Internet of Vehicles and Computer Vision Solutions for Smart City Transformations (eBook)

Anuj Abraham, Shitala Prasad, Ahmed Alhammadi, Thierry Lestable, Ferdaous Chaabane (Herausgeber)

eBook Download: PDF

2025 | 1. Auflage
476 Seiten
Springer-Verlag
978-3-031-72959-1 (ISBN)

Infos

This book compiles recent research endeavors at the intersection of computer vision (CV) and deep learning for Internet of Vehicles (IoV) applications, which are pivotal in shaping the landscape of smart cities. These technologies play instrumental roles in enhancing various facets of urban life, encompassing safety, transportation, infrastructure management, and sustainability. The amalgamation of CV and deep learning within smart cities creates a powerful synergy that fosters safer, more efficient, and sustainable urban environments. By harnessing these cutting-edge technologies to drive data-driven decision-making, cities can elevate the quality of life for their inhabitants, mitigate environmental impact, and optimize overall urban functionality. Additionally, this compilation provides in-depth technical and scientific insights into various facets of artificial intelligence (AI) technologies, including forthcoming trends and innovations that are poised to transform smart cities.

The book also extends its focus to other areas of smart city development. It explores the application of these technologies in the creation of smart parking solutions, discusses the role of surveillance for public safety, and examines how CV and IoV can be utilized for environmental monitoring. The book also delves into urban planning and infrastructure development, emphasizing the importance of a data-driven approach. It sheds light on the social impact of smart cities and the importance of citizen engagement and discusses issues of security and privacy in the context of smart cities. The book concludes with a look at future trends and challenges in the field of smart cities. Targeted at researchers, practitioners, engineers, and scientists, this book is geared toward those engaged in the development of advanced algorithms for future-forward smart city applications in computer vision, vehicular networking, communication technology, sensor devices, IoT communication, vehicular and on-road safety, data security, and services for IoV-related devices.

Produkt-Details

• Erscheint lt. Verlag: 19.2.2025
• Reihe/Serie: Lecture Notes in Intelligent Transportation and Infrastructure
• Zusatzinfo: XXVI, 476 p. 136 illus., 130 illus. in color.
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Netzwerke
• Themenwelt: Technik ► Bauwesen
• Themenwelt: Technik ► Nachrichtentechnik
• Schlagworte: Artificial Intelligence • computer vision • Deep learning • internet of things • internet of vehicles • sensors • Smart City • smart mobility • sustainability • traffic management • urban planning
• ISBN-10: 3-031-72959-5 / 3031729595
• ISBN-13: 978-3-031-72959-1 / 9783031729591