• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Artikel
  4. A Study on the Effect of Multispectral LiDAR Data on Automated Semantic Segmentation of 3D-Point Clouds
 
  • Details
  • Full
Options
2022
Journal Article
Title

A Study on the Effect of Multispectral LiDAR Data on Automated Semantic Segmentation of 3D-Point Clouds

Abstract
Mobile mapping is an application field of ever-increasing relevance. Data of the surrounding environment is typically captured using combinations of LiDAR systems and cameras. The large amounts of measurement data are then processed and interpreted, which is often done automated using neural networks. For the evaluation the data of the LiDAR and the cameras needs to be fused, which requires a reliable calibration of the sensors. Segmentation solemnly on the LiDAR data drastically decreases the amount of data and makes the complex data fusion process obsolete but on the other hand often performs poorly due to the lack of information about the surface remission properties. The work at hand evaluates the effect of a novel multispectral LiDAR system on automated semantic segmentation of 3D-point clouds to overcome this downside. Besides the presentation of the multispectral LiDAR system and its implementation on a mobile mapping vehicle, the point cloud processing and the training of the CNN are described in detail. The results show a significant increase in the mIoU when using the additional information from the multispectral channel compared to just 3D and intensity information. The impact on the IoU was found to be strongly dependent on the class.
Author(s)
Vierhub-Lorenz, Valentin  
Fraunhofer-Institut für Physikalische Messtechnik IPM  
Kellner, Maximilian  
Fraunhofer-Institut für Physikalische Messtechnik IPM  
Zipfel, Oliver
Fraunhofer-Institut für Physikalische Messtechnik IPM  
Reiterer, Alexander  
Fraunhofer-Institut für Physikalische Messtechnik IPM  
Journal
Remote sensing  
Open Access
DOI
10.3390/rs14246349
Additional full text version
Landing Page
Language
English
Fraunhofer-Institut für Physikalische Messtechnik IPM  
Keyword(s)
  • Mobile mapping

  • Multispectral LiDAR

  • Convolutional neural network (CNN)

  • Deep learning

  • Semantic segmentation

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024