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AI for Cars: AI for Everything

Autor Josep Aulinas, Hanky Sjafrie
en Limba Engleză Paperback – 29 iul 2021
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.
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Specificații

ISBN-13: 9780367565190
ISBN-10: 0367565196
Pagini: 128
Ilustrații: 6 Halftones, black and white; 6 Illustrations, black and white
Dimensiuni: 129 x 198 x 9 mm
Greutate: 0.44 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria AI for Everything


Public țintă

Further/Vocational Education, General, and Professional Practice & Development

Cuprins

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  

Notă biografică

Dr. Josep Aulinas is an Automotive Platform Architect at Nvidia. He specialized in computer vision and robotics and completed his Ph.D. in Simultaneous Localization and Mapping. He joined ADASENS Automotive, where he developed camera-based algorithms as part of Advanced Driver Assistance Systems (ADAS) solutions, such as vehicle recognition and tracking (forward-collision warning, automated emergency braking), lane recognition (lane departure warning, lane keep assist), traffic sign recognition, pedestrian detection (vulnerable road user protection), obstacle recognition with mono and stereo vision, among others. He then led various R+D projects, including lane change assist, camera online calibration, and lens occlusion detection. At Nvidia, he is supporting OEMs define their next-generation architecture, targeting higher levels of ADAS and ultimately Automated Driving (AD). 
Hanky Sjafrie is the author of Introduction to Self-Driving Vehicle Technology and an independent consultant specializing in automotive software engineering for Advanced Driver Assistance (ADAS) and Autonomous Driving (AD). Much of his experience was acquired through his deep involvement in these fields while working on various R&D projects for car manufacturers and automotive technology suppliers, ranging from sensor technologies (radars, lidars, ultrasonics, etc.) to automotive cybersecurity. He was actively involved in diverse series development and research projects within the domains of ADAS/AD and infotainment systems at BMW and Audi, as well as at a Silicon Valley-based autonomous driving start-up. Besides working with clients from the automotive industry, he also provides insights into the realm of automotive technology to Siemens, Boston Consulting Group, PricewaterhouseCoopers, and Roland Berger, among others.

Descriere

AI for Cars book provides a short-guided tour through many different AI landscapes including robotics, image and speech processing, recommender systems and on to deep learning, all within the automobile world.