A5047307592- 3D Surveying and Cultural Heritage
- Robotics and Sensor-Based Localization
- Augmented Reality Applications
- Hand Gesture Recognition Systems
- BIM and Construction Integration
- Manufacturing Process and Optimization
- Occupational Health and Safety Research
- Hydraulic and Pneumatic Systems
- Remote Sensing and LiDAR Applications
Korea National University of Transportation
2024
Hanyang University
2019-2021
Anyang University
2020
Augmented reality can improve construction and facility management by visualizing an as-planned model on its corresponding surface for fast, easy, correct information retrieval. This requires the localization registration of as-built in model. However, indoor environments fail, owing to self-similarity environment, relatively large models, presence additional unplanned objects. Therefore, this paper proposes a computer vision-based method (1) homogenize (2) reduce search space matching, (3)...
For interactive visualization in AR devices, feature descriptors of point clouds (as-designed model and as-built model) are corresponded registered. However, cloud indoor environment has lots similar (e.g., scene with doors windows), which leads to many false correspondences affect registration accuracy. This paper proposes a random sample consensus (RANSAC)-based correspondence rejection compute accurate transformation for the such 3D clouds. Point data is collected from rooms hallway...
Augmented reality (AR) is evolving as an onsite visualization tool that can facilitate expedited retrieval and enhanced comprehension of design information in field settings. However, traditional approaches, such marker-based markerless AR, either require additional time effort for marker installation maintenance or face challenges recognizing reference targets stemming from the self-similarity indoor environments. By leveraging benefits offered by both this study investigates suitability...
Railway transportation plays a vital role in modern society, enabling the safe and efficient movement of people goods over long distances. To ensure longevity safety railway infrastructure, regular maintenance tracks is crucial. Traditional track inspections, conducted manually to monitor geometric parameters identify defects, are time-consuming, labor-intensive, prone human error. Current Scan-to-BIM frameworks for also lack standardized methods extracting that can be easily integrated into...