Artificial Intelligence For Autonomous Vehicles

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Artificial Intelligence for Autonomous Vehicles

Sathiyaraj Rajendran,Munish Sabharwal,Yu-Chen Hu,Rajesh Kumar Dhanaraj,Balamurugan Balusamy
Artificial Intelligence for Autonomous Vehicles Book PDF

Author : Sathiyaraj Rajendran,Munish Sabharwal,Yu-Chen Hu,Rajesh Kumar Dhanaraj,Balamurugan Balusamy
Publisher : John Wiley & Sons
Page : 208 pages
File Size : 42,7 Mb
Release : 2024-02-27
Category : Computers
ISBN : 9781119847632

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Artificial Intelligence for Autonomous Vehicles by Sathiyaraj Rajendran,Munish Sabharwal,Yu-Chen Hu,Rajesh Kumar Dhanaraj,Balamurugan Balusamy Pdf

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.

Autonomous Vehicles

George Dimitrakopoulos,Aggelos Tsakanikas,Elias Panagiotopoulos
Autonomous Vehicles Book PDF

Author : George Dimitrakopoulos,Aggelos Tsakanikas,Elias Panagiotopoulos
Publisher : Elsevier
Page : 202 pages
File Size : 51,8 Mb
Release : 2021-04-15
Category : Transportation
ISBN : 9780323901383

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Autonomous Vehicles by George Dimitrakopoulos,Aggelos Tsakanikas,Elias Panagiotopoulos Pdf

Autonomous Vehicles: Technologies, Regulations, and Societal Impacts explores both the autonomous driving concepts and the key hardware and software enablers, Artificial intelligence tools, needed infrastructure, communication protocols, and interaction with non-autonomous vehicles. It analyses the impacts of autonomous driving using a scenario-based approach to quantify the effects on the overall economy and affected sectors. The book assess from a qualitative and quantitative approach, the future of autonomous driving, and the main drivers, challenges, and barriers. The book investigates whether individuals are ready to use advanced automated driving vehicles technology, and to what extent we as a society are prepared to accept highly automated vehicles on the road. Building on the technologies, opportunities, strengths, threats, and weaknesses, Autonomous Vehicles: Technologies, Regulations, and Societal Impacts discusses the needed frameworks for automated vehicles to move inside and around cities. The book concludes with a discussion on what in applications comes next, outlining the future research needs. Broad, interdisciplinary and systematic coverage of the key issues in autonomous driving and vehicles Examines technological impact on society, governance, and the economy as a whole Includes foundational topical coverage, case studies, objectives, and glossary

Autonomous Vehicles, Volume 1

Romil Rawat,A. Mary Sowjanya,Syed Imran Patel,Varshali Jaiswal,Imran Khan,Allam Balaram
Autonomous Vehicles Volume 1 Book PDF

Author : Romil Rawat,A. Mary Sowjanya,Syed Imran Patel,Varshali Jaiswal,Imran Khan,Allam Balaram
Publisher : John Wiley & Sons
Page : 324 pages
File Size : 47,5 Mb
Release : 2022-11-30
Category : Technology & Engineering
ISBN : 9781119871965

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Autonomous Vehicles, Volume 1 by Romil Rawat,A. Mary Sowjanya,Syed Imran Patel,Varshali Jaiswal,Imran Khan,Allam Balaram Pdf

AUTONOMOUS VEHICLES Addressing the current challenges, approaches and applications relating to autonomous vehicles, this groundbreaking new volume presents the research and techniques in this growing area, using Internet of Things (IoT), Machine Learning (ML), Deep Learning, and Artificial Intelligence (AI). This book provides and addresses the current challenges, approaches, and applications relating to autonomous vehicles, using Internet of Things (IoT), machine learning, deep learning, and Artificial Intelligence (AI) techniques. Several self-driving or autonomous (“driverless”) cars, trucks, and drones incorporate a variety of IoT devices and sensing technologies such as sensors, gyroscopes, cloud computing, and fog layer, allowing the vehicles to sense, process, and maintain massive amounts of data on traffic, routes, suitable times to travel, potholes, sharp turns, and robots for pipe inspection in the construction and mining industries. Few books are available on the practical applications of unmanned aerial vehicles (UAVs) and autonomous vehicles from a multidisciplinary approach. Further, the available books only cover a few applications and designs in a very limited scope. This new, groundbreaking volume covers real-life applications, business modeling, issues, and solutions that the engineer or industry professional faces every day that can be transformed using intelligent systems design of autonomous systems. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.

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

Lance Eliot
Advances in AI and Autonomous Vehicles Cybernetic Self Driving Cars Book PDF

Author : Lance Eliot
Publisher : Lbe Press Publishing
Page : 250 pages
File Size : 47,8 Mb
Release : 2017-07
Category : Electronic
ISBN : 0692915176

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Advances in AI and Autonomous Vehicles: Cybernetic Self-Driving Cars by Lance Eliot Pdf

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.

Autonomous Vehicles and the Law

Hannah YeeFen Lim
Autonomous Vehicles and the Law Book PDF

Author : Hannah YeeFen Lim
Publisher : Edward Elgar Publishing
Page : 160 pages
File Size : 43,5 Mb
Release : 2024-06-02
Category : Electronic
ISBN : 9781788115117

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Autonomous Vehicles and the Law by Hannah YeeFen Lim Pdf

Autonomous vehicles have attracted a great deal of attention in the media, however there are some inconsistencies between the perception of autonomous vehicles’ capabilities and their actual functions. This book provides an accessible explanation of how autonomous vehicles function, suggesting appropriate regulatory responses to the existing and emerging technology.

Autonomous Vehicle Driverless Self-Driving Cars and Artificial Intelligence

Lance B. Eliot,Michael Eliot
Autonomous Vehicle Driverless Self Driving Cars and Artificial Intelligence Book PDF

Author : Lance B. Eliot,Michael Eliot
Publisher : Lbe Press Publishing
Page : 252 pages
File Size : 55,8 Mb
Release : 2017-12-29
Category : Artificial intelligence
ISBN : 0692051023

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Autonomous Vehicle Driverless Self-Driving Cars and Artificial Intelligence by Lance B. Eliot,Michael Eliot Pdf

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.

Explainable Artificial Intelligence for Autonomous Vehicles

Kamal Malik,Moolchand Sharma,Suman Deswal,Umesh Gupta,Deevyankar Agarwal,Yahya Obaid Bakheet Al Shamsi
Explainable Artificial Intelligence for Autonomous Vehicles Book PDF

Author : Kamal Malik,Moolchand Sharma,Suman Deswal,Umesh Gupta,Deevyankar Agarwal,Yahya Obaid Bakheet Al Shamsi
Publisher : Unknown
Page : 0 pages
File Size : 50,8 Mb
Release : 2024-08-14
Category : Computers
ISBN : 1032655011

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Explainable Artificial Intelligence for Autonomous Vehicles by Kamal Malik,Moolchand Sharma,Suman Deswal,Umesh Gupta,Deevyankar Agarwal,Yahya Obaid Bakheet Al Shamsi Pdf

Explainable AI for Autonomous Vehicles: Concepts, Challenges, and Applications is a comprehensive guide to developing and applying explainable artificial intelligence (XAI) in the context of autonomous vehicles. It begins with an introduction to XAI and its importance in developing autonomous vehicles. It also provides an overview of the challenges and limitations of traditional black-box AI models and how XAI can help address these challenges by providing transparency and interpretability in the decision-making process of autonomous vehicles. The book then covers the state-of-the-art techniques and methods for XAI in autonomous vehicles, including model-agnostic approaches, post-hoc explanations, and local and global interpretability techniques. It also discusses the challenges and applications of XAI in autonomous vehicles, such as enhancing safety and reliability, improving user trust and acceptance, and enhancing overall system performance. Ethical and social considerations are also addressed in the book, such as the impact of XAI on user privacy and autonomy and the potential for bias and discrimination in XAI-based systems. Furthermore, the book provides insights into future directions and emerging trends in XAI for autonomous vehicles, such as integrating XAI with other advanced technologies like machine learning and blockchain and the potential for XAI to enable new applications and services in the autonomous vehicle industry. Overall, the book aims to provide a comprehensive understanding of XAI and its applications in autonomous vehicles to help readers develop effective XAI solutions that can enhance autonomous vehicle systems' safety, reliability, and performance while improving user trust and acceptance. This book: Discusses authentication mechanisms for camera access, encryption protocols for data protection, and access control measures for camera systems. Showcases the challenges such as integration with existing systems, privacy, and security concerns while implementing explainable artificial intelligence in autonomous vehicles. Covers explainable artificial intelligence for resource management, optimization, adaptive control, and decision-making. Explains important topics such as vehicle-to-vehicle (V2V) communication, vehicle-to-infrastructure (V2I) communication, remote monitoring, and control. Emphasizes enhancing safety, reliability, overall system performance, and improving user trust in autonomous vehicles. The book is intended to provide researchers, engineers, and practitioners with a comprehensive understanding of XAI's key concepts, challenges, and applications in the context of autonomous vehicles. It is primarily written for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science and engineering, information technology, and automotive engineering.

Autonomous Vehicles

A. Mary Sowjanya,Syed Imran Patel,Varshali Jaiswal,Imran Khan,Allam Balaram
Autonomous Vehicles Book PDF

Author : A. Mary Sowjanya,Syed Imran Patel,Varshali Jaiswal,Imran Khan,Allam Balaram
Publisher : John Wiley & Sons
Page : 324 pages
File Size : 51,9 Mb
Release : 2023-01-05
Category : Technology & Engineering
ISBN : 9781119871958

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Autonomous Vehicles by A. Mary Sowjanya,Syed Imran Patel,Varshali Jaiswal,Imran Khan,Allam Balaram Pdf

AUTONOMOUS VEHICLES Addressing the current challenges, approaches and applications relating to autonomous vehicles, this groundbreaking new volume presents the research and techniques in this growing area, using Internet of Things (IoT), Machine Learning (ML), Deep Learning, and Artificial Intelligence (AI). This book provides and addresses the current challenges, approaches, and applications relating to autonomous vehicles, using Internet of Things (IoT), machine learning, deep learning, and Artificial Intelligence (AI) techniques. Several self-driving or autonomous (“driverless”) cars, trucks, and drones incorporate a variety of IoT devices and sensing technologies such as sensors, gyroscopes, cloud computing, and fog layer, allowing the vehicles to sense, process, and maintain massive amounts of data on traffic, routes, suitable times to travel, potholes, sharp turns, and robots for pipe inspection in the construction and mining industries. Few books are available on the practical applications of unmanned aerial vehicles (UAVs) and autonomous vehicles from a multidisciplinary approach. Further, the available books only cover a few applications and designs in a very limited scope. This new, groundbreaking volume covers real-life applications, business modeling, issues, and solutions that the engineer or industry professional faces every day that can be transformed using intelligent systems design of autonomous systems. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.

Smart Transportation

Guido Dartmann,Anke Schmeink,Volker Lücken,Houbing Song,Martina Ziefle,Giovanni Prestiflippo
Smart Transportation Book PDF

Author : Guido Dartmann,Anke Schmeink,Volker Lücken,Houbing Song,Martina Ziefle,Giovanni Prestiflippo
Publisher : CRC Press
Page : 224 pages
File Size : 51,6 Mb
Release : 2021-11-10
Category : Technology & Engineering
ISBN : 9781000405651

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Smart Transportation by Guido Dartmann,Anke Schmeink,Volker Lücken,Houbing Song,Martina Ziefle,Giovanni Prestiflippo Pdf

The book provides a broad overview of the challenges and recent developments in the field of smart mobility and transportation, including technical, algorithmic and social aspects of smart mobility and transportation. It reviews new ideas for services and platforms for future mobility. New concepts of artificial intelligence and the implementation in new hardware architecture are discussed. In the context of artificial intelligence, new challenges of machine learning for autonomous vehicles and fleets are investigated. The book also investigates human factors and social questions of future mobility concepts. The goal of this book is to provide a holistic approach towards smart transportation. The book reviews new technologies such as the cloud, machine learning and communication for fully atomatized transport, catering to the needs of citizens. This will lead to complete change of concepts in transportion.

Smart Vehicles for Communication, Volume 2

Romil Rawat,Purvee Bhardwaj,Upinder Kaur,Shrikant Telang,Mukesh Chouhan,K. Sakthidasan Sankaran
Smart Vehicles for Communication Volume 2 Book PDF

Author : Romil Rawat,Purvee Bhardwaj,Upinder Kaur,Shrikant Telang,Mukesh Chouhan,K. Sakthidasan Sankaran
Publisher : John Wiley & Sons
Page : 356 pages
File Size : 55,7 Mb
Release : 2023-01-05
Category : Technology & Engineering
ISBN : 9781394152254

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Smart Vehicles for Communication, Volume 2 by Romil Rawat,Purvee Bhardwaj,Upinder Kaur,Shrikant Telang,Mukesh Chouhan,K. Sakthidasan Sankaran Pdf

AUTONOMOUS VEHICLES The companion to Autonomous Vehicles Volume 1: Using Machine Intelligence, this second volume in the two-volume set covers intelligent techniques utilized for designing, controlling, and managing vehicular systems based on advanced algorithms of computing like machine learning, artificial intelligence, data analytics, and Internet of Things (IoT) with prediction approaches to avoid accidental damages, security threats, and theft. Besides communicating with other vehicles, self-driving cars connected to a 5G network will also be able to communicate with different infrastructure elements that make up our roads and other transportation and communication systems. Similarly, an unmanned aerial vehicle (UAV), an aircraft without any human pilot, crew, or passengers on board, can operate under remote control by a human operator, as a remotely-piloted aircraft (RPA), or with various degrees of autonomy. These include autopilot assistance and fully autonomous aircraft that have no provision for human intervention. Transportation is a necessary, but often painful process. With fully autonomous driving, passengers will be freed to accomplish their own goals, turning the dead hours of driving into fruitful hours of learning, working, engaging, and relaxing. Similarly, UAVs can perform functions that human-operated aircraft cannot, whether because of the environment or high-risk situations. The purpose of the book is to present the needs, designs, and applications of autonomous vehicles. The topics covered range from mechanical engineering to computer science engineering, both areas playing vital roles in programming, managing, generating alerts, and GPS position, artificial intelligence-based prediction of path and events, as well as other high-tech tools, are covered in this book, as well. Whether for the student, veteran engineer, or another industry professional, this book, and its companion volume, are must-haves for any library.

New Advances in AI Autonomous Driverless Self-Driving Cars

Lance Eliot
New Advances in AI Autonomous Driverless Self Driving Cars Book PDF

Author : Lance Eliot
Publisher : Lbe Press Publishing
Page : 258 pages
File Size : 41,9 Mb
Release : 2017-12-22
Category : Electronic
ISBN : 0692048359

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New Advances in AI Autonomous Driverless Self-Driving Cars by Lance Eliot Pdf

Top expert Dr. Lance B. Eliot provides the latest new insights about AI Autonomous Vehicles (AV) that are emerging as driverless self-driving cars and are progressively appearing on our roadways and byways. Vital issues he addresses include present and future technological advances, societal readiness, business aspects, economic considerations, and other ramifications about how this disruptive innovation will transform the world. Referred to as the "AI Insider" and currently serving as the Executive Director of the Cybernetic Self-Driving Car Institute for Techbrium Inc., he provides a no-holds-barred analysis of how Artificial Intelligence and Machine Learning are both a strength and a potential weakness in the effort toward developing true SAE Level 5 self-driving cars.

Deep Learning for Autonomous Vehicle Control

Sampo Kuutti,Saber Fallah,Richard Bowden,Phil Barber
Deep Learning for Autonomous Vehicle Control Book PDF

Author : Sampo Kuutti,Saber Fallah,Richard Bowden,Phil Barber
Publisher : Springer Nature
Page : 70 pages
File Size : 51,6 Mb
Release : 2022-06-01
Category : Technology & Engineering
ISBN : 9783031015021

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Deep Learning for Autonomous Vehicle Control by Sampo Kuutti,Saber Fallah,Richard Bowden,Phil Barber Pdf

The next generation of autonomous vehicles will provide major improvements in traffic flow, fuel efficiency, and vehicle safety. Several challenges currently prevent the deployment of autonomous vehicles, one aspect of which is robust and adaptable vehicle control. Designing a controller for autonomous vehicles capable of providing adequate performance in all driving scenarios is challenging due to the highly complex environment and inability to test the system in the wide variety of scenarios which it may encounter after deployment. However, deep learning methods have shown great promise in not only providing excellent performance for complex and non-linear control problems, but also in generalizing previously learned rules to new scenarios. For these reasons, the use of deep neural networks for vehicle control has gained significant interest. In this book, we introduce relevant deep learning techniques, discuss recent algorithms applied to autonomous vehicle control, identify strengths and limitations of available methods, discuss research challenges in the field, and provide insights into the future trends in this rapidly evolving field.

AI for Cars

Josep Aulinas,Hanky Sjafrie
AI for Cars Book PDF

Author : Josep Aulinas,Hanky Sjafrie
Publisher : CRC Press
Page : 128 pages
File Size : 45,7 Mb
Release : 2021-07-28
Category : Computers
ISBN : 9781000417166

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AI for Cars by Josep Aulinas,Hanky Sjafrie Pdf

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.

Introduction to Self-Driving Vehicle Technology

Hanky Sjafrie
Introduction to Self Driving Vehicle Technology Book PDF

Author : Hanky Sjafrie
Publisher : CRC Press
Page : 182 pages
File Size : 49,8 Mb
Release : 2019-11-21
Category : Computers
ISBN : 9781000712070

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Introduction to Self-Driving Vehicle Technology by Hanky Sjafrie Pdf

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.

Driverless

Hod Lipson,Melba Kurman
Driverless Book PDF

Author : Hod Lipson,Melba Kurman
Publisher : MIT Press
Page : 323 pages
File Size : 50,9 Mb
Release : 2017-09-15
Category : Transportation
ISBN : 9780262534475

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Driverless by Hod Lipson,Melba Kurman Pdf

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.”