AI's role in enhanced automotive safety /

"This book presents a scientific-technical overview of AI-driven advancements in automotive safety, highlight possible obstacles to widespread adoption, and offer policy suggestions"--

Bibliographic Details
Other Authors:	Vyas, Vikas, 1980- (Editor), Bi, Xiaowei, 1997- (Editor), Pandey, Digvijay (Editor), Xu, Zheyuan, 1996- (Editor), Pandey, Binay, 1983- (Editor)
Format:	eBook
Language:	English
Published:	Hershey, PA : IGI Global Scientific Publishing, [2025]
Subjects:	Automobiles > Safety measures. Artificial intelligence > Industrial applications. Automobiles > Sécurité > Mesures. Intelligence artificielle > Applications industrielles. Electronic books.

Table of Contents:

Preface
Chapter 1. Advanced Deep Learning for IoT Sensor Data Processing in Autonomous Vehicle Navigation Systems
Chapter 2. AI and DL in Education Teaching Automotive Safety Skills
Chapter 3. Banking Sector Innovations Supporting Safer Automotive Technologies
Chapter 4. Data-Driven Marketing for Promoting AI-Enhanced Vehicle Safety Features
Chapter 5. Deep Learning for Real-Time Traffic Analysis and Decision-Making in IoT-Connected Autonomous Vehicles
Chapter 6. Decision-Making in Automotive Working Employee Safety Projects Using AI With IoT-Driven Analytics Using Big Data
Chapter 7. Economic Implications of AI-Powered Safety Features in Vehicles
Chapter 8. Deep Learning-Based Multi-Sensor Fusion for Safe and Efficient Autonomous Vehicle Operations in IoT-Enabled Smart Cities
Chapter 9. Financial Strategies for Talent Acquisition in AI-Powered Autonomous Vehicles Safety Projects
Chapter 10. Intelligent Deep Learning Architectures for Real-Time Traffic Analysis and Decision Support in IoT-Enabled Autonomous Vehicles
Chapter 11. Financing AI-Based Safety Features in Autonomous Vehicle Development
Chapter 12. Deep Learning Tools for Strategic Planning in Vehicle Safety Standards
Chapter 13. Deep Learning-Powered IoT Solutions for Real-Time Environment Perception and Navigation in Autonomous Vehicles With NLP Features
Chapter 14. Cost-Benefit Analysis of AI Safety Upgrades in Automotive Manufacturing
Chapter 15. AI-Based Economic Models for Evaluating Vehicle Safety Costs and Benefits
Chapter 16. Evaluating Economic Benefits of AI-Powered Crash Prevention Technologies
Chapter 17. AI-Powered Consumer Insights on Autonomous Vehicle Safety Preferences
Chapter 18. IoT-Connected Vehicle Networks Using Machine Learning and NLP for Enhanced Traffic Management and Autonomous Driving Efficiency
Chapter 19. Leveraging Neural Networks for Consumer Trust in Safer Vehicles
Chapter 20. Machine Learning for Consumer-Centric Safety in Automotive Commerce
Chapter 21. Leveraging AI and ML for Enhanced Efficiency and Innovation in Manufacturing
Chapter 22. Machine Learning for Enhancing Workforce Safety in Automotive Manufacturing
Chapter 23. NLP Voice Assistance for IoT Autonomous Vehicles Using ML Algorithms for Seamless Navigation
Chapter 24. Machine Learning in Understanding Public Perceptions and Expectations in Accuracy of Automotive Safety
Chapter 25. Predictive Analytics for Risk Reduction in Vehicle Supply Chain Management
Chapter 26. ML Tools for Safety in Automotive Financial Risk Management
Chapter 27. Predictive Analytics in Automotive Insurance for Financial Risk Mitigation
Chapter 28. Real-Time Financial and Traffic for Marketing Management Through Deep Learning for IoT-Integrated Autonomous Vehicle System
Chapter 29. Predictive Economic Modeling for Adoption of Safety Features in Vehicles
Chapter 30. Supply Chain Innovations in Automotive Risk Assessment With AI Algorithms
Chapter 31. Predictive Models for Recruiting Talent in Autonomous Vehicle Safety Development
Chapter 32. Revolutionizing Human Resources for Safer Automotive Work Environments
Chapter 33. The Quantum Leap: Integrating Quantum Computing With AI for Next-Gen Automotive Safety
Compilation of References
About the Contributors
Index.