Level: Advanced
TCM Section(s):
11.3. Information Management
0.0. General Reference
Venue: 2023 AACE International Conference & Expo
Abstract: A considerable body of literature exists to enhance the level of automation in object localization and tracking of construction operations. various technologies are used for this purpose including real-time location system (RTLS) and light-detection and ranging (LiDar) devices. In this study, a newly developed method for localization and tracking of objects in construction is introduced. The method utilized the technologies referred to above and examined the benefits of the integrated use of RTLS and 3D point cloud data acquired by the laser scanner. The method is supported and validated by a set of laboratory experiments considering three scenarios.In the first scenario, the use of radio frequency identification RFID-based method for object localization and tracking is experimented with. While in the second scenario, the use of 3D point cloud data for object recognition and localization is investigated. In the third scenario, the integrated use of these two sensory data is tested and utilized for enhancing the recognition and localization of objects.
TCM Section(s):
11.3. Information Management
0.0. General Reference
Venue: 2023 AACE International Conference & Expo
Abstract: A considerable body of literature exists to enhance the level of automation in object localization and tracking of construction operations. various technologies are used for this purpose including real-time location system (RTLS) and light-detection and ranging (LiDar) devices. In this study, a newly developed method for localization and tracking of objects in construction is introduced. The method utilized the technologies referred to above and examined the benefits of the integrated use of RTLS and 3D point cloud data acquired by the laser scanner. The method is supported and validated by a set of laboratory experiments considering three scenarios.In the first scenario, the use of radio frequency identification RFID-based method for object localization and tracking is experimented with. While in the second scenario, the use of 3D point cloud data for object recognition and localization is investigated. In the third scenario, the integrated use of these two sensory data is tested and utilized for enhancing the recognition and localization of objects.