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Autonomous Vehicles Volume 2

Smart Vehicles for Communication
Edited by Romil Rawat, Purvee Bhardwaj, Upinder Kaur, Shrikant Telang, Mukesh Chouhan, and K. Sakthidasan Sankaran
Copyright: 2023   |   Status: Published
ISBN: 9781394152254  |  Hardcover  |  
337 pages

One Line Description
The companion to Autonomous Vehicles Volume 1: Using Machine Intelligence, this second volume in the two-volume set covers intelligent techniques utilized for designing, controlling and managing vehicular systems based on advanced algorithms of computing like machine learning, artificial Intelligence, data analytics, and Internet of Things with prediction approaches to avoid accidental damages, security threats, and theft.

Audience
Academic researchers, research scholars, practitioners, students, traffic engineers, city planners, consultants, traffic planners, vehicle designers and all key stakeholders working on intelligent engineering solutions


Description
Besides communicating with other vehicles, self-driving cars connected to a 5G network will also be able to communicate with different infrastructure elements that make up our roads and other transportation and communication systems. Similarly, an unmanned aerial vehicle (UAV), an aircraft without any human pilot, crew or passengers on board, can operate under remote control by a human operator, as a remotely-piloted aircraft (RPA), or with various degrees of autonomy. These include autopilot assistance and fully autonomous aircraft that have no provision for human intervention. Transportation is a necessary, but often painful process. With fully autonomous driving, passengers will be freed to accomplish their own goals, turning the dead hours of driving into fruitful hours of learning, working, engaging, and relaxing. Similarly, UAVs can perform functions that human-operated aircraft cannot, whether because of the environment or high-risk situations.

The purpose of the book is to present the needs, designs, and applications of autonomous vehicles. The topics covered range from mechanical engineering to computer science engineering, both areas playing vital roles for programming, managing, generating alerts, and GPS position, artificial intelligence-based prediction of path and events, as well as other high-tech tools, are covered in this book, as well. Whether for the student, veteran engineer, or other industry professional, this book, and its companion volume, are must haves for any library.

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Author / Editor Details
Romil Rawat, PhD, is an assistant professor at Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore. With over 12 years of teaching experience, he has published numerous papers in scholarly journals and conferences. He has also published book chapters and is a board member on two scientific journals. He has received several research grants and has hosted research events, workshops, and training programs. He also has several patents to his credit.

Purvee Bhardwaj, PhD, is the Dean of Physical Science at Rabindranath Tagore University Bhopal MP, India. She has published more than 70 papers in scientific and technical journals and one book. She is a lifetime member of multiple scientific societies and has won numerous awards.

Upinder Kaur, PhD, is an assistant professor and head of the Department of Computer Science and Engineering at Akal University and has over 12 years of experience in academics and research.

Shrikant Telang, is an assistant professor at Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore, India. With over eight years of teaching and research experience, he has several patents to his credit and has won numerous awards.

Mukesh Chouhan is an assistant professor and head of the department in the Department of Computer Science & Engineering, Government Polytechnic College, Sanawad, MP, India. He has published several research papers in referred journals, conference papers and book chapters.

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Table of Contents
Preface
1. A Best Fit Strategic Approach for Sample Selections of a Carrier to Minimizing Quantization Error
Virendra P. Nikam and Shital S. Dhande
1.1 Introduction
1.1.1 Cryptography
1.1.2 Steganography
1.1.3 Watermarking
1.2 Background History
1.3 Literature Survey
1.4 Proposed Methodology
1.4.1 Carrier Selection
1.4.2 Carrier Classification
1.4.3 Searching Best Fit Sample from Class
1.4.4 Updating Result Carrier with Newly Found Best-Fit Sample
1.5 Result Analysis
1.6 Conclusion
1.7 Future Scope
References
2. A Dual-Polarized Antenna With Circular Parasitic Element for Autonomous Vehicle
Manish Varun Yadav and Sudeep Baudha
2.1 Introduction
2.2 Autonomous-Vehicle Antenna Design and Principle
2.3 Simulated Parameter Study
2.4 Simulated Results
2.5 Conclusion
References
3. A Smart Vehicle Antenna for Defence and Satellite Communication
Manish Varun Yadav, Swati Varun Yadav, Sudeep Baudha and Ashish Chittora
3.1 Introduction
3.2 Design Principle and Structure
3.3 Stages of Development
3.4 Simulated Parameter Study
3.5 Simulated and Measured Results
3.6 Conclusion
References
4. Visual Place Recognition for Simultaneous Localization and Mapping
Konstantinos A. Tsintotas, Loukas Bampis and Antonios Gasteratos
4.1 Introduction
4.2 The Structure for a Visual Place Recognition System
4.2.1 Image Processing
4.2.1.1 Global Descriptor Extraction
4.2.1.2 Local Descriptors Extraction
4.2.2 Map
4.2.2.1 Single Image-Based
4.2.2.2 Sequence of Images-Based
4.2.3 Belief Generator
4.2.3.1 Pixel-Wise Similarity
4.2.3.2 Euclidean or Cosine Distance
4.2.3.3 Vote Density
4.2.3.4 Temporal Consistency
4.2.3.5 Geometrical Verification
4.3 Evaluation
4.3.1 Ground Truth
4.3.2 Datasets
4.3.3 Evaluation Metrics
4.4 Paradigms
4.4.1 Sequence of Images-Based Visual Word Histograms
4.4.2 Dynamic Sequence Segmentation
4.4.3 Hierarchical Mapping Through an Incremental Visual Vocabulary
4.4.4 Bag of Tracked Words for Incremental Visual Place Recognition
4.5 Experimental Results
4.6 Future Trends and Conclusion
References
5. Trust Verification Class (TVCRO) Based Communication for Enhanced of QoS in VANET Environment
Akanksha Vyas, Nayan Bhale Amar, Pratiksha Aurangabadkar and Yukti Vyas
5.1 Introduction
5.2 Related Work
5.3 Theoretical Framework
5.4 TVCRO Procedure
5.5 Simulation Setup
5.6 Results and Discussion
5.7 Conclusion
References
6. Effective Congestion Control Mechanism for Smart Vehicles Using Edge Computing in VANET
Poorva Shukla, Sunita Varma and Ravindra Petel
6.1 Introduction
6.2 Related Study
6.3 Proposed Algorithm
6.4 Conclusion
Appendix
References
7. Longitudinally Variant 4W4D Robot Slipagge-Based Path Tracking Control
Edgar A. Martínez-García, Roman Lavrenov and Evgeni Magid
7.1 Introduction
7.2 Related Work
7.3 Vehicle Physical Model
7.4 4W4D Z-Turn Control Law
7.5 Sensing Models
7.6 Path-Tracking Control
7.7 Conclusion
Acknowledgement
References
8. Intelligent Autonomous Electric Car
Vijay L. Hallappanavar, Chetan M. Bulla and Mahantesh N. Birje
8.1 Introduction
8.2 Related Work
8.3 Intelligent Autonomous System
8.3.1 Object Detection
8.3.1.1 Object Detection Using IR Sensor
8.3.2 Automatic Cooling
8.3.3 Speed Control While Raining
8.3.4 Automatic Charging
8.3.5 Hardware Requirement
8.3.6 Software Requirements
8.4 Results
8.4.1 Object Detection and Tracking
8.4.2 Automatic Cooling
8.4.3 Speed Control While Raining
8.4.4 Automatic Charging
8.5 Conclusions
References
9. Cluster Optimization Using Metaheuristic JAYA Algorithm for Secure VANETs
Gurjot Kaur, Deepti Kakkar and Davinder Singh
9.1 Introduction
9.1.1 VANET Architecture
9.1.2 VANET Topology
9.1.3 Challenges in VANETs
9.1.4 Security Issues in VANETs
9.1.5 Organization of Chapter
9.2 Literature Review
9.2.1 Available Security Solutions for VANETs
9.2.2 On Trust-Based Security Models
9.2.3 Gaps in Existing Trust Model-Based Security Solutions
9.2.4 On Clustering in VANETs Using Metaheuristic Techniques
9.3 Proposed Work
9.3.1 Overview
9.3.2 Assumptions
9.3.3 Constraints
9.3.4 Proposed Methodology
9.4 Conclusion
References
10. Analysis of Domestic Cars in India for Middle-Income Group Using TOPSIS
Vibha Aggarwal, Kulwant Singh, Sandeep Gupta, Shipra Bansal, Priyanka Baghla and Navjot Kaur
10.1 Introduction
10.2 Methodology
10.3 Result and Discussion
10.4 Conclusion
References
11. A Secure Data Authentication-Based Aerial Intelligent Relay Road Side Unit (AIR-RSU) Framework for Intelligent Transportation System Applications
A. Samson Arun Raj, M. Roshni Thanka, G. Jaspher Wilisie Kathrine and Yogesh Palanichamy
11.1 Introduction
11.1.1 The Need for Data Authentication
11.1.2 The Objective of the Proposed Model
11.2 Related Works
11.3 Application Scenario of The Working Model
11.4 Working Process
11.4.1 Network Measurement Subsystem
11.4.2 Data Authentication Subsystem
11.4.3 Service Classification Subsystem
11.5 Experimental Process
11.6 Conclusion and Future Works
References
12. Evaluation of Vulnerabilities in IoT-Based Intelligent Agriculture Systems
Khongdet Phasinam and Thanwamas Kassanuk
12.1 Introduction
12.1.1 Precision Agriculture
12.1.2 Internet of Things and Machine Learning for Smart Agriculture and Related Security Concerns
12.2 Building Blocks of Internet of Things
12.2.1 Sensors
12.2.2 Control Unit
12.2.3 Communication Module
12.3 Literature Survey
12.4 Security Issues
12.4.1 Heterogeneous Devices and Communication
12.4.2 Integrating Physical Devices
12.4.3 Constrained Devices
12.4.4 Large Scale
12.4.5 Privacy
12.5 Attacks and Vulnerabilities in Internet of Things Related to Agriculture Field
12.6 Conclusion
References
13. Q Learning Algorithm for Network Resource Management in Vehicular Communication Network
Vartika Agarwal and Sachin Sharma
13.1 Introduction
13.2 Literature Review
13.3 Overview of Network Resource Management in Vehicular Communication Networks
13.4 Reinforcement Learning Techniques for Network Resource Management
13.5 Applications of Q Learning
13.6 Comparative Study and Result Analysis
13.7 Impact of Q-Learning
13.8 Conclusion
References
14. Reliable Transportation Solution for Urban Planning: VANET
Harshit Srivastava and Deepti Kakkar
14.1 Introduction
14.1.1 VANET Architecture
14.1.2 VANET Characteristics
14.1.3 VANET Standards
14.1.4 VANET Communication
14.1.5 Implementation of Optimisation Algorithm for VANETs
14.2 Cryptography
14.2.1 Salient Features of Cryptography
14.2.2 Classification of Cryptography (as shown in Figure 14.2)
14.3 Common Security Attacks
14.4 Gaps in Present Cryptography
14.5 Lightweight Cryptography
14.5.1 Vital Security Aspects in Lightweight Cryptography
14.5.2 Advantages of Lightweight Protocols
14.5.3 Objectives of Lightweight Protocols are Classified as
14.5.4 Lightweight Cryptography Algorithms
14.5.5 Software and Hardware Implementation
14.5.5.1 Hardware Lightweight Cryptography
14.5.5.2 Software Lightweight Cryptography
14.5.6 Division of Lightweight Cryptography
14.5.6.1 Symmetric Key Algorithm
14.5.6.2 Asymmetric Key
14.6 Conclusion
14.7 Future Work
References
15. Implementation of Veco-Taxis in Turbulent Environment for Gas Source Localization
Kumar Gaurav
15.1 Introduction
15.2 Literature Survey
15.3 Methodology
15.4 Results and Discussions
15.5 Conclusions
References
16. A Technique for Monitoring Cyber-Attacks on Self-Driving Automobiles-Based VANET
Vinod Mahor, Sadhna Bijrothiya, Rina Mishra and Romil Rawat
16.1 Introduction
16.2 Related Work
16.3 Examining the Proposed Framework
16.4 Conclusion
References
About the Editors
Index

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