Internet of Vehicles and Computer Vision Solutions for Smart City Transformations / edited by Anuj Abraham, Shitala Prasad, Ahmed Alhammadi, Thierry Lestable, Ferdaous Chaabane.

Format:

Book

Author/Creator:

Abraham, Anuj.

Contributor:

Prasad, Shitala.

Alhammadi, Ahmed.

Lestable, Thierry.

Chaabane, Ferdaous.

Series:

Lecture Notes in Intelligent Transportation and Infrastructure, 2523-3459

Language:

English

Subjects (All):

Transportation engineering.

Traffic engineering.

Internet of things.

Telecommunication.

Transportation Technology and Traffic Engineering.

Internet of Things.

Communications Engineering, Networks.

Local Subjects:

Transportation Technology and Traffic Engineering.

Internet of Things.

Communications Engineering, Networks.

Physical Description:

1 online resource (555 pages)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

Summary:

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.

Contents:

Introduction to Smart Cities

Understanding Smart City Concepts

Importance of Technology in Urban Development

Computer Vision in Smart Cities

Basics of Computer Vision

Applications of Computer Vision in Smart Cities

Challenges and Opportunities

Internet of Things (IoT) and Smart Cities

IoT Infrastructure in Urban Environments

IoT Sensors and Data Collection

Integration of IoT in Smart Cities

Internet of Vehicles (IoV) and Intelligent Transportation Systems

IoV Fundamentals and Traffic Management

Connectivity, Communication, and Vehicle Safety

IoV Applications for Urban Mobility and Real-time Data Analytics

Integration Challenges and Optimal Routing Protocols in IoT and IoV

Standardization in Safe Autonomous Systems

Software Infrastructure, Policies & Regulations for Intelligent Vehicles

Computer Vision for Traffic Management

Traffic Surveillance and Monitoring.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

9783031729591

3031729595

OCLC:

1503845247