Real-Time Laser Sensor Data Acquisition and Three-Dimensional Image Reconstruction

Abstract

A three-dimensional object can be measured and represented as a gray scale set of points through the use of LiDAR sensor with high spatial accuracy. The ability to quickly measure and represent tree canopy profile in 3D is extremely useful in many applications in precision agriculture. In this paper, we developed a software program to characterize a tree canopy profile and to reconstruct 3D image in real time. The developed program can process 2D laser sensor raw data to reconstruct a pseudo-color 3D image in real time. The program was written in C++ and MATLAB programing languages. The software program was tested on specially designed indoor LiDAR-based canopy profile measurement platform. During the test two artificial trees (tree-1 and tree-2) were used as target objects. The reconstructed 3D image and data analysis results showed that the performance of the developed program to reconstruct 3D image in real time is relatively well at low travel speed ranged from 1.0m/s to 2m/s and detection distances ranged from 1.5m to 2.0m.

Authors and Affiliations

Destaw Addis, Fida Hussain

Keywords

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  • EP ID EP31190
  • DOI -
  • Views 355
  • Downloads 3

How To Cite

Destaw Addis, Fida Hussain (2017). Real-Time Laser Sensor Data Acquisition and Three-Dimensional Image Reconstruction. International Journal of Interdisciplinary and Multidisciplinary Studies (IJIMS), 4(3), -. https://europub.co.uk/articles/-A-31190