Application of Unmanned Aerial Vehicle for Mapping and Modeling of Indian Mines

Stalin, Jhonny; Gnanaprakasam, R. C. P.

doi:10.1007/s12524-020-01118-3

Cited by 9 publications

(7 citation statements)

References 2 publications

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“…In the dynamic road network management scheme, the real-time data collection system, traffic flow prediction model, dynamic route planning algorithm, and real-time traffic management strategy work closely together to build a comprehensive management framework. The operation of this framework began with the installation of sensors at key points in the mining road network, which are responsible for collecting information on the location, speed, and route selection of vehicles, as well as road condition data, such as congestion, construction areas, and temporary roadblocks [14].…”

Section: Dynamic Road Network Managementmentioning

confidence: 99%

Models for Optimizing Traffic Flow in Unmanned Mining Road Networks Based on High-precision Maps

2024

ieim

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This article proposed a high-precision map based traffic flow optimization model for unmanned mining road networks, aiming to optimize the flow of unmanned vehicles inside the mine through accurate map information and advanced algorithms, reduce traffic congestion, and improve transportation efficiency. By constructing high-precision maps and using graph theory and machine learning algorithms, the road network traffic flow of unmanned mining vehicles was optimized. The four experimental conclusions in the experimental stage indicated that the research model could effectively optimize the traffic flow of unmanned mining vehicles, and improve the efficiency and safety of mining operations. The effectiveness and practicality of the model were comprehensively validated through four experiments during the research phase. In the first road network efficiency evaluation experiment, the average speed of unmanned vehicles increased from 20 km/h to 30 km/h, and the average travel time decreased from 30 minutes to 20 minutes. In the traffic congestion experiment, the research model reduced the congestion relief time from 45 minutes to 25 minutes under high flow conditions of 150 vehicles per hour. In the dynamic route adjustment experiment, when encountering unexpected events, the optimized response time was reduced from 45 minutes for Event 1 to 30 minutes, and from 40 minutes to 25 minutes for Event 2. In the final safety performance evaluation experiment, the optimized accident rate decreased from 0.8 to 0.3; the number of violations decreased from 120 to 40; the number of emergency braking events also decreased from 90 to 30. From the data conclusion, it can be seen that the traffic flow optimization model for unmanned mining vehicles based on high-precision maps has shown significant effects in improving traffic efficiency, reducing congestion, enhancing dynamic route adjustment ability, and enhancing safety, fully verifying its application value in the process of mining automation and intelligence.

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Section: Dynamic Road Network Managementmentioning

confidence: 99%

Models for Optimizing Traffic Flow in Unmanned Mining Road Networks Based on High-precision Maps

2024

ieim

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“… – 51 Therefore, for evaluating the accuracy and quality of UAS-SfM in 3D reconstruction, rigorous accuracy assessment is required, which entails practical comparative studies. It should be noted that while UAS-SfM has been widely used for volumetric surveys, 36 , 52 , 53 there is a significant gap in the literature regarding the validation of its volumetric accuracy for complex vertical structures. For volumetric accuracy assessment, most studies have used UAS-SfM-derived digital surface models (DSMs) for volume calculation of stockpiles and opencast mines, 9 , 43 , 46 , 53 , 54 but this method cannot accurately compute the volume of objects with more vertical details, such as buildings with overhanging elements 36 , 55 .…”

Section: Literature Reviewmentioning

confidence: 99%

“…It should be noted that while UAS-SfM has been widely used for volumetric surveys, 36 , 52 , 53 there is a significant gap in the literature regarding the validation of its volumetric accuracy for complex vertical structures. For volumetric accuracy assessment, most studies have used UAS-SfM-derived digital surface models (DSMs) for volume calculation of stockpiles and opencast mines, 9 , 43 , 46 , 53 , 54 but this method cannot accurately compute the volume of objects with more vertical details, such as buildings with overhanging elements 36 , 55 . Therefore, further analysis and evaluation of UAS-SfM point cloud accuracy are necessary to accurately calculate the volume of complex structures that cannot be achieved using a DSM.…”

Section: Literature Reviewmentioning

confidence: 99%

Accuracy evaluation of UAS photogrammetry and structure from motion in 3D modeling and volumetric calculations

Deliry

Avdan

2023

J. Appl. Rem. Sens.

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Photogrammetric surveying using unmanned aerial systems (UAS) and structure from motion (SfM) is a rapidly emerging technique that has been widely used as a valuable research tool in geodesy and related disciplines. We studied surveying and three-dimensional (3D) modeling based on UAS and SfM. In particular, we focus on the accuracy and quality of UAS-SfM in 3D modeling and volumetric calculation of a building with an overhanging feature. For this purpose, two aerial surveys were performed using a fixed-wing and a multirotor aircraft with nadir and oblique camera axes. For validating the results, field surveys were carried out using terrestrial laser scanner (TLS), differential global navigation satellite system, and total station. To study the performance of SfM software on the accuracy and quality of point clouds, UAS images were processed using three software packages: Agisoft PhotoScan, Pix4Dmapper, and 3Dsurvey. As a result of photogrammetric image processing, 3D dense point clouds, mesh models, and digital surface models were generated. For validating the UAS-SfM results, the models were compared with the TLS model and field measurements; absolute accuracy assessments and model versus model comparisons were performed. The most accurate and high-quality 3D models comparable to TLS models were obtained from oblique images. PhotoScan generated relatively more accurate 3D models with the horizontal and vertical accuracy of root mean square error 0.025 and 0.02 m, respectively. The maximum discrepancies in dimensions and volume measurements from the UAS-SfM-derived point cloud were at the level of 0.01 m and 0.66 m 3 (0.03%). The results highlighted that using a lowcost UAS and SfM photogrammetry, high-accuracy and high-quality 3D models can be generated. The results confirm that with respect to its rapid data acquisition and centimeter-level accuracy, UAS-SfM can be considered as a suitable alternative approach to conventional measurement techniques, especially in engineering and emergency response.

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“…The material parameters, failure criterion, and stability analysis method are entered to perform three-dimensional stability analysis and obtain a 3D global critical slip surface of the slope (Congress & Puppala, 2021). By combining output of thematic layers from high to low, identification of the most unstable area can be identified (Leo Stalin & Gnanaprakasam, 2020). Fig.…”

Section: Understanding the Earth Structurementioning

confidence: 99%

Application of Unmanned Aerial Vehicle (UAV) in Terrain Mapping: Systematic Literature Review

Nordin¹,

Salleh²

2022

IJSCET

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Unmanned Aerial Vehicle (UAV) is an advanced technology that can be control remotely. It hovers up in the air and travel with different height and distance depending on the capability of the UAV. Originally, this technology was invented for military practice. Now, the innovation of UAV is growing and have contribute to various field including terrain mapping in surveying work. Carrying out mapping task in terrain such as mountain, valley, plateau, or rainforest can be a difficult task in-terms of time, practicality and cost. Another challenge is when the survey area is permanently clouded over and the limited availability of aircraft platforms and the orbit features of satellites causing difficulties to obtain high quality photos. Therefore, there are much research that used UAV technology to do mapping work and obtain Digital Terrain Model (DTM), Digital Surface Model (DSM) and Digital Elevation Model for various purposes. In this study, systematic literature review using thematic analysis methodology was used to review, evaluate and combine relevant literature review. The aim of this study is to categorise the application for terrain mapping using UAV and also to identify the system and result improvement of UAV during the usage in terrain mapping. From the thematic analysis, two themes which are understanding the earth structure with the subtheme of geotechnical study, geomorphological study and flood study and UAV system improvement with the subtheme of accuracy assessment, accuracy enhancement and resolution were formed.

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Application of Unmanned Aerial Vehicle for Mapping and Modeling of Indian Mines

Cited by 9 publications

References 2 publications

Models for Optimizing Traffic Flow in Unmanned Mining Road Networks Based on High-precision Maps

Models for Optimizing Traffic Flow in Unmanned Mining Road Networks Based on High-precision Maps

Accuracy evaluation of UAS photogrammetry and structure from motion in 3D modeling and volumetric calculations

Application of Unmanned Aerial Vehicle (UAV) in Terrain Mapping: Systematic Literature Review

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