ICE 2013
Y2 - 1 July 2013 through 3 July 2013
ER -