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All Journal International Journal of Electrical and Computer Engineering Indonesian Journal of Electrical Engineering and Computer Science
Khairul Nizam Tahar
Universiti Teknologi MARA
Computer Science & IT Electrical & Electronics Engineering

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Semi-automatic building footprint using multirotor and fixed wing UAV Nabila Ismail; Khairul Nizam Tahar
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 3: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i3.pp1298-1305

Abstract

The current techniques to extract building footprints frequently involve Light Detection and Ranging (LiDAR), as well as satellite images. The UAV is proposed to acquire aerial imagery in this study as it is more efficient, time-efficient, and inexpensive, especially for small budget projects. Hence, this study evaluated the building footprints from different UAV platforms. The objectives of this study are to perform the different UAV image processing of building footprints using fixed-wing UAV and multi-rotor UAV, as well as to analyse the outcomes of building footprints from different UAV platforms with existing layout plans. The methodology begins with a preliminary study, and continued with acquisition of data via UAV, data processing, and lastly, analyses of the outcome from different platforms. Based on the analysis in terms of area, the accuracy gained by using multi rotor UAV had been better than that for fixed wing UAV with area difference of 13.648 m² compared to 18.091 m². Lastly, it can be summarised that the area displayed better results with multi rotor UAV, in comparison to the area obtained by using fixed wing UAV. Thus, it is recommended for future studies to use other UAV platforms and other methods for extraction of building footprints, such as orthoimages and digital elevation model.
Reconstructing 3D model of accident scene using drone image processing Mohamad Norsyafiq Iman Norahim; Khairul Nizam Tahar; Gyanu Raja Maharjan; Jose C. Matos
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 4: August 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i4.pp4087-4100

Abstract

At the current stage, an investigation technique on the accident takes a longer time and this causes longer traffic congestion. The aim of this study is to reconstruct a 3D model of an accident scene using an unmanned aerial vehicle (UAV). The flight parameters that have been chosen are the circular method, the double grid method, and the single grid method. All these designs can produce a good 3D model to achieve the study’s objective. The methodology in this study is divided into 4 phases which are preliminary work, data acquisition, data processing, and data analysis. The main results of this study are the 3D model of the accident scene, an orthophoto map layout, and an accuracy assessment of a 3D model of reconstructed accident scene. All these parameters will be tested on accuracy based on the root mean square error (RMSE) value, comparing the UAV data and site measurement data. This objective has been tested for 10 different types of processing and different types of flight parameters. The best result among all the methods is the circular method 5 meters with ground control point (GCP) since this method has the least RMSE value which is 0.047 m. UAVs can replace the site measurement to reconstruct the accident scene.
Co-Authors Gyanu Raja Maharjan Jose C. Matos Mohamad Norsyafiq Iman Norahim Nabila Ismail