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E-grāmata: AI for Cars

(SGEC, Munich, Germany),
  • Formāts: 128 pages
  • Sērija : AI for Everything
  • Izdošanas datums: 28-Jul-2021
  • Izdevniecība: Chapman & Hall/CRC
  • Valoda: eng
  • ISBN-13: 9781000417197
  • Formāts - EPUB+DRM
  • Cena: 28,79 €*
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  • Formāts: 128 pages
  • Sērija : AI for Everything
  • Izdošanas datums: 28-Jul-2021
  • Izdevniecība: Chapman & Hall/CRC
  • Valoda: eng
  • ISBN-13: 9781000417197

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"Artificial Intelligence (AI) is undoubtedly playing an increasingly significant role in automobile technology. 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. 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"--

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 can find so many AI innovations packed into a single product.

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. 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.



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.

Foreword vii
Preface ix
1 AI for Advanced Driver Assistance Systems
1(18)
Automatic Parking
3(5)
Traffic Sign Recognition
8(4)
Driver Monitoring System
12(5)
Summary
17(2)
2 AI for Autonomous Driving
19(14)
Perception
22(4)
Planning
26(3)
Motion Control
29(2)
Summary
31(2)
3 AI for In-Vehicle Infotainment Systems
33(16)
Gesture Control
35(3)
Voice Assistant
38(5)
User Action Prediction
43(4)
Summary
47(2)
4 AI for Research & Development
49(18)
Automated Rules Generation
52(3)
Virtual Testing Platform
55(4)
Synthetic Scenario Generation
59(5)
Summary
64(3)
5 AI for Services
67(12)
Predictive Diagnostics
70(2)
Predictive Maintenance
72(3)
Driver Behavior Analysis
75(2)
Summary
77(2)
6 The Future of AI in Cars
79(14)
A Tale of Two Paradigms
82(2)
AI & Car Safety
84(3)
AI & Car Security
87(4)
Summary
91(2)
Further Reading 93(2)
References 95(16)
Index 111
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.