3D Indoor Building Reconstruction: Rangefinder Calibration.pdf

isprsannals-II-2-W2-29-2015.pdf
Preview of 3D Indoor Building Reconstruction: Rangefinder Calibration
🔗 Source: isprs-annals.copernicus.org
📊 Size: 1.98 MB
👤 Author: 3DGIS User
⬇️ Downloads: 40

Summary

Key points include:

- Municipalities increasingly require 3D city models for management and planning purposes.
- Indoor 3D data acquisition is costly and time-consuming, typically using Electronic Distance Measurement (EDM) and Terrestrial Laser Scanner (TLS).
- The Trimble LaserAce 1000 range finder is investigated as a faster and cheaper alternative for indoor data acquisition.
- The range finder's accuracy is evaluated, and a simple 3D model is reconstructed from real data, showing inconsistencies in horizontal angles for short distances.
- A least square adjustment algorithm is used to calibrate the range finder.
- Interval analysis and homotopy continuation are employed to control uncertainties in calibration and building reconstruction.
- The study compares the Trimble LaserAce 1000 with a Leica scanstation C10 for validation.
- The paper reviews indoor building data acquisition techniques, discusses range finder calibration, and addresses uncertainty control.
- Future research is suggested to further improve the method.

Description

3D indoor building reconstruction using rangefinder data calibration.

Technical Information

  • File Format: PDF
  • File Size: 1.98 MB
  • Pages: 6
  • Language: EN
  • Author: 3DGIS User
  • Total Downloads: 40
  • Last Updated: 3 days ago

Document Overview

This PDF document about 3D Indoor Building Reconstruction: Rangefinder Calibration provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into 3D Indoor Building Reconstruction: Rangefinder Calibration.

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