Scanning surfaces with consumer-grade LiDAR devices for landscape surveys


The goal of this project is to evaluate and compare different 3D scanning methods with consumer-grade LiDAR-enabled devices in the context of landscape surveys. The methods include photogrammetry, LiDAR-based depth estimation, and RGBD-odometry. In addition to comparing popular 3D scanning apps, this study evaluates the accuracy, reliability, and suitability of each method for various applications. The selected apps and methods are evaluated in different usage contexts and the underlying technologies and frameworks are identified. The evaluation methodology includes scanning different objects and areas, analyzing the scan quality, and assessing the ease of use of each method and application. The results of the study reveal the strengths and weaknesses of each method and the best scenarios to use them. This study aims to provide valuable insights into the performance of various 3D scanning methods and help users make informed decisions when selecting the most appropriate method for their specific needs. Beyond that, prototypes are created to investigate capabilities and limitations beyond the ones observed in available 3D scanning apps and also to assess the available components and development efforts for creating custom solutions to access capabilities not present in available 3D scanning apps and overcome limitations present in available 3D scanning apps.

Project Details

Project Staff: Philip Makedonski, Götz Thomas, Matthias Pfeilsticker
March, 2022 to September, 2023
2024 © Software Engineering For Distributed Systems Group

Main menu 2