Thesis Abstract

Abstract
This thesis explores the integration of Light Detection and Ranging (LiDAR) and Unmanned Aerial Vehicle (UAV) data for the purpose of achieving accurate 3D mapping in urban environments. The use of LiDAR and UAV technologies has gained significant attention in recent years due to their ability to capture high-resolution geospatial data efficiently. However, the integration of these two technologies presents a promising solution to enhance the accuracy and efficiency of 3D mapping in complex urban landscapes. The research begins with a comprehensive literature review in Chapter Two, which examines the existing studies and technologies related to LiDAR, UAV, and 3D mapping. This review provides a foundation for understanding the current state of the field and identifies gaps that the present research aims to address. Chapter Three outlines the research methodology, including data collection techniques, data processing procedures, and the integration of LiDAR and UAV data. It also discusses the selection of study areas within urban environments to test the proposed integration approach. Chapter Four presents the findings of the study, which demonstrate the effectiveness of integrating LiDAR and UAV data for accurate 3D mapping in urban environments. The results reveal the improved accuracy and detail achieved through this integration compared to using either technology independently. The discussion delves into the challenges faced during data collection, processing, and integration, as well as the potential applications and implications of the research findings. In conclusion, Chapter Five summarizes the key findings of the research and offers insights into the future directions of integrating LiDAR and UAV data for 3D mapping in urban environments. The study highlights the significance of this integration approach in improving the efficiency and accuracy of mapping complex urban landscapes, with potential applications in urban planning, infrastructure development, environmental monitoring, and disaster management. Overall, this thesis contributes to the growing body of knowledge on geospatial technologies and their applications in urban environments. By showcasing the benefits of integrating LiDAR and UAV data for 3D mapping, this research offers valuable insights for researchers, practitioners, and policymakers seeking innovative solutions for addressing urban challenges.

Thesis Overview

The project titled "Integration of LiDAR and UAV data for accurate 3D mapping in urban environments" focuses on the utilization of LiDAR (Light Detection and Ranging) and UAV (Unmanned Aerial Vehicle) technology to enhance the precision and efficiency of 3D mapping in urban settings. This research aims to address the growing demand for detailed and up-to-date spatial data in urban areas for various applications such as urban planning, infrastructure development, environmental monitoring, and disaster management. LiDAR technology enables the collection of high-resolution elevation data by emitting laser pulses and measuring the time taken for the light to return, providing detailed information on the terrain and structures in the urban environment. On the other hand, UAVs equipped with cameras and sensors offer a flexible and cost-effective means of capturing aerial imagery with high spatial resolution. By integrating LiDAR and UAV data, this project seeks to overcome the limitations of traditional mapping methods and provide a comprehensive and accurate representation of urban landscapes in three dimensions. The combination of these technologies allows for the creation of detailed 3D models that can be used for various purposes, including urban modeling, flood risk assessment, and infrastructure planning. The research methodology involves collecting LiDAR and UAV data in selected urban areas, processing the data using advanced software tools, and analyzing the results to evaluate the accuracy and effectiveness of the integrated approach. By comparing the 3D maps generated from the combined data with ground truth information, the study aims to assess the reliability and applicability of the proposed method for urban mapping tasks. The significance of this research lies in its potential to revolutionize the way urban environments are mapped and analyzed, providing valuable insights for decision-makers, planners, and researchers. The integration of LiDAR and UAV data offers a powerful tool for creating detailed and reliable 3D models that can support a wide range of urban planning and management activities. In conclusion, the "Integration of LiDAR and UAV data for accurate 3D mapping in urban environments" project represents a cutting-edge approach to urban mapping that leverages the strengths of LiDAR technology and UAVs to enhance the precision, efficiency, and quality of spatial data collection and analysis in urban areas. This research has the potential to contribute significantly to the advancement of geospatial technologies and their applications in urban planning and management.