Real-Time Image Localization and Registration with BIM Using Perspective Alignment for Indoor Monitoring of Construction

Author:

Asadi Khashayar1ORCID,Ramshankar Hariharan2,Noghabaei Mojtaba3ORCID,Han Kevin4ORCID

Affiliation:

1. Ph.D. Student, Dept. of Civil, Construction, and Environmental Engineering, North Carolina State Univ., Raleigh, NC 27606 (corresponding author). ORCID: .

2. Master Student, Dept. of Electrical and Computer Engineering, North Carolina State Univ., Raleigh, NC 27606.

3. Ph.D. Student, Dept. of Civil, Construction, and Environmental Engineering, North Carolina State Univ., Raleigh, NC 27606. ORCID:

4. Assistant Professor, Dept. of Civil, Construction, and Environmental Engineering, North Carolina State Univ., Raleigh, NC 27606. ORCID:

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Reference90 articles.

1. Building Rome in a day

2. Linear pose estimation from points or lines

3. Asadi K. 2018a. “Real-time image localization and registration with BIM using perspective alignment.” Accessed October 29 2018. https://youtu.be/sQFZNDo6zPk.

4. Asadi K. 2018b. “Restricting SLAM to re-localize in a global map with the same scale.” Accessed October 29 2018. https://youtu.be/SqbofWqoWXQ.

5. Asadi K. and K. Han. 2017. “Perspective-based image-to-BIM alignment for automated visual data collection and construction performance monitoring.” In Proc. Int. Workshop on Computing in Civil Engineering 2017 171–178. Reston VA: ASCE.

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