Integration of LiDAR and UAV technology for accurate mapping and monitoring of urban infrastructure

Thesis Abstract

Abstract
The integration of Light Detection and Ranging (LiDAR) and Unmanned Aerial Vehicle (UAV) technology has gained significant attention in recent years for its potential in enhancing the accuracy and efficiency of mapping and monitoring urban infrastructure. This thesis explores the utilization of LiDAR and UAV technology in the context of urban infrastructure mapping to address the growing demand for precise and up-to-date spatial data. The research focuses on investigating the capabilities of LiDAR and UAV technology in generating high-resolution geospatial data for urban infrastructure monitoring and management. The introduction section provides an overview of the research problem and the significance of integrating LiDAR and UAV technology in urban infrastructure mapping. The background of the study highlights the evolution of LiDAR and UAV technology and their applications in geospatial mapping. The problem statement identifies the current challenges and limitations in traditional urban infrastructure mapping methods, emphasizing the need for advanced technologies like LiDAR and UAV. The objectives of the study include evaluating the accuracy and efficiency of LiDAR and UAV technology in urban infrastructure mapping, assessing the feasibility of integrating these technologies into existing mapping workflows, and exploring the potential benefits for urban planning and management. The study also addresses the limitations and constraints associated with the use of LiDAR and UAV technology in urban mapping and defines the scope of the research. The literature review chapter presents a comprehensive analysis of existing research and studies related to LiDAR, UAV technology, and urban infrastructure mapping. The review covers topics such as LiDAR data acquisition techniques, UAV platforms and sensors, data processing algorithms, and applications of LiDAR and UAV technology in urban planning and management. The research methodology chapter outlines the research design, data collection methods, and data analysis techniques employed in the study. It discusses the process of data acquisition using LiDAR and UAV technology, data processing workflows, and the integration of spatial data into Geographic Information Systems (GIS) for analysis and visualization. The findings chapter presents a detailed discussion of the results obtained from the application of LiDAR and UAV technology in urban infrastructure mapping. It highlights the accuracy of the generated geospatial data, the efficiency of data acquisition workflows, and the potential applications of LiDAR and UAV technology in urban planning, disaster management, and infrastructure maintenance. Finally, the conclusion and summary chapter provide a synthesis of the key findings, implications of the research, and recommendations for future studies. The thesis concludes with a discussion on the contributions of integrating LiDAR and UAV technology in urban infrastructure mapping and its potential impact on improving urban planning and management practices. In conclusion, this thesis contributes to the ongoing research efforts in the field of geospatial technology by demonstrating the effectiveness of integrating LiDAR and UAV technology for accurate mapping and monitoring of urban infrastructure. The findings of this study have practical implications for urban planners, policymakers, and researchers seeking innovative solutions for urban development and infrastructure management.