Artificial Intelligence for Autonomous Vehicles

,Contents
1. Cover
2. Table of Contents
3. Series Page
4. Title Page
5. Copyright Page
6. Preface
7. 1 Artificial Intelligence in Autonomous Vehicles—A Survey of Trends and Challenges
1. 1.1 Introduction
2. 1.2 Research Trends of AI for AV
3. 1.3 AV-Pipeline Activities
4. 1.4 Datasets in the Literature of Autonomous Vehicles
5. 1.5 Current Industry Standards in AV
6. 1.6 Challenges and Opportunities in AV
7. 1.7 Conclusion
8. References
8. 2 Age of Computational AI for Autonomous Vehicles
1. 2.1 Introduction
2. 2.2 Autonomy
3. 2.3 Classification of Technological Advances in Vehicle Technology
4. 2.4 Vehicle Architecture Adaptation
5. 2.5 Future Directions of Autonomous Driving
6. 2.6 Conclusion
7. References
9. 3 State of the Art of Artificial Intelligence Approaches Toward Driverless Technology
1. 3.1 Introduction
2. 3.2 Role of AI in Driverless Cars
3. 3.3 Conclusion
4. References
10. 4 A Survey on Architecture of Autonomous Vehicles
1. 4.1 Introduction
2. 4.2 A Study on Technologies Used in AV
3. 4.3 Analysis on the Architecture of Autonomous Vehicles
4. 4.4 Analysis on One of the Proposed Architectures
5. 4.5 Functional Architecture of Autonomous Vehicles
6. 4.6 Challenges in Building the Architecture of Autonomous Vehicles
7. 4.7 Advantages of Autonomous Vehicles
8. 4.8 Use Cases for Autonomous Vehicle Technology
9. 4.9 Future Aspects of Autonomous Vehicles
10. 4.10 Summary
11. References
11. 5 Autonomous Car Driver Assistance System
1. 5.1 Introduction
2. 5.2 Related Work

, 3. 5.3 Methodology
4. 5.4 Results and Analysis
5. 5.5 Conclusion
6. References
12. 6 AI-Powered Drones for Healthcare Applications
1. 6.1 Introduction
2. 6.2 Kinds of Drones Used by Medical Professionals
3. 6.3 Medical and Public Health Surveillance
4. 6.4 Potential Benefits of Drones in the Healthcare Industry
5. 6.5 Conclusion
6. References
13. 7 An Approach for Avoiding Collisions with Obstacles in Order to Enable Autonomous
Cars to Travel Through Both Static and Moving Environments
1. 7.1 Introduction
2. 7.2 Related Works
3. 7.3 Methodology of the Proposed Work
4. 7.4 Experimental Results and Analysis
5. 7.5 Results and Analysis
6. 7.6 Conclusion
7. References
14. 8 Drivers’ Emotions’ Recognition Using Facial Expression from Live Video Clips in
Autonomous Vehicles
1. 8.1 Introduction
2. 8.2 Related Work
3. 8.3 Proposed Method
4. 8.4 Results and Analysis
5. 8.5 Conclusions
6. References
15. 9 Models for the Driver Assistance System
1. 9.1 Introduction
2. 9.2 Related Survey
3. 9.3 Proposed Methodology
4. 9.4 Experimental Study
5. 9.5 Conclusion
6. References
16. 10 Control of Autonomous Underwater Vehicles
1. 10.1 Introduction
2. 10.2 Literature Review
3. 10.3 Control Problem in AUV Control System
4. 10.4 Methodology
5. 10.5 Results
6. References
17. 11 Security and Privacy Issues of AI in Autonomous Vehicles
1. 11.1 Introduction
2. 11.2 Development of Autonomous Cars with Existing Review
3. 11.3 Automation Levels of Autonomous Vehicles

, 4. 11.4 The Architecture of an Autonomous Vehicle
5. 11.5 Threat Model
6. 11.6 Autonomous Vehicles with AI in IoT-Enabled Environments
7. 11.7 Physical Attacks Using AI Against Autonomous Vehicles
8. 11.8 AI Cybersecurity Issues for Autonomous Vehicles
9. 11.9 Cyberattack Defense Mechanisms
10. 11.10 Solution Based on Machine Learning
11. 11.11 Conclusion
12. References
18. Index
19. Also of Interest
20. End User License Agreement

List of Tables
1. Chapter 5
1. Table 5.1 Indian traffic police hand gestures.
2. Chapter 8
1. Table 8.1 Shallow version of emotion accuracy.
2. Table 8.2 Deep version of emotion accuracy.
3. Chapter 9
1. Table 9.1 Input parameters with results.

List of Illustrations
1. Chapter 1
1. Figure 1.1 Representation of the AV system.
2. Figure 1.2 Traffic signs from the GTSRB dataset [16].
3. Figure 1.3 Straight lane line.
4. Figure 1.4 Curved lane line.
2. Chapter 2
1. Figure 2.1 Summary of fatalities due to traffic accidents.
2. Figure 2.2 Primary components in driverless technology.
3. Figure 2.3 Schematic block diagram for autonomous vehicles.
4. Figure 2.4 Autonomous levels.
5. Figure 2.5 Fundamental navigation functions.
6. Figure 2.6 An insight of a self-driving car.
7. Figure 2.7 Training the model using deep learning techniques.
8. Figure 2.8 Communications between V2V and V2R.
9. Figure 2.9 Automated control system.
10. Figure 2.10 Identification of ambulance locations.
11. Figure 2.11 Alternate routes to reach the target.
3. Chapter 3
1. Figure 3.1 System architecture for selecting the leader car.
4. Chapter 4