AI for Cars

AI for Cars PDF Author: Josep Aulinas
Publisher: CRC Press
ISBN: 1000417166
Category : Computers
Languages : en
Pages : 128

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Book Description
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.

AI for Cars

AI for Cars PDF Author: Josep Aulinas
Publisher: CRC Press
ISBN: 1000417166
Category : Computers
Languages : en
Pages : 128

Get Book

Book Description
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.

The Future of the Automotive Industry

The Future of the Automotive Industry PDF Author: Inma Martínez
Publisher: Apress
ISBN: 9781484270257
Category : Technology & Engineering
Languages : en
Pages : 204

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Book Description
Nothing defined the 20th century more than the evolution of the car industry. The 2020 decade will see the automotive industry leap forward beyond simply moving people geographically toward a new purpose: to become a services industry. This book takes readers on a journey where cars will evolve towards becoming “computers on wheels." The automotive industry is one of the sectors most profoundly changed by digitalization and the 21st century energy needs. You'll explore the shifting paradigms and how cars today represent a new interpretation of what driving should be and what cars should offer. This book presents exciting case studies on how artificial intelligence (AI) and data analytics are used to design future cars, predict car efficiency, ensure safety and simulate engineering dynamics for its design, as well as a new arena for IoT and human data. It opens a window into the origins of cars becoming software-run machines, first to run internal diagnostics, and then to become machines connected to other external machines via Bluetooth, to finally the Internet via 5G. From transportation to solving people’s problems, The Future of the Automotive Industry is less about the technology itself, but more about the outcomes of technology in the future, and the transformative power it has over a much beloved item: cars. What You’ll Learn Explore smart cities and their evolution when it comes to traffic and vehicles Gain a new perspective on the future of cars and transportation based on how digital technologies will transform vehicles Examine how AI and IoT will create new contexts of interactions with drivers and passengers alike Review concepts such as personalizing the driving experience and how this will take form See how self-driving cars impact data mining of personal data Who This Book Is For Anyone with an interest in digital advancements in the automotive industry beyond the connected car.

Introduction to Driverless Self-Driving Cars

Introduction to Driverless Self-Driving Cars PDF Author: Lance Eliot
Publisher: Lbe Press Publishing
ISBN: 9780692052464
Category :
Languages : en
Pages : 346

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Book Description
Based on his popular AI Insider column and reader feedback, this is Dr. Eliot's highly rated introductory coverage on the emergence and advent of autonomous driverless self-driving cars. Readable for everyone, discover the underlying technology that makes self-driving cars achievable. Furthermore, learn about the key business aspects, economics, and politics that will shape the future of self-driving cars. Essential elements of Artificial Intelligence (AI) and Machine Learning are covered, along with blockchain, bitcoins, genetic algorithms, neural networks, and more.

Advances in AI and Autonomous Vehicles: Cybernetic Self-Driving Cars

Advances in AI and Autonomous Vehicles: Cybernetic Self-Driving Cars PDF Author: Lance Eliot
Publisher: Lbe Press Publishing
ISBN: 9780692915172
Category :
Languages : en
Pages : 250

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Book Description
This ground-breaking and insider look at cybernetic self-driving cars provides a state-of-the-art exploration of how advances in AI and machine learning are enabling the advent of self-driving cars.

Artificial Intelligence for Autonomous Vehicles

Artificial Intelligence for Autonomous Vehicles PDF Author: Sathiyaraj Rajendran
Publisher: John Wiley & Sons
ISBN: 111984763X
Category : Computers
Languages : en
Pages : 208

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Book Description
With the advent of advanced technologies in AI, driverless vehicles have elevated curiosity among various sectors of society. The automotive industry is in a technological boom with autonomous vehicle concepts. Autonomous driving is one of the crucial application areas of Artificial Intelligence (AI). Autonomous vehicles are armed with sensors, radars, and cameras. This made driverless technology possible in many parts of the world. In short, our traditional vehicle driving may swing to driverless technology. Many researchers are trying to come out with novel AI algorithms that are capable of handling driverless technology. The current existing algorithms are not able to support and elevate the concept of autonomous vehicles. This addresses the necessity of novel methods and tools focused to design and develop frameworks for autonomous vehicles. There is a great demand for energy-efficient solutions for managing the data collected with the help of sensors. These operations are exclusively focused on non-traditional programming approaches and depend on machine learning techniques, which are part of AI. There are multiple issues that AI needs to resolve for us to achieve a reliable and safe driverless technology. The purpose of this book is to find effective solutions to make autonomous vehicles a reality, presenting their challenges and endeavors. The major contribution of this book is to provide a bundle of AI solutions for driverless technology that can offer a safe, clean, and more convenient riskless mode of transportation.

Self-Driving Cars

Self-Driving Cars PDF Author: Lance Eliot
Publisher:
ISBN: 9780692914540
Category :
Languages : en
Pages : 248

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Book Description
An exclusive insider look at the making of self-driving cars and how advances in Artificial Intelligence (AI) are helping to achieve this moonshot goal. Apple CEO Tim Cook famously proclaimed that the development of a self-driving car is "the Mother of all AI projects." Read about the good, bad, and the ugly of self-driving cars. Author Dr. Lance B. Eliot is a popular AI expert, entrepreneur and seasoned AI developer known for his expertise and leadership in the field of self-driving cars.

Autonomous Vehicle Driverless Self-Driving Cars and Artificial Intelligence

Autonomous Vehicle Driverless Self-Driving Cars and Artificial Intelligence PDF Author: Lance B. Eliot
Publisher: Lbe Press Publishing
ISBN: 9780692051023
Category : Artificial intelligence
Languages : en
Pages : 252

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Book Description
Based on their systems expertise and their state-of-the-art research, the authors of this outstanding book explore practical and forward-thinking aspects about the emergence of driverless self-driving cars. Artificial Intelligence (AI) and Machine Learning are explored as a key to breakthroughs for self-driving car high-tech innovations. In addition, the authors cover the business, economic, and societal considerations about these autonomous vehicles. This duo has combined their key talents into a vital book packed with new insights and transformational ideas.

The Future of the Automotive Industry

The Future of the Automotive Industry PDF Author: Inma Martínez
Publisher:
ISBN: 9781484275924
Category :
Languages : en
Pages : 0

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Book Description
Nothing defined the 20th century more than the evolution of the car industry. The 2020 decade will see the automotive industry leap forward beyond simply moving people geographically toward a new purpose: to become a services industry. This book takes readers on a journey where cars will evolve towards becoming "computers on wheels." The automotive industry is one of the sectors most profoundly changed by digitalization and the 21st century energy needs. You'll explore the shifting paradigms and how cars today represent a new interpretation of what driving should be and what cars should offer. This book presents exciting case studies on how artificial intelligence (AI) and data analytics are used to design future cars, predict car efficiency, ensure safety and simulate engineering dynamics for its design, as well as a new arena for IoT and human data. It opens a window into the origins of cars becoming software-run machines, first to run internal diagnostics, and then to become machines connected to other external machines via Bluetooth, to finally the Internet via 5G. From transportation to solving people's problems, The Future of the Automotive Industry is less about the technology itself, but more about the outcomes of technology in the future, and the transformative power it has over a much beloved item: cars. You will: Explore smart cities and their evolution when it comes to traffic and vehicles Gain a new perspective on the future of cars and transportation based on how digital technologies will transform vehicles Examine how AI and IoT will create new contexts of interactions with drivers and passengers alike Review concepts such as personalizing the driving experience and how this will take form See how self-driving cars impact data mining of personal data.

AI-enabled Technologies for Autonomous and Connected Vehicles

AI-enabled Technologies for Autonomous and Connected Vehicles PDF Author: Yi Lu Murphey
Publisher: Springer Nature
ISBN: 3031067800
Category : Technology & Engineering
Languages : en
Pages : 563

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Book Description
This book reports on cutting-edge research and advances in the field of intelligent vehicle systems. It presents a broad range of AI-enabled technologies, with a focus on automated, autonomous and connected vehicle systems. It covers advanced machine learning technologies, including deep and reinforcement learning algorithms, transfer learning and learning from big data, as well as control theory applied to mobility and vehicle systems. Furthermore, it reports on cutting-edge technologies for environmental perception and vehicle-to-everything (V2X), discussing socioeconomic and environmental implications, and aspects related to human factors and energy-efficiency alike, of automated mobility. Gathering chapters written by renowned researchers and professionals, this book offers a good balance of theoretical and practical knowledge. It provides researchers, practitioners and policy makers with a comprehensive and timely guide on the field of autonomous driving technologies.

Business Trends in Practice

Business Trends in Practice PDF Author: Bernard Marr
Publisher: John Wiley & Sons
ISBN: 1119795575
Category : Business & Economics
Languages : en
Pages : 359

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Book Description
WINNER OF THE BUSINESS BOOK OF THE YEAR AWARD 2022! Stay one step ahead of the competition with this expert review of the most impactful and disruptive business trends coming down the pike Far from slowing down, change and transformation in business seems to come only at a more and more furious rate. The last ten years alone have seen the introduction of groundbreaking new trends that pose new opportunities and challenges for leaders in all industries. In Business Trends in Practice: The 25+ Trends That Are Redefining Organizations, best-selling business author and strategist Bernard Marr breaks down the social and technological forces underlying these rapidly advancing changes and the impact of those changes on key industries. Critical consumer trends just emerging today—or poised to emerge tomorrow—are discussed, as are strategies for rethinking your organisation’s product and service delivery. The book also explores: Crucial business operations trends that are changing the way companies conduct themselves in the 21st century The practical insights and takeaways you can glean from technological and social innovation when you cut through the hype Disruptive new technologies, including AI, robotic and business process automation, remote work, as well as social and environmental sustainability trends Business Trends in Practice: The 25+ Trends That Are Redefining Organizations is a must-read resource for executives, business leaders and managers, and business development and innovation leads trying to get – and stay – on top of changes and disruptions that are right around the corner.