This book presents the augmented reality (AR) and virtual reality (VR) automotive applications. It unites automobile with a leading technology i.e. augmented and virtual reality and uses the advantages of the latter to solve the problems faced by the former. The book highlights the reasons for the growing abundance and complexity in this sector. Virtual and augmented reality presents a powerful engineering tool that finds application in various engineering fields. It brings new possibilities that result is increasing of productivity and reliability of production, quality of products and processes. The book further illustrates the possible challenges in its applications and suggests ways to overcome them. The book includes nine chapters focusing on automobile collision avoidance, self-driving cars, autonomous vehicles, navigation systems, and many more applications.
Erscheinungsdatum: 25.02.2022

nexusstc/Virtual and Augmented Reality for Automobile Industry: Innovation Vision and Applications/86f379c3dc88e2130250dcad3acb0ac6.pdf

lgli/2022_Book_VirtualAndAugmentedRealityForA.pdf

lgrsnf/2022_Book_VirtualAndAugmentedRealityForA.pdf

zlib/Engineering/Robotics & Artificial Intelligence/Aboul Ella Hassanien, Deepak Gupta, Ashish Khanna, Adam Slowik/Virtual and Augmented Reality for Automobile Industry: Innovation Vision and Applications_19249477.pdf

Hassanien, Aboul Ella; Gupta, Deepak; Khanna, Ashish; Slowik, Adam

Gia Hoang Phan; Vijender Kumar Solanki; Nguyen Ho Quang

Springer International Publishing AG

Springer Nature Switzerland AG

Studies in Systems, Decision and Control, 412, 1st ed. 2022, Cham, 2022

Studies in systems, decision and control, Cham, Switzerland, 2022

Studies in Systems, Decision and Control Ser, v.412, Cham, 2022

Springer Nature, Cham, Switzerland, 2022

Switzerland, Switzerland

2, 20220224

producers:
iText® 5.5.13.2 ©2000-2020 iText Group NV (AGPL-version); modified using iText® 7.1.14 ©2000-2020 iText Group NV (AGPL-version)

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Preface 6
About This Book 10
Contents 11
About the Editors 13
Automotive Collision Avoidance System: A Review 15
1 Introduction 15
2 Literature Survey 16
3 Automotive Collison Avoidance System 21
4 Sensors for Collision Avoidance System 21
4.1 Active Sensors 22
4.2 Passive Sensors 23
4.3 Sensor Fusion 24
5 Vehicle Detection Schemes 26
5.1 Cueing 27
6 Tracking 30
7 Collision Avoidance Challenges 30
7.1 Sensor Challenges 31
8 Conclusion 31
References 32
Motion Planning and Manoeuvring in Self Driving Cars 34
1 Introduction 34
2 Architecture 35
2.1 Motion Planning 36
2.2 Search Space Planning 39
2.3 Planning Techniques 41
2.4 Maneuver Planning 42
2.5 Crash Detection 45
2.6 Intersection Passing Situation 46
3 Limitations 47
3.1 Hindrance Operation 47
3.2 Vehicular Motion 47
3.3 Risk Gauge 47
3.4 Adjacent Vehicle Sense 48
4 Test Results 48
4.1 Grand Cooperative Driving Challenge 50
4.2 Second Autonomous Self-driving Vehicle Competition 50
5 Discussion 50
6 Conclusion 55
References 55
Autonomous Vehicle Assisted by Heads up Display (HUD) with Augmented Reality Based on Machine Learning Techniques 57
1 Introduction 58
2 Related Works 61
3 System Model 65
4 Performance Analysis 72
5 Conclusion 75
References 75
Special Sensors for Autonomous Navigation Systems in Crops Investigation System 77
1 Introduction 78
2 Purpose of Chapter Description 80
3 Mobile Robot Navigation in Farmland Environments 80
4 Navigation Sensors Improve the Quality of Crops 82
4.1 Surveillance Navigation Technology 82
4.2 Frame Land Operation Through Global Positioning System (GPS) 84
4.3 Laser Scanning and Navigating Dependent on Perception 85
4.4 Other Sensors (Ultrasonic and RFID) 85
4.5 Laser Scanner-Based Navigation 85
5 Advanced Computational Techniques 86
5.1 Hough Transform 86
5.2 Information Fusion in Sensor Provide by Kalman Filter 87
5.3 Collection of Digital Image Segmentation Through Autonomous Vehicle 88
6 Strategies of Navigation Control Unit 89
6.1 Neural Network (NN) and/or Genetic Algorithm (GA) 89
6.2 Robotic Navigational Based on Proportional-Integral-Derivative (PID) 89
6.3 Robotic System Control by Fuzzy Logic (FL) Technology 90
7 Smart Agricultural Monitoring to Optimize Farming Productivity 91
8 Smart Agriculture Monitoring Solutions 92
9 Conclusions 95
References 96
AR/VR Technology for Autonomous Vehicles and Knowledge-Based Risk Assessment 99
1 Introduction 99
2 Background 102
3 Literature Survey 105
4 AR/VR in Autonomous Vehicles 114
5 Risk Assessment of AR/VR in Autonomous Vehicles 115
5.1 Knowledge-Based Risk Assessment 117
5.2 Risk at the Vehicle Level 118
5.3 Risk Avoidance 118
6 Discussion 119
7 Conclusion 119
References 119
Optimal Stacked Sparse Autoencoder Based Traffic Flow Prediction in Intelligent Transportation Systems 122
1 Introduction 123
2 The Proposed Model 125
2.1 Data Used 126
2.2 SSAE Based Prediction Model 127
2.3 WWO Based Hyperparameter Optimization 129
3 Experimental Validation 133
4 Conclusion 137
References 138
Leverage Computer Vision for Cost-Effective Learning Paradigm 139
1 Introduction 139
2 Literature Review 142
3 Proposed Method 144
3.1 Socket Programming 144
3.2 Filtration Process 145
3.3 Object Detection Process 146
3.4 Object Movement Process 146
3.5 Plane Detection and Object Placing 147
4 Application and Features 149
5 Conclusion and Future Work 151
References 151
Hand Gesture Recognition for Real-Time Game Play Using Background Elimination and Deep Convolution Neural Network 155
1 Introduction 156
1.1 Research Motivation 157
1.2 Research Work Direction and Contribution 157
1.3 Paper Organization 158
2 Related Work 158
2.1 Augmented Reality and Virtual Reality for Game Play 158
2.2 Hand Gesture Recognition Literature 160
3 Preliminaries and Dataset 161
4 Proposed Solution 163
5 Methodology 163
5.1 Background Elimination 163
5.2 Deep Convolution Neural Network 164
5.3 Human–Computer Interaction 165
6 Experiments Setup and Results 166
7 Conclusion and Future Scope 166
References 168
Modeling of Optimal Bidirectional LSTM Based Human Motion Recognition for Virtual Reality Environment 171
1 Introduction 172
2 The Proposed Human Motion Recognition Model 174
2.1 Kernel LDA Based Feature Extraction 174
2.2 BiLSTM-FCN Based Classification 175
2.3 Adam Based Hyperparameter Optimization 177
3 Experimental Validation 178
4 Conclusion 183
References 183

"This book presents the augmented reality (AR) and virtual reality (VR) automotive applications. It unites automobile with a leading technology i.e. augmented and virtual reality and uses the advantages of the latter to solve the problems faced by the former. The book highlights the reasons for the growing abundance and complexity in this sector. Virtual and augmented reality presents a powerful engineering tool that finds application in various engineering fields. It brings new possibilities that result is increasing of productivity and reliability of production, quality of products and processes. The book further illustrates the possible challenges in its applications and suggests ways to overcome them. The book includes nine chapters focusing on automobile collision avoidance, self-driving cars, autonomous vehicles, navigation systems, and many more applications."-- Back cover

2022-02-26