@article{noghabaei_liu_han_2022, title={Automated compatibility checking of prefabricated components using 3D as-built models and BIM}, volume={143}, ISSN={["1872-7891"]}, DOI={10.1016/j.autcon.2022.104566}, abstractNote={There have been recent efforts to use reality capture technologies to perform remote quality control in construction. However, there is a lack of research efforts in detecting construction incompatibilities in modular construction using reality capture technologies. The construction incompatibilities in modular construction often cause reworks and delays in the project schedule. To address this issue, this paper presents a general compatibility analysis method that propose scanning the modules in manufacturing plant and construction site, and check module-to-module compatibility remotely, prior to the shipment and installation. This study provides three sample module-to-module compatibility scenarios to validate the proposed compatibility analysis. The case study results show that the compatibility analysis method was able to identify the compatibility issues with high accuracy. Lastly, the compatibility analysis method was validated in terms of accuracy and time performance in six scenarios that was defined on the modules.}, journal={AUTOMATION IN CONSTRUCTION}, author={Noghabaei, Mojtaba and Liu, Yajie and Han, Kevin}, year={2022}, month={Nov} }
 @article{samadi_taghaddos_nili_noghabaei_2021, title={Development of a Bridge Maintenance System Using Bridge Information Modeling}, volume={54}, ISSN={["2423-6691"]}, DOI={10.22059/CEIJ.2020.298837.1661}, abstractNote={Bridges play a critical role in the transportation system network; accordingly, assuring satisfaction with the service level of these structures is vital for bridge maintenance managers. Thus, it is vital to determine the optimum bridge maintenance plan (i.e., the optimum timing and type of repair activities applied to the bridge elements) considering the budget limitations. To optimize the bridge maintenance plan, some researchers have focused on developing optimization models, including the Genetic Algorithm (GA). However, a few studies have employed Bridge Information Modeling (BrIM) to enhance bridge maintenance management. This study focuses on developing an integrated framework based on BrIM and bridge maintenance optimization to utilize visualization capabilities of BrIM to assist maintenance managers in making decisions. The presented framework optimizes the bridge maintenance plan at the sub-element level. The BrIM automatically feeds into the developed GA optimization system. The introduced framework is successfully verified using a real-world case study.}, number={2}, journal={CIVIL ENGINEERING INFRASTRUCTURES JOURNAL-CEIJ}, author={Samadi, D. and Taghaddos, H. and Nili, M. H. and Noghabaei, M.}, year={2021}, month={Dec}, pages={351–364} }
 @article{noghabaei_han_albert_2021, title={Feasibility Study to Identify Brain Activity and Eye-Tracking Features for Assessing Hazard Recognition Using Consumer-Grade Wearables in an Immersive Virtual Environment}, volume={147}, ISSN={["1943-7862"]}, url={https://doi.org/10.1061/(ASCE)CO.1943-7862.0002130}, DOI={10.1061/(ASCE)CO.1943-7862.0002130}, abstractNote={AbstractHazard recognition is vital to achieving effective safety management. Unmanaged or unrecognized hazards on construction sites can lead to unexpected accidents. Recent research has identifie...}, number={9}, journal={JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT}, author={Noghabaei, Mojtaba and Han, Kevin and Albert, Alex}, year={2021}, month={Sep} }
 @article{noghabaei_han_2021, title={Object manipulation in immersive virtual environments: Hand Motion tracking technology and snap-to-fit function}, volume={124}, ISSN={["1872-7891"]}, url={http://dx.doi.org/10.1016/j.autcon.2021.103594}, DOI={10.1016/j.autcon.2021.103594}, abstractNote={There have been recent efforts to use virtual reality and manipulation to train construction workers and inspection. However, there is a lack of research efforts comparing and evaluating virtual manipulation hardware for construction tasks. Moreover, the current practice of virtual manipulation has limited functionality to guide users with the placement of objects in virtual environments. To address these issues, this paper presents 1) a detailed case study that compares three types of manipulation hardware (image-based, infrared-based, and magnetic-based) for construction applications and 2) a snap-to-fit method that improves the VM through solving limitations of the advanced virtual reality interaction metaphors. The latter enhances the placement process for manipulation by comparing two models (e.g., scan and BIM models) for proper placement in assembly scenarios. The case study results show that magnetic-based systems outperform others in construction scenarios. Lastly, the snap-to-fit function was validated in terms of accuracy and time performance.}, journal={AUTOMATION IN CONSTRUCTION}, publisher={Elsevier BV}, author={Noghabaei, Mojtaba and Han, Kevin}, year={2021}, month={Apr} }
 @article{asadi_suresh_ender_gotad_maniyar_anand_noghabaei_han_lobaton_wu_2020, title={An integrated UGV-UAV system for construction site data collection}, volume={112}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85079118640&partnerID=MN8TOARS}, DOI={10.1016/j.autcon.2019.103068}, abstractNote={There have been recent efforts to increase the degree of automation and frequency of data collection for construction applications using Unmanned Aerial/Ground Vehicles (UAV/UGV). However, the current practice of data collection is traditionally performed, which is manual, costly, time-consuming, and error-prone. Developing vision-based mobile robotic systems that are aware of its surrounding and capable of autonomous navigation are becoming essential to many construction applications, namely surveying, monitoring, and inspection. Nevertheless, the systems above suffer from a series of performance issues. One major problem is inefficient navigation in indoor and cluttered scenes with many obstacles and barriers, where some places are inaccessible by a UGV. To provide a solution to this problem, this paper designs a UAV-UGV team that integrates two custom-built mobile robots. The UGV autonomously navigates through space, leveraging its sensors. The UAV acts as an external eye for the UGV, observing the scene from a vantage point that is inaccessible to the UGV. The relative pose of the UAV is estimated continuously, which allows it to maintain a fixed location that is relative to the UGV. The key aspects for the development of this system that is capable of autonomous navigation are the localization of both UAV and UGV, mapping of the surrounding environment, and efficient path planning using multiple sensors. The proposed system is tested in an indoor and cluttered construction-like environment. The performance of the system demonstrates the feasibility of developing and deploying a robust and automated data collection system for construction applications in the near future.}, journal={Automation in Construction}, publisher={Elsevier BV}, author={Asadi, Khashayar and Suresh, Akshay Kalkunte and Ender, Alper and Gotad, Siddhesh and Maniyar, Suraj and Anand, Smit and Noghabaei, Mojtaba and Han, Kevin and Lobaton, Edgar and Wu, Tianfu}, year={2020}, pages={103068} }
 @article{berglund_monroe_ahmed_noghabaei_do_pesantez_khaksar fasaee_bardaka_han_proestos_et al._2020, title={Smart Infrastructure: A Vision for the Role of the Civil Engineering Profession in Smart Cities}, volume={26}, ISSN={1076-0342 1943-555X}, url={http://dx.doi.org/10.1061/(ASCE)IS.1943-555X.0000549}, DOI={10.1061/(ASCE)IS.1943-555X.0000549}, abstractNote={AbstractSmart city programs provide a range of technologies that can be applied to solve infrastructure problems associated with ageing infrastructure and increasing demands. The potential for infr...}, number={2}, journal={Journal of Infrastructure Systems}, publisher={American Society of Civil Engineers (ASCE)}, author={Berglund, Emily Zechman and Monroe, Jacob G. and Ahmed, Ishtiak and Noghabaei, Mojtaba and Do, Jinung and Pesantez, Jorge E. and Khaksar Fasaee, Mohammad Ali and Bardaka, Eleni and Han, Kevin and Proestos, Giorgio T. and et al.}, year={2020}, month={Jun}, pages={03120001} }
 @article{noghabaei_heydarian_balali_han_2020, title={Trend Analysis on Adoption of Virtual and Augmented Reality in the Architecture, Engineering, and Construction Industry}, volume={5}, url={https://doi.org/10.3390/data5010026}, DOI={10.3390/data5010026}, abstractNote={With advances in Building Information Modeling (BIM), Virtual Reality (VR) and Augmented Reality (AR) technologies have many potential applications in the Architecture, Engineering, and Construction (AEC) industry. However, the AEC industry, relative to other industries, has been slow in adopting AR/VR technologies, partly due to lack of feasibility studies examining the actual cost of implementation versus an increase in profit. The main objectives of this paper are to understand the industry trends in adopting AR/VR technologies and identifying gaps within the industry. The identified gaps can lead to opportunities for developing new tools and finding new use cases. To achieve these goals, two rounds of a survey at two different time periods (a year apart) were conducted. Responses from 158 industry experts and researchers were analyzed to assess the current state, growth, and saving opportunities for AR/VR technologies for the AEC industry. The findings demonstrate that older generations are significantly more confident about the future of AR/VR technologies and they see more benefits in AR/VR utilization. Furthermore, the research results indicate that Residential and commercial sectors have adopted these tools the most, compared to other sectors and institutional and transportation sectors had the highest growth from 2017 to 2018. Industry experts anticipated a solid growth in the use of AR/VR technologies in 5 to 10 years, with the highest expectations towards healthcare. Ultimately, the findings show a significant increase in AR/VR utilization in the AEC industry from 2017 to 2018.}, number={1}, journal={Data}, publisher={MDPI AG}, author={Noghabaei, Mojtaba and Heydarian, Arsalan and Balali, Vahid and Han, Kevin}, year={2020}, month={Mar}, pages={26} }
 @article{asadi_ramshankar_noghabaei_han_2019, title={Real-Time Image Localization and Registration with BIM Using Perspective Alignment for Indoor Monitoring of Construction}, volume={33}, url={https://doi.org/10.1061/(ASCE)CP.1943-5487.0000847}, DOI={10.1061/(ASCE)CP.1943-5487.0000847}, abstractNote={AbstractConstruction performance monitoring has been identified as a key component that leads to the success of a construction project. Real-time and frequent monitoring will enable early detection...}, number={5}, journal={Journal of Computing in Civil Engineering}, publisher={American Society of Civil Engineers (ASCE)}, author={Asadi, Khashayar and Ramshankar, Hariharan and Noghabaei, Mojtaba and Han, Kevin}, year={2019}, month={Sep}, pages={04019031} }
 @article{noghabaei_heydarian_balali_han_2019, title={Trend Analysis on Adoption of Virtual and Augmented Reality in the Architecture, Engineering, and Construction Industry}, volume={12}, url={https://doi.org/10.20944/preprints201912.0369.v1}, DOI={10.20944/preprints201912.0369.v1}, abstractNote={With advances in Building Information Modeling (BIM), Virtual Reality (VR) and Augmented Reality (AR) technologies have many potential applications in the Architecture, Engineering, and Construction (AEC) industry. However, the AEC industry, relative to other industries, has been slow in adopting AR/VR technologies, partly due to lack of feasibility studies examining the actual cost of implementation versus an increase in profit. The main objectives of this paper are to understand the industry trends in adopting AR/VR technologies and identifying gaps within the industry. The identified gaps can lead to opportunities for developing new tools and finding new use cases. To achieve these goals, two rounds of a survey at two different time periods (a year apart) were conducted. Responses from 158 industry experts and researchers were analyzed to assess the current state, growth, and saving opportunities for AR/VR technologies for the AEC industry. The findings demonstrate that older generations are significantly more confident about the future of AR/VR technologies and they see more benefits in AR/VR utilization. Furthermore, the research results indicate that Residential and commercial sectors have adopted these tools the most, compared to other sectors and institutional and transportation sectors had the highest growth from 2017 to 2018. Industry experts anticipated a solid growth in the use of AR/VR technologies in 5 to 10 years, with the highest expectations towards healthcare. Ultimately, the findings show a significant increase in AR/VR utilization in the AEC industry from 2017 to 2018.}, publisher={MDPI AG}, author={Noghabaei, Mojtaba and Heydarian, Arsalan and Balali, Vahid and Han, Kevin}, year={2019}, month={Dec} }
 @inproceedings{noghabaei_asadi_han_2019, title={Virtual Manipulation in an Immersive Virtual Environment: Simulation of Virtual Assembly}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85068742514&partnerID=MN8TOARS}, DOI={10.1061/9780784482421.013}, abstractNote={To fill the lack of research efforts in virtual assembly of modules and training, this paper presents a virtual manipulation of building objects in an Immersive Virtual Environment (IVE). A worker wearing a Virtual Reality (VR) head-mounted device (HMD) virtually perform an assembly of multiple modules while identifying any issues. Hand motions of the worker are tracked by a motion sensor mounted on the HMD. The worker can be graded based on his/her overall performance and speed during this VR simulation. The developed VR simulation can ultimately enable workers to identify unforeseen issues (e.g., not enough clearance for an object to be installed). The presented method can solve current deficiencies in discrepancy detection in 3D scanned models of elements. The developed VR platform can also be used for interactive training and simulation sessions that can potentially improve efficiency and help achieve better work performance for assemblies of complex systems.}, booktitle={Computing in Civil Engineering 2019: Visualization, Information Modeling, and Simulation - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2019}, author={Noghabaei, M. and Asadi, K. and Han, K.}, year={2019}, pages={95–102} }
 @article{asadi_jain_qin_sun_noghabaei_cole_han_lobaton_2019, title={Vision-Based Obstacle Removal System for Autonomous Ground Vehicles Using a Robotic Arm}, url={http://dx.doi.org/10.1061/9780784482438.042}, DOI={10.1061/9780784482438.042}, abstractNote={Over the past few years, the use of camera-equipped robotic platforms for data collection and visually monitoring applications has exponentially grown. Cluttered construction sites with many objects (e.g., bricks, pipes, etc.) on the ground are challenging environments for a mobile unmanned ground vehicle (UGV) to navigate. To address this issue, this study presents a mobile UGV equipped with a stereo camera and a robotic arm that can remove obstacles along the UGV's path. To achieve this objective, the surrounding environment is captured by the stereo camera and obstacles are detected. The obstacle's relative location to the UGV is sent to the robotic arm module through Robot Operating System (ROS). Then, the robotic arm picks up and removes the obstacle. The proposed method will greatly enhance the degree of automation and the frequency of data collection for construction monitoring. The proposed system is validated through two case studies. The results successfully demonstrate the detection and removal of obstacles, serving as one of the enabling factors for developing an autonomous UGV with various construction operating applications.}, journal={Computing in Civil Engineering 2019}, publisher={American Society of Civil Engineers}, author={Asadi, Khashayar and Jain, Rahul and Qin, Ziqian and Sun, Mingda and Noghabaei, Mojtaba and Cole, Jeremy and Han, Kevin and Lobaton, Edgar}, year={2019}, month={Jun} }
 @inproceedings{balali_noghabaei_heydarian_han_2018, title={Improved Stakeholder Communication and Visualizations: Real-Time Interaction and Cost Estimation within Immersive Virtual Environments}, volume={2018-April}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85048677315&partnerID=MN8TOARS}, DOI={10.1061/9780784481264}, abstractNote={Selected papers from the Construction Research Congress 2018, held in New Orleans, Louisiana, April 2–4, 2018. Sponsored by the Construction Research Council and the Construction Institute of ASCE.}, booktitle={Construction Research Congress 2018: Construction Information Technology - Selected Papers from the Construction Research Congress 2018}, author={Balali, V. and Noghabaei, M. and Heydarian, A. and Han, K.}, year={2018}, pages={522–530} }
 @inproceedings{kayhani_taghaddos_noghabaee_hermann_2018, title={Utilization of virtual reality visualizations on heavy mobile crane planning for modular construction}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85053898828&partnerID=MN8TOARS}, booktitle={ISARC 2018 - 35th International Symposium on Automation and Robotics in Construction and International AEC/FM Hackathon: The Future of Building Things}, author={Kayhani, N. and Taghaddos, H. and Noghabaee, M. and Hermann, U.}, year={2018} }