Drone-Based Predictive Structure Analysis: A Review

Trushant Patil; Durgesh Nandan; Kanhaiya Sharma; Deepak Parashar

doi:10.1109/ICSEIET58677.2023.10303439

Drone-Based Predictive Structure Analysis: A Review

Trushant Patil
, Durgesh Nandan
, Kanhaiya Sharma
, Deepak Parashar

School of Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

Drone-based predictive structure analysis is a rapidly growing field that has the potential to revolutionize infrastructure and building inspection. In this review of the research, we give a general overview of how drones could increase the effectiveness and precision of structural analysis, particularly for keeping an eye on difficult-to-reach locations. The usage of drones for 3D mapping, inspection, and monitoring of diverse constructions, such as concrete buildings, bridges, tunnels, and dams. The investigations show that drone-based inspection can produce 3D models and high-resolution photos, allowing for remote monitoring and the early identification of possible problems. The findings show that drones may greatly boost infrastructure management's safety and effectiveness, making them an important tool for predictive structural research.

Original language	English
Title of host publication	2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	768-773
Number of pages	6
ISBN (Electronic)	9798350329186
DOIs	https://doi.org/10.1109/ICSEIET58677.2023.10303439
Publication status	Published - 2023
Event	2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023 - Ghaziabad, India Duration: 14-09-2023 → 15-09-2023

Publication series

Name	2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023

Conference

Conference	2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023
Country/Territory	India
City	Ghaziabad
Period	14-09-23 → 15-09-23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Artificial Intelligence
Computer Science Applications
Instrumentation
Renewable Energy, Sustainability and the Environment
Surfaces, Coatings and Films
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering
Electronic, Optical and Magnetic Materials

Access to Document

10.1109/ICSEIET58677.2023.10303439

Cite this

Patil, T., Nandan, D., Sharma, K., & Parashar, D. (2023). Drone-Based Predictive Structure Analysis: A Review. In 2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023 (pp. 768-773). (2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSEIET58677.2023.10303439

Patil, Trushant ; Nandan, Durgesh ; Sharma, Kanhaiya et al. / Drone-Based Predictive Structure Analysis : A Review. 2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 768-773 (2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023).

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title = "Drone-Based Predictive Structure Analysis: A Review",

abstract = "Drone-based predictive structure analysis is a rapidly growing field that has the potential to revolutionize infrastructure and building inspection. In this review of the research, we give a general overview of how drones could increase the effectiveness and precision of structural analysis, particularly for keeping an eye on difficult-to-reach locations. The usage of drones for 3D mapping, inspection, and monitoring of diverse constructions, such as concrete buildings, bridges, tunnels, and dams. The investigations show that drone-based inspection can produce 3D models and high-resolution photos, allowing for remote monitoring and the early identification of possible problems. The findings show that drones may greatly boost infrastructure management's safety and effectiveness, making them an important tool for predictive structural research.",

author = "Trushant Patil and Durgesh Nandan and Kanhaiya Sharma and Deepak Parashar",

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doi = "10.1109/ICSEIET58677.2023.10303439",

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series = "2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Patil, T, Nandan, D, Sharma, K & Parashar, D 2023, Drone-Based Predictive Structure Analysis: A Review. in 2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023. 2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023, Institute of Electrical and Electronics Engineers Inc., pp. 768-773, 2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023, Ghaziabad, India, 14-09-23. https://doi.org/10.1109/ICSEIET58677.2023.10303439

Drone-Based Predictive Structure Analysis: A Review. / Patil, Trushant; Nandan, Durgesh; Sharma, Kanhaiya et al.
2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 768-773 (2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Drone-Based Predictive Structure Analysis

T2 - 2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023

AU - Patil, Trushant

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AU - Parashar, Deepak

PY - 2023

Y1 - 2023

N2 - Drone-based predictive structure analysis is a rapidly growing field that has the potential to revolutionize infrastructure and building inspection. In this review of the research, we give a general overview of how drones could increase the effectiveness and precision of structural analysis, particularly for keeping an eye on difficult-to-reach locations. The usage of drones for 3D mapping, inspection, and monitoring of diverse constructions, such as concrete buildings, bridges, tunnels, and dams. The investigations show that drone-based inspection can produce 3D models and high-resolution photos, allowing for remote monitoring and the early identification of possible problems. The findings show that drones may greatly boost infrastructure management's safety and effectiveness, making them an important tool for predictive structural research.

AB - Drone-based predictive structure analysis is a rapidly growing field that has the potential to revolutionize infrastructure and building inspection. In this review of the research, we give a general overview of how drones could increase the effectiveness and precision of structural analysis, particularly for keeping an eye on difficult-to-reach locations. The usage of drones for 3D mapping, inspection, and monitoring of diverse constructions, such as concrete buildings, bridges, tunnels, and dams. The investigations show that drone-based inspection can produce 3D models and high-resolution photos, allowing for remote monitoring and the early identification of possible problems. The findings show that drones may greatly boost infrastructure management's safety and effectiveness, making them an important tool for predictive structural research.

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Patil T, Nandan D, Sharma K, Parashar D. Drone-Based Predictive Structure Analysis: A Review. In 2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 768-773. (2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology, ICSEIET 2023). doi: 10.1109/ICSEIET58677.2023.10303439

Drone-Based Predictive Structure Analysis: A Review

Abstract

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UN SDGs

All Science Journal Classification (ASJC) codes

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