{"product_id":"autonomous-vehicles-volume-2-smart-vehicles-for-communication-hardback-9781394152254","title":"Autonomous Vehicles, Volume 2; Smart Vehicles for Communication (Hardback) 9781394152254","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eAutonomous Vehicles, Volume 2\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eSmart Vehicles for Communication\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eRomil Rawat (Edited by), R Rawat (Author), Purvee Bhardwaj (Edited by), Upinder Kaur (Edited by), Shrikant Telang (Edited by), Mukesh Chouhan (Edited by), K. Sakthidasan Sankaran (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394152254, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 19 December 2022\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e352 pages\u003cbr\u003e22.9 x 15.2 x 2 cm, 0.744 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cb\u003eAUTONOMOUS VEHICLES\u003c\/b\u003e \u003cp\u003e\u003cb\u003eThe companion to \u003ci\u003eAutonomous Vehicles Volume 1: Using Machine Intelligence\u003c\/i\u003e, 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 (IoT) with prediction approaches to avoid accidental damages, security threats, and theft.\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eBesides 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.  \u003c\/p\u003e\n\u003cp\u003eThe 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 in 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 another industry professional, this book, and its companion volume, are must-haves for any library.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 A Best Fit Strategic Approach for Sample Selections of a Carrier to Minimizing Quantization Error 1\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eVirendra P. Nikam and Shital S. Dhande\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 1\u003c\/p\u003e \u003cp\u003e1.1.1 Cryptography 2\u003c\/p\u003e \u003cp\u003e1.1.2 Steganography 3\u003c\/p\u003e \u003cp\u003e1.1.3 Watermarking 3\u003c\/p\u003e \u003cp\u003e1.2 Background History 5\u003c\/p\u003e \u003cp\u003e1.3 Literature Survey 6\u003c\/p\u003e \u003cp\u003e1.4 Proposed Methodology 8\u003c\/p\u003e \u003cp\u003e1.4.1 Carrier Selection 8\u003c\/p\u003e \u003cp\u003e1.4.2 Carrier Classification 8\u003c\/p\u003e \u003cp\u003e1.4.3 Searching Best Fit Sample from Class 9\u003c\/p\u003e \u003cp\u003e1.4.4 Updating Result Carrier with Newly Found Best-Fit Sample 10\u003c\/p\u003e \u003cp\u003e1.5 Result Analysis 13\u003c\/p\u003e \u003cp\u003e1.6 Conclusion 15\u003c\/p\u003e \u003cp\u003e1.7 Future Scope 17\u003c\/p\u003e \u003cp\u003eReferences 17\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 A Dual-Polarized Antenna With Circular Parasitic Element for Autonomous Vehicle 19\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eManish Varun Yadav and Sudeep Baudha\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 19\u003c\/p\u003e \u003cp\u003e2.2 Autonomous-Vehicle Antenna Design and Principle 21\u003c\/p\u003e \u003cp\u003e2.3 Simulated Parameter Study 24\u003c\/p\u003e \u003cp\u003e2.4 Simulated Results 25\u003c\/p\u003e \u003cp\u003e2.5 Conclusion 30\u003c\/p\u003e \u003cp\u003eReferences 30\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 A Smart Vehicle Antenna for Defence and Satellite Communication 33\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eManish Varun Yadav, Swati Varun Yadav, Sudeep Baudha and Ashish Chittora\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 34\u003c\/p\u003e \u003cp\u003e3.2 Design Principle and Structure 35\u003c\/p\u003e \u003cp\u003e3.3 Stages of Development 37\u003c\/p\u003e \u003cp\u003e3.4 Simulated Parameter Study 38\u003c\/p\u003e \u003cp\u003e3.5 Simulated and Measured Results 40\u003c\/p\u003e \u003cp\u003e3.6 Conclusion 42\u003c\/p\u003e \u003cp\u003eReferences 44\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Visual Place Recognition for Simultaneous Localization and Mapping 47\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eKonstantinos A. Tsintotas, Loukas Bampis and Antonios Gasteratos\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 47\u003c\/p\u003e \u003cp\u003e4.2 The Structure for a Visual Place Recognition System 49\u003c\/p\u003e \u003cp\u003e4.2.1 Image Processing 50\u003c\/p\u003e \u003cp\u003e4.2.1.1 Global Descriptor Extraction 50\u003c\/p\u003e \u003cp\u003e4.2.1.2 Local Descriptors Extraction 51\u003c\/p\u003e \u003cp\u003e4.2.2 Map 52\u003c\/p\u003e \u003cp\u003e4.2.2.1 Single Image-Based 53\u003c\/p\u003e \u003cp\u003e4.2.2.2 Sequence of Images-Based 54\u003c\/p\u003e \u003cp\u003e4.2.3 Belief Generator 54\u003c\/p\u003e \u003cp\u003e4.2.3.1 Pixel-Wise Similarity 55\u003c\/p\u003e \u003cp\u003e4.2.3.2 Euclidean or Cosine Distance 56\u003c\/p\u003e \u003cp\u003e4.2.3.3 Vote Density 56\u003c\/p\u003e \u003cp\u003e4.2.3.4 Temporal Consistency 57\u003c\/p\u003e \u003cp\u003e4.2.3.5 Geometrical Verification 57\u003c\/p\u003e \u003cp\u003e4.3 Evaluation 58\u003c\/p\u003e \u003cp\u003e4.3.1 Ground Truth 58\u003c\/p\u003e \u003cp\u003e4.3.2 Datasets 59\u003c\/p\u003e \u003cp\u003e4.3.3 Evaluation Metrics 60\u003c\/p\u003e \u003cp\u003e4.4 Paradigms 61\u003c\/p\u003e \u003cp\u003e4.4.1 Sequence of Images-Based Visual Word Histograms 61\u003c\/p\u003e \u003cp\u003e4.4.2 Dynamic Sequence Segmentation 64\u003c\/p\u003e \u003cp\u003e4.4.3 Hierarchical Mapping Through an Incremental Visual Vocabulary 66\u003c\/p\u003e \u003cp\u003e4.4.4 Bag of Tracked Words for Incremental Visual Place Recognition 67\u003c\/p\u003e \u003cp\u003e4.5 Experimental Results 69\u003c\/p\u003e \u003cp\u003e4.6 Future Trends and Conclusion 70\u003c\/p\u003e \u003cp\u003eReferences 71\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Trust Verification Class (TVCRO) Based Communication for Enhanced of QoS in VANET Environment 81\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eAkanksha Vyas, Nayan Bhale Amar, Pratiksha Aurangabadkar and Yukti Vyas\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 82\u003c\/p\u003e \u003cp\u003e5.2 Related Work 84\u003c\/p\u003e \u003cp\u003e5.3 Theoretical Framework 86\u003c\/p\u003e \u003cp\u003e5.4 TVCRO Procedure 90\u003c\/p\u003e \u003cp\u003e5.5 Simulation Setup 95\u003c\/p\u003e \u003cp\u003e5.6 Results and Discussion 97\u003c\/p\u003e \u003cp\u003e5.7 Conclusion 99\u003c\/p\u003e \u003cp\u003eReferences 100\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Effective Congestion Control Mechanism for Smart Vehicles Using Edge Computing in VANET 105\u003cbr\u003e \u003c\/b\u003e\u003ci\u003ePoorva Shukla, Sunita Varma and Ravindra Petel\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 106\u003c\/p\u003e \u003cp\u003e6.2 Related Study 109\u003c\/p\u003e \u003cp\u003e6.3 Proposed Algorithm 116\u003c\/p\u003e \u003cp\u003e6.4 Conclusion 118\u003c\/p\u003e \u003cp\u003eAppendix 118\u003c\/p\u003e \u003cp\u003eReferences 119\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Longitudinally Variant 4W4D Robot Slipagge-Based Path Tracking Control 123\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eEdgar A. Martínez-García, Roman Lavrenov and Evgeni Magid\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 124\u003c\/p\u003e \u003cp\u003e7.2 Related Work 125\u003c\/p\u003e \u003cp\u003e7.3 Vehicle Physical Model 127\u003c\/p\u003e \u003cp\u003e7.4 4W4D Z-Turn Control Law 132\u003c\/p\u003e \u003cp\u003e7.5 Sensing Models 137\u003c\/p\u003e \u003cp\u003e7.6 Path-Tracking Control 139\u003c\/p\u003e \u003cp\u003e7.7 Conclusion 145\u003c\/p\u003e \u003cp\u003eAcknowledgement 146\u003c\/p\u003e \u003cp\u003eReferences 146\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Intelligent Autonomous Electric Car 151\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eVijay L. Hallappanavar, Chetan M. Bulla and Mahantesh N. Birje\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 151\u003c\/p\u003e \u003cp\u003e8.2 Related Work 154\u003c\/p\u003e \u003cp\u003e8.3 Intelligent Autonomous System 155\u003c\/p\u003e \u003cp\u003e8.3.1 Object Detection 156\u003c\/p\u003e \u003cp\u003e8.3.1.1 Object Detection Using IR Sensor 157\u003c\/p\u003e \u003cp\u003e8.3.2 Automatic Cooling 158\u003c\/p\u003e \u003cp\u003e8.3.3 Speed Control While Raining 159\u003c\/p\u003e \u003cp\u003e8.3.4 Automatic Charging 160\u003c\/p\u003e \u003cp\u003e8.3.5 Hardware Requirement 162\u003c\/p\u003e \u003cp\u003e8.3.6 Software Requirements 165\u003c\/p\u003e \u003cp\u003e8.4 Results 165\u003c\/p\u003e \u003cp\u003e8.4.1 Object Detection and Tracking 165\u003c\/p\u003e \u003cp\u003e8.4.2 Automatic Cooling 166\u003c\/p\u003e \u003cp\u003e8.4.3 Speed Control While Raining 167\u003c\/p\u003e \u003cp\u003e8.4.4 Automatic Charging 167\u003c\/p\u003e \u003cp\u003e8.5 Conclusions 167\u003c\/p\u003e \u003cp\u003eReferences 168\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Cluster Optimization Using Metaheuristic JAYA Algorithm for Secure VANETs 173\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eGurjot Kaur, Deepti Kakkar and Davinder Singh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 174\u003c\/p\u003e \u003cp\u003e9.1.1 VANET Architecture 176\u003c\/p\u003e \u003cp\u003e9.1.2 VANET Topology 176\u003c\/p\u003e \u003cp\u003e9.1.3 Challenges in VANETs 179\u003c\/p\u003e \u003cp\u003e9.1.4 Security Issues in VANETs 180\u003c\/p\u003e \u003cp\u003e9.1.5 Organization of Chapter 183\u003c\/p\u003e \u003cp\u003e9.2 Literature Review 183\u003c\/p\u003e \u003cp\u003e9.2.1 Available Security Solutions for VANETs 183\u003c\/p\u003e \u003cp\u003e9.2.2 On Trust-Based Security Models 184\u003c\/p\u003e \u003cp\u003e9.2.3 Gaps in Existing Trust Model-Based Security Solutions 187\u003c\/p\u003e \u003cp\u003e9.2.4 On Clustering in VANETs Using Metaheuristic Techniques 188\u003c\/p\u003e \u003cp\u003e9.3 Proposed Work 191\u003c\/p\u003e \u003cp\u003e9.3.1 Overview 191\u003c\/p\u003e \u003cp\u003e9.3.2 Assumptions 191\u003c\/p\u003e \u003cp\u003e9.3.3 Constraints 192\u003c\/p\u003e \u003cp\u003e9.3.4 Proposed Methodology 192\u003c\/p\u003e \u003cp\u003e9.4 Conclusion 200\u003c\/p\u003e \u003cp\u003eReferences 200\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Analysis of Domestic Cars in India for Middle-Income Group Using TOPSIS 207\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eVibha Aggarwal, Kulwant Singh, Sandeep Gupta, Shipra Bansal, Priyanka Baghla and Navjot Kaur\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 208\u003c\/p\u003e \u003cp\u003e10.2 Methodology 209\u003c\/p\u003e \u003cp\u003e10.3 Result and Discussion 214\u003c\/p\u003e \u003cp\u003e10.4 Conclusion 214\u003c\/p\u003e \u003cp\u003eReferences 214\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 A Secure Data Authentication-Based Aerial Intelligent Relay Road Side Unit (AIR-RSU) Framework for Intelligent Transportation System Applications 217\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eA. Samson Arun Raj, M. Roshni Thanka, G. Jaspher Wilisie Kathrine and Yogesh Palanichamy\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 218\u003c\/p\u003e \u003cp\u003e11.1.1 The Need for Data Authentication 218\u003c\/p\u003e \u003cp\u003e11.1.2 The Objective of the Proposed Model 219\u003c\/p\u003e \u003cp\u003e11.2 Related Works 219\u003c\/p\u003e \u003cp\u003e11.3 Application Scenario of The Working Model 222\u003c\/p\u003e \u003cp\u003e11.4 Working Process 224\u003c\/p\u003e \u003cp\u003e11.4.1 Network Measurement Subsystem 225\u003c\/p\u003e \u003cp\u003e11.4.2 Data Authentication Subsystem 227\u003c\/p\u003e \u003cp\u003e11.4.3 Service Classification Subsystem 227\u003c\/p\u003e \u003cp\u003e11.5 Experimental Process 230\u003c\/p\u003e \u003cp\u003e11.6 Conclusion and Future Works 234\u003c\/p\u003e \u003cp\u003eReferences 235\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Evaluation of Vulnerabilities in IoT-Based Intelligent Agriculture Systems 237\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eKhongdet Phasinam and Thanwamas Kassanuk\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 238\u003c\/p\u003e \u003cp\u003e12.1.1 Precision Agriculture 238\u003c\/p\u003e \u003cp\u003e12.1.2 Internet of Things and Machine Learning for Smart Agriculture and Related Security Concerns 238\u003c\/p\u003e \u003cp\u003e12.2 Building Blocks of Internet of Things 241\u003c\/p\u003e \u003cp\u003e12.2.1 Sensors 242\u003c\/p\u003e \u003cp\u003e12.2.2 Control Unit 244\u003c\/p\u003e \u003cp\u003e12.2.3 Communication Module 245\u003c\/p\u003e \u003cp\u003e12.3 Literature Survey 247\u003c\/p\u003e \u003cp\u003e12.4 Security Issues 249\u003c\/p\u003e \u003cp\u003e12.4.1 Heterogeneous Devices and Communication 250\u003c\/p\u003e \u003cp\u003e12.4.2 Integrating Physical Devices 250\u003c\/p\u003e \u003cp\u003e12.4.3 Constrained Devices 250\u003c\/p\u003e \u003cp\u003e12.4.4 Large Scale 250\u003c\/p\u003e \u003cp\u003e12.4.5 Privacy 250\u003c\/p\u003e \u003cp\u003e12.5 Attacks and Vulnerabilities in Internet of Things Related to Agriculture Field 251\u003c\/p\u003e \u003cp\u003e12.6 Conclusion 254\u003c\/p\u003e \u003cp\u003eReferences 255\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Q Learning Algorithm for Network Resource Management in Vehicular Communication Network 259\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eVartika Agarwal and Sachin Sharma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 259\u003c\/p\u003e \u003cp\u003e13.2 Literature Review 261\u003c\/p\u003e \u003cp\u003e13.3 Overview of Network Resource Management in Vehicular Communication Networks 263\u003c\/p\u003e \u003cp\u003e13.4 Reinforcement Learning Techniques for Network Resource Management 264\u003c\/p\u003e \u003cp\u003e13.5 Applications of Q Learning 266\u003c\/p\u003e \u003cp\u003e13.6 Comparative Study and Result Analysis 268\u003c\/p\u003e \u003cp\u003e13.7 Impact of Q-Learning 271\u003c\/p\u003e \u003cp\u003e13.8 Conclusion 271\u003c\/p\u003e \u003cp\u003eReferences 272\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Reliable Transportation Solution for Urban Planning: VANET 275\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eHarshit Srivastava and Deepti Kakkar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 276\u003c\/p\u003e \u003cp\u003e14.1.1 VANET Architecture 276\u003c\/p\u003e \u003cp\u003e14.1.2 VANET Characteristics 278\u003c\/p\u003e \u003cp\u003e14.1.3 VANET Standards 278\u003c\/p\u003e \u003cp\u003e14.1.4 VANET Communication 279\u003c\/p\u003e \u003cp\u003e14.1.5 Implementation of Optimisation Algorithm for VANETs 279\u003c\/p\u003e \u003cp\u003e14.2 Cryptography 282\u003c\/p\u003e \u003cp\u003e14.2.1 Salient Features of Cryptography 282\u003c\/p\u003e \u003cp\u003e14.2.2 Classification of Cryptography (as shown in Figure 14.2) 283\u003c\/p\u003e \u003cp\u003e14.3 Common Security Attacks 283\u003c\/p\u003e \u003cp\u003e14.4 Gaps in Present Cryptography 284\u003c\/p\u003e \u003cp\u003e14.5 Lightweight Cryptography 285\u003c\/p\u003e \u003cp\u003e14.5.1 Vital Security Aspects in Lightweight Cryptography 286\u003c\/p\u003e \u003cp\u003e14.5.2 Advantages of Lightweight Protocols 287\u003c\/p\u003e \u003cp\u003e14.5.3 Objectives of Lightweight Protocols are Classified as 288\u003c\/p\u003e \u003cp\u003e14.5.4 Lightweight Cryptography Algorithms 289\u003c\/p\u003e \u003cp\u003e14.5.5 Software and Hardware Implementation 290\u003c\/p\u003e \u003cp\u003e14.5.5.1 Hardware Lightweight Cryptography 290\u003c\/p\u003e \u003cp\u003e14.5.5.2 Software Lightweight Cryptography 291\u003c\/p\u003e \u003cp\u003e14.5.6 Division of Lightweight Cryptography 291\u003c\/p\u003e \u003cp\u003e14.5.6.1 Symmetric Key Algorithm 292\u003c\/p\u003e \u003cp\u003e14.5.6.2 Asymmetric Key 297\u003c\/p\u003e \u003cp\u003e14.6 Conclusion 299\u003c\/p\u003e \u003cp\u003e14.7 Future Work 300\u003c\/p\u003e \u003cp\u003eReferences 300\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Implementation of Veco-Taxis in Turbulent Environment for Gas Source Localization 303\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eKumar Gaurav\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 303\u003c\/p\u003e \u003cp\u003e15.2 Literature Survey 304\u003c\/p\u003e \u003cp\u003e15.3 Methodology 307\u003c\/p\u003e \u003cp\u003e15.4 Results and Discussions 310\u003c\/p\u003e \u003cp\u003e15.5 Conclusions 314\u003c\/p\u003e \u003cp\u003eReferences 315\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 A Technique for Monitoring Cyber-Attacks on Self-Driving Automobiles-Based VANET 317\u003cbr\u003e \u003c\/b\u003e\u003ci\u003eVinod Mahor, Sadhna Bijrothiya, Rina Mishra and Romil Rawat\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 318\u003c\/p\u003e \u003cp\u003e16.2 Related Work 319\u003c\/p\u003e \u003cp\u003e16.3 Examining the Proposed Framework 320\u003c\/p\u003e \u003cp\u003e16.4 Conclusion 331\u003c\/p\u003e \u003cp\u003eReferences 331\u003c\/p\u003e \u003cp\u003eAbout the Editors 335\u003c\/p\u003e \u003cp\u003eIndex 337\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: History [\u003ca title=\"See our other books on History\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22History%20%5BHB%5D%22\"\u003eHB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52431044870424,"sku":"9781394152254","price":111.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394152254.jpg?v=1784769731","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/autonomous-vehicles-volume-2-smart-vehicles-for-communication-hardback-9781394152254","provider":"Freshly Printed Books","version":"1.0","type":"link"}