Showing papers by "Samad M. E. Sepasgozar published in 2014"
13 May 2014
TL;DR: In this paper, a framework for rapid as-built modeling using 3D point cloud data captured by a handheld lidar is presented, which involves five key stages from data capturing to create a final model.
Abstract: The need for development of reliable and efficient real-time data acquisition systems has recently attracted a great deal of attention in the construction industry, basically due to the demands for highly frequent updates in most visualization, optimization and coordination-related applications. The predominant data that has been used in the construction industry so far is rather less accurate. Moreover, the conventional methods of data acquisition are based on fieldwork that is timeconsuming, expensive and labour-intensive. Accuracy of original data and efficiency of data acquisition could be enhanced using new lidar technologies. Lidar is the advanced remote sensing technology that is able to provide 3D data with centimetre to millimetre level accuracy effectively and efficiently. However, the implementation of 3D data for accurate as-built creation is still challenging especially for openings and fine details of the construction objects in an indoor environment. This paper presents a framework for rapid as-built modelling using 3D point cloud data captured by a handheld lidar. The procedure involves five key stages from data capturing to create a final model. This paper reports the implementation of the framework using the state-of-the-art mobile lidar to analyse fine details of a sample building. Lidar data of a sample building in an indoor environment is captured using a mobile laser scanner and is analysed after registration and segmentation processes. The reconstructed model using the as-built data is compared with the existing 2D AutoCAD plans of the sample building and the traditional measurements in order to verify the accuracy of the proposed method. The results of this on-going study confirm that the proposed model development technique can serve as a reliable tool for accurate development of rapid as-built building models (rABM). The accuracy ranges from 5 to 30 mm, depending on the object size and position. The proposed algorithm was shown to be highly efficient in identifying the main visible components in the buildings. INTRODUCTION New technologies such as 3D laser scanners and building information modelling (BIM) offer great possibilities in the construction engineering area (Love et al. 2014; Porwal and Hewage 2013; Volk et al. 2014). Since the new technologies 209 Construction Research Congress 2014 ©ASCE 2014
21 citations
08 Jul 2014
TL;DR: In this article, the authors developed an efficient framework for as-built modeling in terms of time, cost and performance, which consists of eight key stages from data capturing to constructing the building information model.
Abstract: Recently it is observed that there is an increasing trend of using lidar point clouds in construction, since lidar is able to provide highly accurate 3dimensional representations of objects. The flip side of a lidar point cloud is its massive size and therefore prolonged time for data processing. Our research aims to develop an efficient framework for as-built modelling in terms of time, cost and performance. For this, we collected lidar point clouds using two different data collection methods (i.e. mobile and terrestrial lidar systems with a few centimetre level accuracy) and constructed solid 3-dimensional models of a building. The procedures of creating asbuilt models from both data acquisition methods are compared to understand the capability of each for automatic building information modelling. In order to create as-built models, a framework consisting of eight key stages from data capturing to constructing the building information model is developed. It was found that the framework using mobile lidar enables contractors to create as-built models for complex objects in a timely manner, whereas the framework using terrestrial lidar provides us with more accurate as-built information models. The implementation results of the two frameworks using mobile and terrestrial lidar systems vary between 5-30 mm and 1-45 mm, respectively. It is anticipated that the proposed study becomes a step forward to full automation of lidar-based building information modelling.
18 citations
13 May 2014
TL;DR: In this article, different patterns of strategies that vendor organizations use to influence their customers in the decision process are explored, understanding that the customer is not usually an individual in the organization but a much larger group of people, many of whom will not come into direct contact with the vendor's staff.
Abstract: New technologies are increasingly offered by vendors in the construction industry. Several studies in the literature have examined information technology adoption at the individual level, and how administrative and process innovations are diffused through the industry. However, vendors’ diffusion strategies for tools, plant and equipment from an organisational perspective have received very little attention. This paper explores the different patterns of strategies that vendor organisations use to influence their customers in the decision process, understanding that the customer is not usually an individual in the organisation but a much larger group of people, many of whom will not come into direct contact with the vendor’s staff. Vendors offer solutions to construction companies and support the decision makers by providing relevant information. It would be very helpful to recognise whether there are patterns in vendors’ diffusion strategies. Identifying the patterns and the basis of these patterns, such as particular technology types, would help customers predict the vendors’ role in technology adoption at an organisational level rather than at an individual level. Data about the activities and means of product presentation of vendors at a technology exhibition provided the basis for classification, analysis and pattern recognition. The identified patterns were subsequently validated using data from a second exhibition. The finding of the fuzzy analysis resulted in clustering the vendors into five classes according to three groups of technologies each with unique characteristics of behaviour. The presented classification pattern contributes to understanding the supportive strategies used by vendors to influence the decision of potential users.
7 citations
01 Jan 2014
TL;DR: In this article, a semi-structured interview protocol is developed and used to collect rich data from seventeen pre-selected interviewees and the qualitative data is analysed using thematic analysis techniques.
Abstract: Organisation attitudes and individual roles have critical input to the technology adoption process. This paper is the first attempt to investigate construction technology adoption based on organisation attitude, structure and interaction networks. This study investigates how different roles interact to make adoption decisions. A semi-structured interview protocol is developed and used to collect rich data from seventeen pre-selected interviewees. The qualitative data is analysed using thematic analysis techniques. The quantitative data is analysed using the analytic hierarchical process (AHP). The analysis found three distinctions based on the attitude of organisations to new technology, their structure and the interaction networks inside the organisations that have an effect on the technology adoption process.
1 citations