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dc.contributor.authorAthukorala, AMP
dc.contributor.authorAdikaram, WMIU
dc.contributor.authorKalugama, KNNB
dc.contributor.authorManuranga, KP
dc.date.accessioned2025-04-10T08:38:22Z
dc.date.available2025-04-10T08:38:22Z
dc.date.issued2024-09
dc.identifier.urihttp://ir.kdu.ac.lk/handle/345/8468
dc.description.abstractThe field of land surveying has been influenced by the development of modern technology over the years. Modern instruments have made data collection faster, easier, and more efficient. The surveying instruments have been made lightweight, compact, and user-friendly in the present. Light Detection & Ranging (LiDAR) is one such sophisticated technology that has revolutionized the field of land surveying. However, the affordability of such sophisticated instruments for surveyors in developing countries has become an issue. In such situations, the ability to utilize already available technology to perform surveying tasks would become much more helpful. This paper presents the using LiDAR sensors that are built into smartphones as a viable option for surveying outer boundaries. The LiDAR sensors in smartphones are designed to assist in computer vision tasks such as biometrics and image enhancement even though the working principle of the LiDAR sensor remains the same. By using the assistance of other sensors integrated into the smartphone and the smartphone camera itself, spatial data collection can be done. This study compares the accuracy of the outer boundary survey of smartphone LiDAR with the surveys done using Total Station (TS). The results of the study show that the extent generated from different land plots using smartphone LiDAR has little variation to the extent generated from the data collected using Total Station.en_US
dc.language.isoenen_US
dc.subjectLiDARen_US
dc.subjectLand surveyingen_US
dc.subjectOuter boundary surveysen_US
dc.subjectTSen_US
dc.subjectSmartphone LiDARen_US
dc.titleInvestigating the Reliability of Smartphone LiDAR for Outer Boundary Surveysen_US
dc.typeArticle Full Texten_US
dc.identifier.facultyFaculty of Built Environment and Spatial Sciencesen_US
dc.identifier.journal17th International Research conferenceen_US
dc.identifier.pgnos173-177en_US


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