Progress and Trends in Image Processing Applications in Civil Engineering: Opportunities and Challenges

• Published in: Advances in Civil Engineering Vol. 2022; no. 1
• Main Authors: Salunkhe, Ashwini A., Gobinath, R., Vinay, S., Joseph, Leo
• Format: Journal Article
• Language: English
• Published: New York Hindawi 2022; John Wiley & Sons, Inc; Hindawi Limited; Wiley
• Subjects: Aggregates; Artificial intelligence; Asphalt pavements; Bibliometrics; Building management systems; Civil engineering; Cloud computing; Computer techniques; Computers; Construction industry; Data analysis; Database industry; Decision making; Deep learning; Digital imaging; Digitization; Documents; Domains; Drilling & boring machinery; Drone aircraft; Feasibility studies; Geology; Hypothesis testing; Image processing; Infrastructure; International economic relations; Machine learning; Medical imaging equipment; Morphology; Neural networks; Remote sensing; Rivers; Scientometrics; Three dimensional imaging; Trends; Unmanned aerial vehicles; Netherlands; China; India
• ISSN: 1687-8086; 1687-8094
• DOI: 10.1155/2022/6400254

Technological advancements in electronic storage have been trending for cloud computing. The revolution of this computer technology with machine learning and artificial intelligence has created prodigious platforms to the various disciplines of science and technology. Civil engineering is the oldest discipline, and due to the never-ending demand of this domain, it is rapidly adapting to newer computer techniques like image processing, deep learning, big data analysis, neural networks, building information modeling (BIM), unmanned aerial vehicle (UAV) system, digital image correlation (DIC), and many more. In the current paper, we portrayed the primary research and achievements of AI and image processing applications in the civil domain. The paper is divided in two parts. The first part provides analysis of existing methods along with examples relevant to the civil domain where it is incorporated. The second part elaborates scientometric study constituting 605 documents (Science Direct database) published in the last two decades. The bibliometrics are further used for producing analytical frameworks based on publications, citations, top journals, top institutions, and funding sources. This study serves as a guide for readers to identify research gaps and use the review for potential future study.