Résumé
Artificial Intelligence (AI) is undoubtedly playing an increasingly significant role in automobile technology. In fact, cars inhabit one of just a few domains where you will find many AI innovations packed into a single product.
AI for Cars provides a brief guided tour through many different AI landscapes including robotics, image and speech processing, recommender systems and onto deep learning, all within the automobile world. From pedestrian detection to driver monitoring to recommendation engines, the book discusses the background, research and progress thousands of talented engineers and researchers have achieved thus far, and their plans to deploy this life-saving technology all over the world.
Foreword
Preface
AI for Advanced Driver Assistance Systems
Automatic Parking
Traffic Sign Recognition
Driver Monitoring System
Summary
AI for Autonomous Driving
Perception
Planning
Motion Control
Summary
AI for In-Vehicle Infotainment Systems
Gesture Control
Voice Assistant
User Action Prediction
Summary
AI for Research & Development
Automated Rules Generation
Virtual Testing Platform
Synthetic Scenario Generation
Summary
AI for Services
Predictive Diagnostics
Predictive Maintenance
Driver Behavior Analysis
Summary
The Future of AI in Cars
A Tale Of Two Paradigms
AI & Car Safety
AI & Car Security
Summary
Further Reading
References
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Taylor&francis |
| Auteur(s) | Josep / Sjafrie Aulinas |
| Parution | 28/07/2021 |
| Nb. de pages | 128 |
| EAN13 | 9780367565190 |
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