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This book is the first technical overview of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences of creating autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions about its actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, we are able to test new algorithms and update the HD map—plus, train better recognition, tracking, and decision models. This book consists of nine chapters. Chapter 1 provides an overview of autonomous vehicle systems; Chapter 2 focuses on localization technologies; Chapter 3 discusses traditional techniques used for perception; Chapter 4 discusses deep learning based techniques for perception; Chapter 5 introduces the planning and control sub-system, especially prediction and routing technologies; Chapter 6 focuses on motion planning and feedback control of the planning and control subsystem; Chapter 7 introduces reinforcement learning-based planning and control; Chapter 8 delves into the details of client systems design; and Chapter 9 provides the details of cloud platforms for autonomous driving. This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find plenty of references for an effective, deeper exploration of the various technologies.

In "Humanity in the Age of How to Thrive in a Post-Human World," readers embark on a profound journey into the future of artificial intelligence (AI) and its intricate relationship with human evolution. This book navigates the complex landscape where technology and humanity converge, offering a visionary exploration of how AI is reshaping our world and the way we exist within it. The book delves into a wide array of themes, from the ethical implications of AI to the transformation of the global job market, healthcare, and even personal relationships. It presents a future where AI not only enhances efficiency but also challenges the very essence of what it means to be human. Key features: An in-depth analysis of the potential future scenarios in an AI-centric world, exploring both the opportunities and challenges that lie ahead.Insightful discussions on the intersection of AI with critical areas of human life, including education, healthcare, governance, and the environment. An exploration of the ethical, philosophical, and practical implications of living alongside advanced AI systems.Strategies and guidance on adapting to a world where AI plays a central role in every aspect of human existence. Contributions from leading thinkers, experts, and visionaries in the field of AI and human evolution.This book is not just a theoretical exploration but also a practical guide, offering readers strategies to navigate and thrive in a world increasingly dominated by AI. It challenges readers to consider the broader implications of these advancements on our way of life, our planet, and our future. Ideal for enthusiasts of technology, AI, futurism, and anyone curious about the future of human society, "Humanity in the Age of AI" serves as a crucial roadmap for understanding and preparing for a world where AI reshapes our existence. Join the journey to explore the possibilities, challenges, and profound changes that AI brings to the very fabric of human life.Book Review Review: "Humanity in the Age of How to Thrive in a Post-Human World" is a groundbreaking exploration of the future we are rapidly heading towards – a future deeply intertwined with artificial intelligence. This book is a masterful blend of insightful analysis, futuristic speculation, and practical advice, making it a must-read for anyone interested in the trajectory of our technologically infused future. The author delves into a wide array of thought-provoking themes, such as the ethical dilemmas posed by AI, the transformation of job markets, and the evolving nature of human relationships in the age of AI. The book stands out for its balanced approach, offering both optimistic views of AI’s potential to solve some of our greatest challenges and cautious tales of the risks and ethical quandaries we face as AI becomes more ingrained in our lives. One of the book's strengths is its ability to make complex AI concepts accessible to a broad audience. Whether you're a tech expert or a curious novice, the author's clear and engaging writing style makes it easy to understand and appreciate the nuances of AI and its impact on various aspects of human existence. The futuristic scenarios painted in the book are both fascinating and plausible, grounded in current AI advancements. These scenarios not only serve as a window into what the future might hold but also as a catalyst for readers to think about how we can prepare for and shape this future. Moreover, the book doesn't shy away from the tough questions.

This book addresses many applications of artificial intelligence in robotics, namely AI using visual and motional input. Robotic technology has made significant contributions to daily living, industrial uses, and medicinal applications. Machine learning, in particular, is critical for intelligent robots or unmanned/autonomous systems such as UAVs, UGVs, UUVs, cooperative robots, and so on. Humans are distinguished from animals by capacities such as receiving visual information, adjusting to uncertain circumstances, and making decisions to take action in a complex system. Significant progress has been made in robotics toward human-like intelligence; yet, there are still numerous unresolved issues. Deep learning, reinforcement learning, real-time learning, swarm intelligence, and other developing approaches such as tiny-ML have been developed in recent decades and used in robotics. Artificial intelligence is being integrated into robots in order to develop advanced robotics capable of performing multiple tasks and learning new things with a better perception of the environment, allowing robots to perform critical tasks with human-like vision to detect or recognize various objects. Intelligent robots have been successfully constructed using machine learning and deep learning AI technology. Robotics performance is improving as higher quality, and more precise machine learning processes are used to train computer vision models to recognize different things and carry out operations correctly with the desired outcome. We believe that the increasing demands and challenges offered by real-world robotic applications encourage academic research in both artificial intelligence and robotics. The goal of this book is to bring together scientists, specialists, and engineers from around the world to present and share their most recent research findings and new ideas on artificial intelligence in robotics.

The central motive of the International Conference is to throw up a number of new ideas and solutions to address the present-day challenges in the fields of 1: Science, Technology, Engineering and Mathematics. 2: Economics / Accounts. 3: Architecture and Design, Business, Divinity, Education, Engineering, Environmental Studies and Forestry, Family and Consumer Science, Health Sciences ,Human Physical Performance and Recreation, Journalism, Media Studies and Communication ,Law ,Library and Museum Studies ,Military Sciences ,Public Administration ,Social Work ,Transportation, Fine arts, Agricultural education, Management ,Social sciences , Physics, Chemistry, Business and commerce. 4: Health oriented education, Medical, Pharmacy, Dentel, Ayurveda, and Yoga. 5: English, Regional Language(s), Maths, Science, Social Sciences, Physical Education Computer Basics, Arts (Drawing) 6: History, Languages and linguistics, Literature, Performing arts, Philosophy, Religion and Religious studies, Visual arts. 7: Anthropology, Archaeology, Area Studies, Cultural and Ethnic Studies, Economics Gender and Sexuality Studies, Geography, Political Science, Psychology, Sociology. 8: Chemistry, Earth Sciences, Life Sciences, Physics, Space Sciences. 9: Computer Sciences, Logic, Mathematics, Statistics, Systems Science. The scope of the conference is broad and covers many aspects of international research prospective. This conference aims to provide a scholarly platform for participants to publish their research in reputed International Journals. The authors have incredible opportunity to present/5- Minute Video their research virtually and present findings worldwide that will not only help them gain the necessary exposure that they need to make their research work known in global scientific circles but also open the door to incredible opportunities for collaboration and conducting further research.

This book introduces the theories and methods of Nature-Inspired Robotics in artificial intelligence. Software and hardware technologies, alongside theories and methods, illustrate the application of bio-inspired artificial intelligence. It includes discussions on topics such as Robot Control Manipulators, Geometric Transformation, Robotic Drive Systems and Nature Inspired Robotic Neural System. Elaborating upon recent progress made in five distinct configurations of nature-inspired computing, it explores the potential applications of this technology in two specific areas: neuromorphic computing systems and neuromorphic perceptual systems. · Discusses advances in cutting-edge technology in brain-inspired computing, perception technologies and aspects of neuromorphic electronics · Offers a thorough introduction to two-terminal neuromorphic memristors, including memristive devices and resistive switching mechanisms · Provides comprehensive explorations of spintronic neuromorphic devices and multi-terminal neuromorphic devices with cognitive behaviours · Includes cognitive behaviour of Inspired Robotics and cognitive technologies with applications in Artificial Intelligence · Contains practical discussions of neuromorphic devices based on chalcogenide and organic materials. This text acts as a reference book for students, scholars, and industry professionals.