Reconstruction of 3d Accident Scene From Multirotor Uav Platform

Amin, M. A. Mat; Abdullah, Shapina; Mukti, S. N. Abdul; Zaidi, M. H. A. Mohd; Tahar, Khairul Nizam

doi:10.5194/isprs-archives-xliii-b2-2020-451-2020

Cited by 7 publications

(8 citation statements)

References 11 publications

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“…Amin et al [24] stated that the accuracy for the POI technique was 0.059 m and the waypoint technique was 0.043 m. Desai et al [34] mentioned that the scale errors of 3D reconstructed accident scene using the waypoint technique was about 0.039 m. Almeshal et al [35] achieved the accuracy of 3D accident scenes was about 0.047 m. This study has produced 3D results of accident scenes with an accuracy of 0.047 m for the circular technique and 0.06 m for the double grid technique. Therefore, the results achieved in this study were nearly similar to the previous studies.…”

Section: Resultsmentioning

confidence: 99%

Reconstructing 3D model of accident scene using drone image processing

Norahim¹,

Tahar

Maharjan

et al. 2023

IJECE

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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.

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Section: Resultsmentioning

confidence: 99%

Reconstructing 3D model of accident scene using drone image processing

Norahim¹,

Tahar

Maharjan

et al. 2023

IJECE

View full text Add to dashboard Cite

show abstract

“…To evaluate the efficiency of this proof of concept, we compared a few studies to our own study, evaluating major parameters like root mean square error (RMSE), using/not using GCPs, flight time, overlaps of images, etc. The authors of [7] used two techniques for data acquisition (waypoints and points of interest). RMSE was 43 mm and 59 mm, respectively, flight height was approx.…”

Section: Discussionmentioning

confidence: 99%

“…We positioned three cars (A, B, C) to simulate a real traffic accident, around which we set rectangular (1, 2, 3, 4) and round (8) objects with known dimensions and three points designated to the distance measurements (5,6,7). After each of the flights, we measured three distances between given points (5,6,7). The trajectory of the third flight is also depicted.…”

Section: Proposed Rpas Methodsmentioning

confidence: 99%

“…Several studies [3][4][5][6][7][8] discuss data usability obtained from low-cost RPAS. The authors of [4] tested the accuracy and effectiveness of this data for traffic accident scene documen-tation.…”

Section: Introductionmentioning

confidence: 99%

“…They also mention the creation of a 3D model of vehicles. The authors of [7] presented the creation of 2D and 3D models of the traffic accident site. They also used RPAS for large-scale traffic accident (e.g., aircraft accident) documentation [8].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fast and High Precise Spatial Documentation of Traffic Accident Site Using Only Low-Cost RPAS

Stuchlík

Kubíček

2021

Applied Sciences

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Traffic accident documentation worldwide is generally done by conventional methods (e.g., surveying wheel and steel tapeline) followed by sketch and plan creation. These conventional methods are time-consuming and inaccurate; therefore, they can possibly be replaced by advanced modern methods, using the remotely piloted aircraft system (RPAS) for obtaining data, as well as the structure from motion (SfM) for processing. For the proof of concept, we designed and performed an experiment using low-cost multi-rotor RPAS on an arranged traffic accident involving three cars. The result of this experiment was an accurate 3D model with the possibility of precise measurement. The differences in distances and reference objects’ dimensions were in general below 1% compared to real values. The presented method is time-saving (requiring 85% less time), more precise, and more efficient compared to conventional methods. Moreover, it allows better data reusability, thus is very suitable and can be recommended for usage in routine situations in traffic accident documentation.

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3D Forensic Crime Scene Reconstruction Involving Immersive Technology: A Systematic Literature Review

Maneli

Isafiade

2022

IEEE Access

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Recreation of 3D crime scenes is critical for law enforcement in the investigation of serious crimes for criminal justice responses. This work presents a premier systematic literature review (SLR) that offers a structured, methodical, and rigorous approach to understanding the trend of research in 3D crime scene reconstruction as well as tools, technologies, methods, and techniques employed thereof in the last 17 years. Major credible scholarly database sources, Scopus, and Google Scholar, which index journals and conferences that are promoted by entities such as IEEE, ACM, Elsevier, and SpringerLink were explored as data sources. Of the initial 17, 912 papers that resulted from the first search string, 258 were found to be relevant to our research questions after implementing the inclusion and exclusion criteria. To summarize the existing efforts, we compared and analysed various classical 3D reconstruction approaches. This study presents the first comprehensive review of key milestones in the development of methods for 3D crime scene reconstruction, gaps for improvement and where immersive technology has been used to enhance crime scene findings. This study found that the implementation of light detection and ranging (LiDAR) scanners and immersive technologies, alongside traditional methods, has been beneficial in the recreation of crime scenes. The SLR is limited to existing applications with peer-reviewed papers published between 2005 and 2021. Results based on the analysed published data indicated that 20.2% of the articles implemented immersive technologies in crime scene reconstruction, of which Augmented Reality (AR) accounted for 15.3%, Virtual Reality (VR) accounted for 75%, Mixed reality (MR) accounted for 5.9% and VR and AR mixture accounted for 3.8%. Finally, we summarize the development trend of design and key technology prospects of crime scene recreation using immersive technology and provide insights into potential future research. To the best of the researchers' knowledge, this is the first survey that accomplishes such goals.

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Reconstruction of 3d Accident Scene From Multirotor Uav Platform

Cited by 7 publications

References 11 publications

Reconstructing 3D model of accident scene using drone image processing

Reconstructing 3D model of accident scene using drone image processing

Fast and High Precise Spatial Documentation of Traffic Accident Site Using Only Low-Cost RPAS

3D Forensic Crime Scene Reconstruction Involving Immersive Technology: A Systematic Literature Review

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