How to Build Self-Driving Cars From Scratch, Part 1

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Author :
Publisher : AB Publisher LLC
ISBN 13 :
Total Pages : 46 pages
Book Rating : 4./5 ( download)

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Book Synopsis How to Build Self-Driving Cars From Scratch, Part 1 by : Bolakale Aremu

Download or read book How to Build Self-Driving Cars From Scratch, Part 1 written by Bolakale Aremu and published by AB Publisher LLC. This book was released on 2024-03-29 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is part 1 of my 3-part training guide on how to build self-driving cars from scratch. This guide is bundled with a repository containing simulations, python scripts, graphics, and other useful assets. In this step-by-step guide, I’ll teach you how to make an app that you can use to create a simulation where cars learn how to drive autonomously over racing tracks. Here’s a break down of the contents of this guide. Part 1: Car mechanics. In this part, you’ll learn how to draw the car and control it with the keyboard. You will use a multimedia library for Python called Pyglet. This is the only library you will use in this guide. This is a cross-platform windowing and multimedia library for Python. It’s a powerful yet easy-to-use Python library for building games and other visually rich applications on Windows, macOS, and Linux. Part 2: Neural network and genetic algorithm. You’ll learn how to create the AI where you combine a neural network and genetic algorithm. You’ll learn how to add sensors to the car and get output from them. To prevent the untrained network from car crashes, a genetic algorithm will be used to train the cars. This will help the cars to drive simple tracks. Part 3: Challenges. You’ll add some challenges to the system. Tracks get more complicated and will take advantage from the previous track training by storing and retrieving the car brains. By the end of this training, you will have created self-driving cars that are capable of driving on unknown tracks by understanding how to steer, accelerate, and brake based on what cars see in front of them. Since autonomous cars need a brain of some kind, you know we need some AI (artificial intelligence). AI comes in many forms, but in this guide, you’ll use a neural network where the weights are adjusted by a genetic algorithm. Employment opportunities often come from work samples and concrete skills, rather than a college degree. So, you need to learn the practical aspect well enough. This guide will not only help you learn well and build a stunning portfolio, it will also provide you continuous help and support. With this book and my dedicated 24/7 help and support team, there’s nothing for you to fear. I have helped many Python developers update their automation development skills, launch successful careers and get hired for remote jobs. I notice that even the most ambitious beginners can run into problems, such as unable to decide where to begin. Sometimes they get completely lost on the way and therefore need further help. In Chapter 3, I explain how to download my repository which contains all updates of the Python scripts (codes) and simulations used in this guide. Although I explain all the codes used in this guide clearly, if you need further help, just use my support link at the end of the Chapter. The truth is everyone needs help at one point or the other to learn and build automation in their development journey. I can give you more challenges and their solutions in my subsequent trainings.

How to Build Self-Driving Cars From Scratch, Part 2

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Author :
Publisher : AB Publisher LLC
ISBN 13 :
Total Pages : 93 pages
Book Rating : 4./5 ( download)

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Book Synopsis How to Build Self-Driving Cars From Scratch, Part 2 by : Bolakale Aremu

Download or read book How to Build Self-Driving Cars From Scratch, Part 2 written by Bolakale Aremu and published by AB Publisher LLC. This book was released on 2024-06-12 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is part 2 of my 3-part training guide on how to build self-driving cars from scratch. This guide is bundled with a repository containing simulations, python scripts, graphics, and other useful assets. In this step-by-step guide, I teach you how to make an app that you can use to create a simulation where cars learn how to drive autonomously over racing tracks. Here’s a break down of the contents of this guide. Part 1: Car mechanics. In this part, you’ll learn how to draw the car and control it with the keyboard. You will use a multimedia library for Python called Pyglet. (https://pyglet.org/). This is the only library you will use in this guide. This is a cross-platform windowing and multimedia library for Python. It’s a powerful yet easy-to-use Python library for building games and other visually rich applications on Windows, macOS, and Linux. Part 2:Neural network and genetic algorithm. You’ll learn how to create the AI where you combine a neural network and genetic algorithm. You’ll learn how to add sensors to the car and get output from them. To prevent the untrained network from car crashes, a genetic algorithm will be used to train the cars. This will help the cars to drive simple tracks. Part 3: Challenges. You’ll add some challenges to the system. Tracks get more complicated and will take advantage from the previous track training by storing and retrieving the car brains. By the end of this training, you will have created self-driving cars that are capable of driving on unknown tracks by understanding how to steer, accelerate, and brake based on what cars see in front of them. Since autonomous cars need a brain of some kind, you know we need some AI (artificial intelligence). AI comes in many forms, but in this guide, you’ll use a neural network where the weights are adjusted by a genetic algorithm. Employment opportunities often come from work samples and concrete skills, rather than a college degree. So, you need to learn the practical aspect well enough. This guide will not only help you learn well and build a stunning portfolio, it will also provide you continuous help and support. With this book and my dedicated 24/7 help and support team, there’s nothing for you to fear. I have helped many Python developers update their automation development skills, launch successful careers and get hired for remote jobs. I notice that even the most ambitious beginners can run into problems, such as unable to decide where to begin. Sometimes they get completely lost on the way and therefore need further help. In Chapter 13, I explain how to download my repository which contains all updates of the Python scripts (codes) and simulations used in this Part 2 of the guide. Although I explain all the codes used in this guide clearly, if you need further help, just use my support link at the end of the Chapter. The truth is everyone needs help at one point or the other to learn and build automation in their development journey. I can give you more challenges and their solutions in my subsequent trainings.

Driverless

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Author :
Publisher : MIT Press
ISBN 13 : 0262035227
Total Pages : 324 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Driverless by : Hod Lipson

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.

Applied Deep Learning and Computer Vision for Self-Driving Cars

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Author :
Publisher : Packt Publishing Ltd
ISBN 13 : 1838647023
Total Pages : 320 pages
Book Rating : 4.8/5 (386 download)

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Book Synopsis Applied Deep Learning and Computer Vision for Self-Driving Cars by : Sumit Ranjan

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.

Smart Technology Trends in Industrial and Business Management

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Author :
Publisher : Springer
ISBN 13 : 3319769987
Total Pages : 490 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Smart Technology Trends in Industrial and Business Management by : Dagmar Cagáňová

Download or read book Smart Technology Trends in Industrial and Business Management written by Dagmar Cagáňová and published by Springer. This book was released on 2019-02-15 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents current developments in smart city research and application regarding the management of manufacturing systems, Industry 4.0, transportation, and business management. It suggests approaches to incorporating smart city innovations into manufacturing systems, with an eye towards competitiveness in a global environment. The same pro-innovative approach is then applied to business and cooperation management. The authors also present smart city transportation solutions including vehicle data processing/reporting system, mobile application for fleet managers, bus drivers, bus passengers and special applications for smart city buses like passenger counting system, IP cameras, GPS system etc. The goal of the book is to establish channels of communication and disseminate knowledge among researchers and professionals working on smart city research and application. Features contributions on a variety of topics related to smart cities from global researchers and professionals in a wide range of sectors; Presents topics relating to smart cities such as manufacturing, business, and transportation; Includes expanded selected papers from EAI International Conference on Management of Manufacturing Systems (MMS 2016), EAI Industry of Things and Future Technologies Conference – Mobility IoT 2016 and International Conference on Smart Electric Vehicles and Vehicular Ad-hoc NETworks (SEVNET).

Make Yourself Great Again Part 1 - The Real World: How You Are Told Things Work

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Author :
Publisher : Lulu.com
ISBN 13 : 1365674185
Total Pages : 67 pages
Book Rating : 4.3/5 (656 download)

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Book Synopsis Make Yourself Great Again Part 1 - The Real World: How You Are Told Things Work by : Dr. Robert C. Worstell

Download or read book Make Yourself Great Again Part 1 - The Real World: How You Are Told Things Work written by Dr. Robert C. Worstell and published by Lulu.com. This book was released on 2017-01-11 with total page 67 pages. Available in PDF, EPUB and Kindle. Book excerpt: The One Reason For Success - and Failure - Lies Within You Have you ever had a complete melt-down, a real failure of your world-view, where the world has gone to hell and stayed there? Sad to tell you: it's your own damned fault. What makes it worse is to find out that everything you ever needed to succeed is already programmed into you and has been since you were born. Then how did you get into that mess? By blindly accepting and believing - what people told you as you were raised, and - in every school you went to, - all your on-the-job-training, - all the books you ever read, - every movie you ever saw, or - song you ever heard. All those lessons and examples just helped you believe in something other than your own natural ability to succeed. The trick to this is that we can change and improve our beliefs at any time. We only have to decide to do it and then do it. This book lays out the journey ahead. The second best time to start is today. Get Your Copy Now.

Introduction to Self-Driving Vehicle Technology

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Author :
Publisher : CRC Press
ISBN 13 : 1000711773
Total Pages : 255 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Introduction to Self-Driving Vehicle Technology by : Hanky Sjafrie

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.

Deep Learning For Dummies

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119543029
Total Pages : 371 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Deep Learning For Dummies by : John Paul Mueller

Download or read book Deep Learning For Dummies written by John Paul Mueller and published by John Wiley & Sons. This book was released on 2019-04-15 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take a deep dive into deep learning Deep learning provides the means for discerning patterns in the data that drive online business and social media outlets. Deep Learning for Dummies gives you the information you need to take the mystery out of the topic—and all of the underlying technologies associated with it. In no time, you’ll make sense of those increasingly confusing algorithms, and find a simple and safe environment to experiment with deep learning. The book develops a sense of precisely what deep learning can do at a high level and then provides examples of the major deep learning application types. Includes sample code Provides real-world examples within the approachable text Offers hands-on activities to make learning easier Shows you how to use Deep Learning more effectively with the right tools This book is perfect for those who want to better understand the basis of the underlying technologies that we use each and every day.

Autonomous Vehicles Plus

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Author :
Publisher : FriesenPress
ISBN 13 : 1525539841
Total Pages : 267 pages
Book Rating : 4.5/5 (255 download)

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Book Synopsis Autonomous Vehicles Plus by : Chander Dhawan

Download or read book Autonomous Vehicles Plus written by Chander Dhawan and published by FriesenPress. This book was released on 2019-02-19 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: Autonomous Vehicles Plus: A Critical Analysis of Challenges Delaying AV Nirvana is a valuable compendium of information for autonomous vehicle (AV) industry professionals. The book offers a critical analysis of this emerging technology and business models through a holistic and multi-faceted discussion by a consultant who has done extensive research of underlying technologies. Among other things, Autonomous Vehicles Plus provides an independent and comprehensive viewpoint of the history and basic technology concepts of AVs, along with an explanation of their artificial intelligence underpinning, architectural framework, and key components. Here is all the minutiae on driverless cars, including the challenges facing the industry, predictions for their future, advice for entrepreneurs looking to capitalize on their emerging importance, and the roiling confusion that attends it all. Autonomous vehicle industry professionals and those seeking a broad understanding of the emerging technology will find much to distract and delight them in this serious book. Autonomous Vehicles Plus will be of special interest to technology and business development professionals who want to understand the fundamentals that determine technology adoption.

Dark Future

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Author :
Publisher : Simon and Schuster
ISBN 13 : 1637632118
Total Pages : 257 pages
Book Rating : 4.6/5 (376 download)

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Book Synopsis Dark Future by : Glenn Beck

Download or read book Dark Future written by Glenn Beck and published by Simon and Schuster. This book was released on 2023-07-11 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: "In Dark Future: Uncovering the Great Reset’s Terrifying Next Phase, New York Times bestselling authors Glenn Beck and Justin Haskins reveal the most important technologies and social and cultural changes that will soon cause an unprecedented level of disruption in the United States, as well as in countless other nations. They also outline the dangers and opportunities associated with these disruptions and provide a plan to protect individuals and families from losing their liberty." --Amazon.

Artificial Intelligence For Dummies

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119467624
Total Pages : 339 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Artificial Intelligence For Dummies by : John Paul Mueller

Download or read book Artificial Intelligence For Dummies written by John Paul Mueller and published by John Wiley & Sons. This book was released on 2018-03-16 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: Step into the future with AI The term "Artificial Intelligence" has been around since the 1950s, but a lot has changed since then. Today, AI is referenced in the news, books, movies, and TV shows, and the exact definition is often misinterpreted. Artificial Intelligence For Dummies provides a clear introduction to AI and how it’s being used today. Inside, you’ll get a clear overview of the technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field. Learn about what AI has contributed to society Explore uses for AI in computer applications Discover the limits of what AI can do Find out about the history of AI The world of AI is fascinating—and this hands-on guide makes it more accessible than ever!

SAT Reading & Writing Prep

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Author :
Publisher : Kaplan Publishing
ISBN 13 : 1506236820
Total Pages : 181 pages
Book Rating : 4.5/5 (62 download)

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Book Synopsis SAT Reading & Writing Prep by : Kaplan Test Prep

Download or read book SAT Reading & Writing Prep written by Kaplan Test Prep and published by Kaplan Publishing. This book was released on 2020-08-04 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prepare for the SAT with confidence! With more than 75 years of experience and more than 95% of our students getting into their top-choice schools, Kaplan knows how to increase your score and get you into your top-choice college. Prep Smarter. Not Harder. Kaplan’s SAT Reading and Writing Prep provides everything you need to master the challenging Evidence-Based Reading and Writing sections on the SAT. This focused guide provides concise review of how to effectively and efficiently read passages to answer questions correctly and ample practice, from drills to mixed practice sets, to help you raise your score. Kaplan’s SAT Reading and Writing Prep contains many features to help improve test scores, including: * 19 Comprehensive Evidence-Based Reading and Writing Practice Sets with detailed explanations * More than 150 practice questions with expert explanations * Methods and strategies to improve your Evidence-Based Reading and Writing score * Full Reading and Writing and Language practice test sections Kaplan provides the practice you need to improve your Evidence-Based Reading and Writing score—guaranteed. Kaplan’s SAT Reading and Writing Prep is the must-have preparation tool for every student looking to score higher and get into their top-choice college. Best used with Kaplan’s SAT Prep Plus for comprehensive SAT prep.

5G, Cybersecurity and Privacy in Developing Countries

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Author :
Publisher : CRC Press
ISBN 13 : 1000848043
Total Pages : 205 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis 5G, Cybersecurity and Privacy in Developing Countries by : Knud Erik Skouby

Download or read book 5G, Cybersecurity and Privacy in Developing Countries written by Knud Erik Skouby and published by CRC Press. This book was released on 2022-02-10 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: 5G, the emerging technology in mobile communication, is expected to deliver an important and decisive impact on several of the UN’s Sustainable Development Goals where universal accessibility to ICTs remains a serious concern. However, cyber security has emerged as a serious challenge, not least because of the increased accessibility and broader usage with associated vulnerability. Developing countries have additional challenges associated with both the expected faster build-up of accessibility and lack of qualified competencies within cyber security. Discussion of these challenges is the overall theme and motivation for this book. Technical topics discussed in the book include: 5G in rural networks Critical infrastructures Open RAN Protection of privacy Cybersecurity and machine learning Cybersecurity and disaster monitoring

The Driver in the Driverless Car

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Author :
Publisher : Berrett-Koehler Publishers
ISBN 13 : 1626569738
Total Pages : 205 pages
Book Rating : 4.6/5 (265 download)

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Book Synopsis The Driver in the Driverless Car by : Vivek Wadhwa

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.

Handbook of Power Electronics in Autonomous and Electric Vehicles

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Author :
Publisher : Elsevier
ISBN 13 : 0323950981
Total Pages : 370 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Handbook of Power Electronics in Autonomous and Electric Vehicles by : Muhammad H. Rashid

Download or read book Handbook of Power Electronics in Autonomous and Electric Vehicles written by Muhammad H. Rashid and published by Elsevier. This book was released on 2024-07-22 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Power Electronics in Autonomous and Electric Vehicles provides advanced knowledge on autonomous systems, electric propulsion in electric vehicles, radars and sensors for autonomous systems, and relevant aspects of energy storage and battery charging. The work is designed to provide clear technical presentation with a focus on commercial viability. It supports any and all aspects of a project requiring specialist design, analysis, installation, commissioning and maintenance services. With this book in hand, engineers will be able to execute design, analysis and evaluation of assigned projects using sound engineering principles and commercial requirements, policies, and product and program requirements. - Presents core power systems and engineering applications relevant to autonomous and electric vehicles in characteristic depth and technical presentation - Offers practical support and guidance with detailed examples and applications for laboratory vehicular test plans and automotive field experimentation - Includes modern technical coverage of emergent fields, including sensors and radars, battery charging and monitoring, and vehicle cybersecurity

Python for Data Science For Dummies

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119547628
Total Pages : 502 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Python for Data Science For Dummies by : John Paul Mueller

Download or read book Python for Data Science For Dummies written by John Paul Mueller and published by John Wiley & Sons. This book was released on 2019-02-27 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s—and named after Monty Python—that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. Get started with data science and Python Visualize information Wrangle data Learn from data The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.

No One at the Wheel

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Author :
Publisher : PublicAffairs
ISBN 13 : 1541724046
Total Pages : 266 pages
Book Rating : 4.5/5 (417 download)

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Book Synopsis No One at the Wheel by : Samuel I Schwartz

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.