Autonomous Vehicles, Volume 1

Using Machine Intelligence
Herausgegeben:Rawat, Romil; Alamanda, Mary Sowjanya; Patel, Syed Imran; Jaiswal, Varshali; Khan, Imran; Balaram, Allam

• Gebundenes Buch

Produktbeschreibung

AUTONOMOUS VEHICLES

Addressing the current challenges, approaches and applications relating to autonomous vehicles, this groundbreaking new volume presents the research and techniques in this growing area, using Internet of Things (IoT), Machine Learning (ML), Deep Learning, and Artificial Intelligence (AI).

This book provides and addresses the current challenges, approaches, and applications relating to autonomous vehicles, using Internet of Things (IoT), machine learning, deep learning, and Artificial Intelligence (AI) techniques. Several self-driving or autonomous ("driverless") cars, trucks, and drones incorporate a variety of IoT devices and sensing technologies such as sensors, gyroscopes, cloud computing, and fog layer, allowing the vehicles to sense, process, and maintain massive amounts of data on traffic, routes, suitable times to travel, potholes, sharp turns, and robots for pipe inspection in the construction and mining industries.

Few books are available on the practical applications of unmanned aerial vehicles (UAVs) and autonomous vehicles from a multidisciplinary approach. Further, the available books only cover a few applications and designs in a very limited scope. This new, groundbreaking volume covers real-life applications, business modeling, issues, and solutions that the engineer or industry professional faces every day that can be transformed using intelligent systems design of autonomous systems. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.

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Produktdetails

• Verlag: Wiley & Sons / Wiley-Scrivener
• Artikelnr. des Verlages: 1W119871950
• 1. Auflage
• Seitenzahl: 320
• Erscheinungstermin: 5. Januar 2023
• Englisch
• Abmessung: 229mm x 152mm x 19mm
• Gewicht: 531g
• ISBN-13: 9781119871958
• ISBN-10: 1119871956
• Artikelnr.: 66347283

Autorenporträt

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 of 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. A Mary Sowjanya, PhD, is a faculty member in the Department of Computer Science and Systems Engineering at Andhra University, India. She has three patents to her credit and has more than 70 research publications. She also received the "Young Faculty Research Fellowship Award" under the Viswerayya program from the government of India. Syed Imran Patel, is a lecturer, education program manager, and lead internal verifier at Bahrain Training Institute, HEC, EDUC-Information System Training Programs, Ministry of Education, Bahrain. With his expertise, he contributes to the Quality Assurance Committee, the Grade and Credit Transfer Committee, and the Curriculum Development Committee. Varshali Jaiswal, PhD, is an assistant professor at Vellore Institute of Technology, Bhopal, India. She has over 12 years of experience in the field of academics. She has published more than seven papers in international journals and conferences. Imran Khan, is a faculty member at the Bahrain Training Institute, Higher Education Council, Ministry of Education, Bahrain. Before this, he was a lecturer at Sirt University, Ministry of Education, Libya, and an assistant professor at Osmania University. Allam Balaram, PhD, is a professor in the Department of Information Technology, MLR Institute of Technology, India. A professional with over 16 years of teaching experience and over eight years of research and development experience, he has published 17 papers.

Inhaltsangabe

Preface xiii

1 Anomalous Activity Detection Using Deep Learning Techniques in Autonomous Vehicles 1
Amit Juyal, Sachin Sharma and Priya Matta

1.1 Introduction 2

1.1.1 Organization of Chapter 2

1.2 Literature Review 3

1.3 Artificial Intelligence in Autonomous Vehicles 7

1.4 Technologies Inside Autonomous Vehicle 9

1.5 Major Tasks in Autonomous Vehicle Using AI 11

1.6 Benefits of Autonomous Vehicle 12

1.7 Applications of Autonomous Vehicle 13

1.8 Anomalous Activities and Their Categorization 13

1.9 Deep Learning Methods in Autonomous Vehicle 14

1.10 Working of Yolo 17

1.11 Proposed Methodology 18

1.12 Proposed Algorithms 20

1.13 Comparative Study and Discussion 21

1.14 Conclusion 23

References 23

2 Algorithms and Difficulties for Autonomous Cars Based on Artificial Intelligence 27
Sumit Dhariwal, Avani Sharma and Avinash Raipuria

2.1 Introduction 27

2.1.1 Algorithms for Machine Learning in Autonomous Driving 30

2.1.2 Regression Algorithms 30

2.1.3 Design Identification Systems (Classification) 31

2.1.4 Grouping Concept 31

2.1.5 Decision Matrix Algorithms 31

2.2 In Autonomous Cars, AI Algorithms are Applied 32

2.2.1 Algorithms for Route Planning and Control 32

2.2.2 Method for Detecting Items 32

2.2.3 Algorithmic Decision-Making 33

2.3 AI's Challenges with Self-Driving Vehicles 33

2.3.1 Feedback in Real Time 33

2.3.2 Complexity of Computation 34

2.3.3 Black Box Behavior 34

2.3.4 Precision and Dependability 35

2.3.5 The Safeguarding 35

2.3.6 AI and Security 35

2.3.7 AI and Ethics 36

2.4 Conclusion 36

References 36

3 Trusted Multipath Routing for Internet of Vehicles against DDoS Assault Using Brink Controller in Road Awareness (tmrbc-iov) 39
Piyush Chouhan and Swapnil Jain

3.1 Introduction 40

3.2 Related Work 47

3.3 VANET Grouping Algorithm (VGA) 50

3.4 Extension of Trusted Multipath Distance Vector Routing (TMDR-Ext) 51

3.5 Conclusion 57

References 58

4 Technological Transformation of Middleware and Heuristic Approaches for Intelligent Transport System 61
Rajender Kumar, Ravinder Khanna and Surender Kumar

4.1 Introduction 61

4.2 Evolution of VANET 62

4.3 Middleware Approach 64

4.4 Heuristic Search 65

4.5 Reviews of Middleware Approaches 72

4.6 Reviews of Heuristic Approaches 75

4.7 Conclusion and Future Scope 78

References 79

5 Recent Advancements and Research Challenges in Design and Implementation of Autonomous Vehicles 83
Mohit Kumar and V. M. Manikandan

5.1 Introduction 84

5.1.1 History and Motivation 85

5.1.2 Present Scenario and Need for Autonomous Vehicles 85

5.1.3 Features of Autonomous Vehicles 86

5.1.4 Challenges Faced by Autonomous Vehicles 86

5.2 Modules/Major Components of Autonomous Vehicles 87

5.2.1 Levels of Autonomous Vehicles 87

5.2.2 Functional Components of An Autonomous Vehicle 89

5.2.3 Traffic Control System of Autonomous Vehicles 91

5.2.4 Safety Features Followed by Autonomous Vehicles 91

5.3 Testing and Analysis of An Autonomous Vehicle in a Virtual Prototyping Environment 94

5.4 Application Areas of Autonomous Vehicles 95

5.5 Artificial Intelligence (AI) Approaches for Autonomous Vehicles 97

5.5.1 Pedestrian De