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Author : Hod Lipson
Publisher : MIT Press
ISBN 13 : 0262035227
Total Pages : 324 pages
Book Rating : 4.2/5 (62 download)
Download or read book Driverless written by Hod Lipson and published by MIT Press. This book was released on 2016-09-23 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: When human drivers let intelligent software take the wheel: the beginning of a new era in personal mobility.
Author : Hanky Sjafrie
Publisher : CRC Press
ISBN 13 : 1000711773
Total Pages : 255 pages
Book Rating : 4.0/5 (7 download)
Download or read book Introduction to Self-Driving Vehicle Technology written by Hanky Sjafrie and published by CRC Press. This book was released on 2019-11-27 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to teach the core concepts that make Self-driving vehicles (SDVs) possible. It is aimed at people who want to get their teeth into self-driving vehicle technology, by providing genuine technical insights where other books just skim the surface. The book tackles everything from sensors and perception to functional safety and cybersecurity. It also passes on some practical know-how and discusses concrete SDV applications, along with a discussion of where this technology is heading. It will serve as a good starting point for software developers or professional engineers who are eager to pursue a career in this exciting field and want to learn more about the basics of SDV algorithms. Likewise, academic researchers, technology enthusiasts, and journalists will also find the book useful. Key Features: Offers a comprehensive technological walk-through of what really matters in SDV development: from hardware, software, to functional safety and cybersecurity Written by an active practitioner with extensive experience in series development and research in the fields of Advanced Driver Assistance Systems (ADAS) and Autonomous Driving Covers theoretical fundamentals of state-of-the-art SLAM, multi-sensor data fusion, and other SDV algorithms. Includes practical information and hands-on material with Robot Operating System (ROS) and Open Source Car Control (OSCC). Provides an overview of the strategies, trends, and applications which companies are pursuing in this field at present as well as other technical insights from the industry.
Author : Anthony M. Townsend
Publisher : W. W. Norton & Company
ISBN 13 : 1324001534
Total Pages : 336 pages
Book Rating : 4.3/5 (24 download)
Download or read book Ghost Road: Beyond the Driverless Car written by Anthony M. Townsend and published by W. W. Norton & Company. This book was released on 2020-06-16 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: A penetrating look at near-future disruption as truly autonomous vehicles arrive. For decades we have dreamed of building an automobile that can drive itself. But as that dream of autonomy draws close, we are discovering that the driverless car is a red herring. When self-driving technology infects buses, bikes, delivery vans, and even buildings…a wild, woollier, future awaits. Technology will transform life behind the wheel into a high-def video game that makes our ride safer, smoother, and more efficient. Meanwhile, autonomous vehicles will turbocharge our appetite for the instant delivery of goods, making the future as much about moving things as it is about moving people. Giant corporations will link the automated machines that move us to the cloud, raising concerns about mobility monopolies and privatization of streets and sidewalks. The pace of our daily lives and the fabric of our cities and towns will change dramatically as automated vehicles reprogram the way we work, shop, and play. Ghost Road is both a beacon and a warning; it explains where we might be headed together in driverless vehicles, and the choices we must make as societies and individuals to shape that future.
Author : Michael Fallon
Publisher : Twenty-First Century Books (Tm)
ISBN 13 : 1541500555
Total Pages : 108 pages
Book Rating : 4.5/5 (415 download)
Download or read book Self-driving Cars written by Michael Fallon and published by Twenty-First Century Books (Tm). This book was released on 2018-08 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Author Fallon presents a history of how the technology used in self-driving cars has developed, identifies recent technological gains, and surveys recent controversies surrounding the potential mass adoption of self-driving cars."--Provided by publisher.
Author : Stephen Currie
Publisher : Norwood House Press
ISBN 13 : 1599537621
Total Pages : 48 pages
Book Rating : 4.5/5 (995 download)
Download or read book Self-Driving Car written by Stephen Currie and published by Norwood House Press. This book was released on 2016-04-24 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: Self Driving Cars offer new alternatives to the way we look at driving. From advances in computers, cameras, and technologies; Self Driving cars offer many benefits to drivers and passengers. Correlates with STEM instruction. Includes glossary, websites, and bibliography for further reading. Correlations available on publisher's website.
Author : Sumit Ranjan
Publisher : Packt Publishing Ltd
ISBN 13 : 1838647023
Total Pages : 320 pages
Book Rating : 4.8/5 (386 download)
Download or read book Applied Deep Learning and Computer Vision for Self-Driving Cars written by Sumit Ranjan and published by Packt Publishing Ltd. This book was released on 2020-08-14 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore self-driving car technology using deep learning and artificial intelligence techniques and libraries such as TensorFlow, Keras, and OpenCV Key FeaturesBuild and train powerful neural network models to build an autonomous carImplement computer vision, deep learning, and AI techniques to create automotive algorithmsOvercome the challenges faced while automating different aspects of driving using modern Python libraries and architecturesBook Description Thanks to a number of recent breakthroughs, self-driving car technology is now an emerging subject in the field of artificial intelligence and has shifted data scientists' focus to building autonomous cars that will transform the automotive industry. This book is a comprehensive guide to use deep learning and computer vision techniques to develop autonomous cars. Starting with the basics of self-driving cars (SDCs), this book will take you through the deep neural network techniques required to get up and running with building your autonomous vehicle. Once you are comfortable with the basics, you'll delve into advanced computer vision techniques and learn how to use deep learning methods to perform a variety of computer vision tasks such as finding lane lines, improving image classification, and so on. You will explore the basic structure and working of a semantic segmentation model and get to grips with detecting cars using semantic segmentation. The book also covers advanced applications such as behavior-cloning and vehicle detection using OpenCV, transfer learning, and deep learning methodologies to train SDCs to mimic human driving. By the end of this book, you'll have learned how to implement a variety of neural networks to develop your own autonomous vehicle using modern Python libraries. What you will learnImplement deep neural network from scratch using the Keras libraryUnderstand the importance of deep learning in self-driving carsGet to grips with feature extraction techniques in image processing using the OpenCV libraryDesign a software pipeline that detects lane lines in videosImplement a convolutional neural network (CNN) image classifier for traffic signal signsTrain and test neural networks for behavioral-cloning by driving a car in a virtual simulatorDiscover various state-of-the-art semantic segmentation and object detection architecturesWho this book is for If you are a deep learning engineer, AI researcher, or anyone looking to implement deep learning and computer vision techniques to build self-driving blueprint solutions, this book is for you. Anyone who wants to learn how various automotive-related algorithms are built, will also find this book useful. Python programming experience, along with a basic understanding of deep learning, is necessary to get the most of this book.
Author : Andreas Herrmann
Publisher : Emerald Group Publishing
ISBN 13 : 1787148335
Total Pages : 460 pages
Book Rating : 4.7/5 (871 download)
Download or read book Autonomous Driving written by Andreas Herrmann and published by Emerald Group Publishing. This book was released on 2018-03-26 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: The technology and engineering behind autonomous driving is advancing at pace. This book presents the latest technical advances and the economic, environmental and social impact driverless cars will have on individuals and the automotive industry.
Author : Haydn Sonnad
Publisher : Cherry Lake
ISBN 13 : 153414904X
Total Pages : 32 pages
Book Rating : 4.5/5 (341 download)
Download or read book Self-Driving Cars written by Haydn Sonnad and published by Cherry Lake. This book was released on 2019-08-01 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cars have come a long way thanks to technology, from Model T cars to cars that drive themselves. In Self-Driving Cars in the Disruptors in Tech series, readers will discover how autonomous driving technology has and continues to disrupt industries from car manufacturers to city infrastructures. Series includes a table of contents, tech-forward sidebars, a timeline, glossary, index, and author biography.
Author : Samuel I Schwartz
Publisher : PublicAffairs
ISBN 13 : 1541724046
Total Pages : 266 pages
Book Rating : 4.5/5 (417 download)
Download or read book No One at the Wheel written by Samuel I Schwartz and published by PublicAffairs. This book was released on 2018-11-20 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The country's leading transport expert describes how the driverless vehicle revolution will transform highways, cities, workplaces and laws not just here, but across the globe. Our time at the wheel is done. Driving will become illegal, as human drivers will be demonstrably more dangerous than cars that pilot themselves. Is this an impossible future, or a revolution just around the corner? Sam Schwartz, America's most celebrated transportation guru, describes in this book the revolution in self-driving cars. The ramifications will be dramatic, and the transition will be far from seamless. It will overturn the job market for the one in seven Americans who work in the trucking industry. It will cause us to grapple with new ethical dilemmas-if a car will hit a person or a building, endangering the lives of its passengers, who will decide what it does? It will further erode our privacy, since the vehicle can relay our location at any moment. And, like every other computer-controlled device, it can be vulnerable to hacking. Right now, every major car maker here and abroad is working on bringing autonomous vehicles to consumers. The fleets are getting ready to roll and nothing will ever be the same, and this book shows us what the future has in store.
Author : Vivek Wadhwa
Publisher : Berrett-Koehler Publishers
ISBN 13 : 1626569738
Total Pages : 205 pages
Book Rating : 4.6/5 (265 download)
Download or read book The Driver in the Driverless Car written by Vivek Wadhwa and published by Berrett-Koehler Publishers. This book was released on 2017-04-03 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: A computer beats the reigning human champion of Go, a game harder than chess. Another is composing classical music. Labs are creating life-forms from synthetic DNA. A doctor designs an artificial trachea, uses a 3D printer to produce it, and implants it and saves a child's life. Astonishing technological advances like these are arriving in increasing numbers. Scholar and entrepreneur Vivek Wadhwa uses this book to alert us to dozens of them and raise important questions about what they may mean for us. Breakthroughs such as personalized genomics, self-driving vehicles, drones, and artificial intelligence could make our lives healthier, safer, and easier. But the same technologies raise the specter of a frightening, alienating future: eugenics, a jobless economy, complete loss of privacy, and ever-worsening economic inequality. As Wadhwa puts it, our choices will determine if our future is Star Trek or Mad Max. Wadhwa offers us three questions to ask about every emerging technology: Does it have the potential to benefit everyone equally? What are its risks and rewards? And does it promote autonomy or dependence? Looking at a broad array of advances in this light, he emphasizes that the future is up to us to create—that even if our hands are not on the wheel, we will decide the driverless car's destination.
Author : Hod Lipson
Publisher : MIT Press
ISBN 13 : 0262336650
Total Pages : 324 pages
Book Rating : 4.2/5 (623 download)
Download or read book Driverless written by Hod Lipson and published by MIT Press. This book was released on 2016-09-30 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: When human drivers let intelligent software take the wheel: the beginning of a new era in personal mobility. “Smart, wide-ranging, [and] nontechnical.” —Los Angeles Times “Anyone who wants to understand what's coming must read this fascinating book.” —Martin Ford, New York Times bestselling author of Rise of the Robots In the year 2014, Google fired a shot heard all the way to Detroit. Google's newest driverless car had no steering wheel and no brakes. The message was clear: cars of the future will be born fully autonomous, with no human driver needed. In the coming decade, self-driving cars will hit the streets, rearranging established industries and reshaping cities, giving us new choices in where we live and how we work and play. In this book, Hod Lipson and Melba Kurman offer readers insight into the risks and benefits of driverless cars and a lucid and engaging explanation of the enabling technology. Recent advances in software and robotics are toppling long-standing technological barriers that for decades have confined self-driving cars to the realm of fantasy. A new kind of artificial intelligence software called deep learning gives cars rapid and accurate visual perception. Human drivers can relax and take their eyes off the road. When human drivers let intelligent software take the wheel, driverless cars will offer billions of people all over the world a safer, cleaner, and more convenient mode of transportation. Although the technology is nearly ready, car companies and policy makers may not be. The authors make a compelling case for why government, industry, and consumers need to work together to make the development of driverless cars our society's next “Apollo moment.”
Author : Matt Chandler
Publisher : Tech on Wheels
ISBN 13 : 1543573053
Total Pages : 33 pages
Book Rating : 4.5/5 (435 download)
Download or read book The Tech Behind Self-Driving Cars written by Matt Chandler and published by Tech on Wheels. This book was released on 2019-08 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: No longer a part of science fiction, self-driving cars are a reality. Is there an object blocking the way? Sensors will see it and apply the brakes. Drifting out of a lane? The car will steer you back. Complex computer systems continually monitor data and act. Take readers on journey through the technology currently in self-driving cars and where engineers want to go in the future.
Author : Alex Davies
Publisher : Simon and Schuster
ISBN 13 : 1501199463
Total Pages : 209 pages
Book Rating : 4.5/5 (11 download)
Download or read book Driven written by Alex Davies and published by Simon and Schuster. This book was released on 2021-01-05 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: Alex Davies tells the “illuminating and important narrative” (Steven Levy, author of Facebook: The Inside Story) of the quest to develop driverless cars—and the fierce competition between Google, Uber, and other companies in a race to revolutionize our lives. The self-driving car has been one of the most vaunted technological breakthroughs of recent years. But early promises that these autonomous vehicles would soon be on the roads have proven premature. Alex Davies follows the twists and turns of the story from its origins to today. The story starts with the Defense Advanced Research Projects Agency (DARPA), which was charged with developing a land-based equivalent to the drone, a vehicle that could operate in war zones without risking human lives. DARPA issued a series of three “Grand Challenges” that attracted visionaries, many of them students and amateurs, who took the technology from Jetsons-style fantasy to near-reality. The young stars of the Challenges soon connected with Silicon Valley giants Google and Uber, intent on delivering a new way of driving to the civilian world. Soon the automakers joined the quest, some on their own, others in partnership with the tech titans. But as road testing progressed, it became clear that the challenges of driving a car without human assistance were more formidable than anticipated. Davies profiles the industry’s key players from the early enthusiasm of the DARPA days to their growing awareness that while this spin on artificial intelligence isn’t yet ready for rush-hour traffic, driverless cars are poised to remake how the world moves. Driven explores “the epic tale of competition and comradery, long odds and underdogs, all in service of a world-changing moonshot” (Andy Greenberg, author of Sandworm: A New Era of Cyberwar).
Author : Markus Maurer
Publisher : Springer
ISBN 13 : 3662488477
Total Pages : 698 pages
Book Rating : 4.6/5 (624 download)
Download or read book Autonomous Driving written by Markus Maurer and published by Springer. This book was released on 2016-05-21 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers? Where do automated vehicles fall under current legal frameworks? What risks are associated with automation and how will society respond to these risks? How will the marketplace react to automated vehicles and what changes may be necessary for companies? Experts from Germany and the United States define key societal, engineering, and mobility issues related to the automation of vehicles. They discuss the decisions programmers of automated vehicles must make to enable vehicles to perceive their environment, interact with other road users, and choose actions that may have ethical consequences. The authors further identify expectations and concerns that will form the basis for individual and societal acceptance of autonomous driving. While the safety benefits of such vehicles are tremendous, the authors demonstrate that these benefits will only be achieved if vehicles have an appropriate safety concept at the heart of their design. Realizing the potential of automated vehicles to reorganize traffic and transform mobility of people and goods requires similar care in the design of vehicles and networks. By covering all of these topics, the book aims to provide a current, comprehensive, and scientifically sound treatment of the emerging field of “autonomous driving".
Author : Katie Marsico
Publisher : Children's Press
ISBN 13 : 9781484476000
Total Pages : 0 pages
Book Rating : 4.4/5 (76 download)
Download or read book Self-Driving Cars written by Katie Marsico and published by Children's Press. This book was released on 2016-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most people spend a lot of time driving. But what if they could simply choose a destination and relax, not needing to pay attention to speed limits, traffic, or other worries on the road? Some of today's most forward-thinking engineers are working to
Author : Anna Prakash-Ashton
Publisher : Just Empower LLC
ISBN 13 : 9780578664514
Total Pages : 28 pages
Book Rating : 4.6/5 (645 download)
Download or read book Have You Seen a Self-Driving Car? written by Anna Prakash-Ashton and published by Just Empower LLC. This book was released on 2020-04 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: Have You Seen a Self-Driving Car? The answer is probably no - but not for long! The future is almost upon us, and soon self-driving driverless cars will be as common around your neighbourhood as regular old cars are now. Is your child ready for autonomous driving? In Have You Seen a Self-Driving Car?, engineer Anna Prakash-Ashton, Ph.D. and Elaina Ashton embark upon an exciting journey to explain just how self-driving cars work, their benefits, challenges and what they mean for you and me. Fully illustrated and filled to the brim with fun, futuristic, and educational information your children will love reading through. Have You Seen a Self-Driving Car? is the perfect way to prepare your children for the world of tomorrow while, at the same time, planting in them a curiosity for technology that may one day grow into a fully-fledged passion. Have You Seen a Self-Driving Car? is suitable for ages 5+.
Author : Luca Venturi
Publisher : Packt Publishing Ltd
ISBN 13 : 1800201931
Total Pages : 374 pages
Book Rating : 4.8/5 (2 download)
Download or read book Hands-On Vision and Behavior for Self-Driving Cars written by Luca Venturi and published by Packt Publishing Ltd. This book was released on 2020-10-23 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide to learning visual perception for self-driving cars for computer vision and autonomous system engineers Key FeaturesExplore the building blocks of the visual perception system in self-driving carsIdentify objects and lanes to define the boundary of driving surfaces using open-source tools like OpenCV and PythonImprove the object detection and classification capabilities of systems with the help of neural networksBook Description The visual perception capabilities of a self-driving car are powered by computer vision. The work relating to self-driving cars can be broadly classified into three components - robotics, computer vision, and machine learning. This book provides existing computer vision engineers and developers with the unique opportunity to be associated with this booming field. You will learn about computer vision, deep learning, and depth perception applied to driverless cars. The book provides a structured and thorough introduction, as making a real self-driving car is a huge cross-functional effort. As you progress, you will cover relevant cases with working code, before going on to understand how to use OpenCV, TensorFlow and Keras to analyze video streaming from car cameras. Later, you will learn how to interpret and make the most of lidars (light detection and ranging) to identify obstacles and localize your position. You’ll even be able to tackle core challenges in self-driving cars such as finding lanes, detecting pedestrian and crossing lights, performing semantic segmentation, and writing a PID controller. By the end of this book, you’ll be equipped with the skills you need to write code for a self-driving car running in a driverless car simulator, and be able to tackle various challenges faced by autonomous car engineers. What you will learnUnderstand how to perform camera calibrationBecome well-versed with how lane detection works in self-driving cars using OpenCVExplore behavioral cloning by self-driving in a video-game simulatorGet to grips with using lidarsDiscover how to configure the controls for autonomous vehiclesUse object detection and semantic segmentation to locate lanes, cars, and pedestriansWrite a PID controller to control a self-driving car running in a simulatorWho this book is for This book is for software engineers who are interested in learning about technologies that drive the autonomous car revolution. Although basic knowledge of computer vision and Python programming is required, prior knowledge of advanced deep learning and how to use sensors (lidar) is not needed.
