The Path To Safe Machine Learning For Automotive Applications
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The Path To Safe Machine Learning For Automotive Applications
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Author : Simon Burton
language : en
Publisher: SAE International
Release Date : 2023-10-26
The Path To Safe Machine Learning For Automotive Applications written by Simon Burton and has been published by SAE International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-10-26 with Technology & Engineering categories.
Recent rapid advancement in machine learning (ML) technologies have unlocked the potential for realizing advanced vehicle functions that were previously not feasible using traditional approaches to software development. One prominent example is the area of automated driving. However, there is much discussion regarding whether ML-based vehicle functions can be engineered to be acceptably safe, with concerns related to the inherent difficulty and ambiguity of the tasks to which the technology is applied. This leads to challenges in defining adequately safe responses for all possible situations and an acceptable level of residual risk, which is then compounded by the reliance on training data. The Path to Safe Machine Learning for Automotive Applications discusses the challenges involved in the application of ML to safety-critical vehicle functions and provides a set of recommendations within the context of current and upcoming safety standards. In summary, the potential of ML will only be unlocked for safety-related functions if the inevitable uncertainties associated with both the specification and performance of the trained models can be sufficiently well understood and controlled within the application-specific context. Click here to access the full SAE EDGETM Research Report portfolio. https://doi.org/10.4271/EPR2023023
Navigating The Evolving Landscape Of Safety Standards For Machine Learning Based Road Vehicle Functions
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Author : Simon Burton
language : en
Publisher: SAE International
Release Date : 2024-08-26
Navigating The Evolving Landscape Of Safety Standards For Machine Learning Based Road Vehicle Functions written by Simon Burton and has been published by SAE International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-26 with Technology & Engineering categories.
ML approaches to solving some of the key perception and decision challenges in automated vehicle functions are maturing at an incredible rate. However, the setbacks experienced during initial attempts at widespread deployment have highlighted the need for a careful consideration of safety during the development and deployment of these functions. To better control the risk associated with this storm of complex functionality, open operating environments, and cutting-edge technology, there is a need for industry consensus on best practices for achieving an acceptable level of safety. Navigating the Evolving Landscape of Safety Standards for Machine Learning-based Road Vehicle Functions provides an overview of standards relevant to the safety of ML-based vehicle functions and serves as guidance for technology providers—including those new to the automotive sector—on how to interpret the evolving standardization landscape. The report also contains practical guidance, along with an example from the perspective of a developer of an ML-based perception function on how to interpret the requirements of these standards. Click here to access the full SAE EDGETM Research Report portfolio. https://doi.org/10.4271/EPR2024017
Computational Intelligence In Automotive Applications
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Author : Danil Prokhorov
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-05-30
Computational Intelligence In Automotive Applications written by Danil Prokhorov and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-05-30 with Computers categories.
This edited volume is the first of its kind and provides a representative sample of contemporary computational intelligence (CI) activities in the area of automotive technology. All chapters contain overviews of the state-of-the-art.
Proceedings Of Fifth International Congress On Information And Communication Technology
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Author : Xin-She Yang
language : en
Publisher: Springer Nature
Release Date : 2020-10-21
Proceedings Of Fifth International Congress On Information And Communication Technology written by Xin-She Yang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-21 with Technology & Engineering categories.
This book gathers selected high-quality research papers presented at the Fifth International Congress on Information and Communication Technology, held at Brunel University, London, on February 20–21, 2020. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies.
16th International Symposium On Advanced Vehicle Control
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Author : Giampiero Mastinu
language : en
Publisher: Springer Nature
Release Date : 2024-10-03
16th International Symposium On Advanced Vehicle Control written by Giampiero Mastinu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-03 with Transportation categories.
This open access book highlights the latest advances, innovations, and applications in the field of vehicle systems dynamics and control, as presented by leading international researchers at the 16th JSAE International Symposium on Advanced Vehicle Control (AVEC), held at Politecnico di Milano, Milan, Italy, on September 2-6, 2024. It covers a diverse range of topics such as vehicle dynamics theory, steering, brake, tire, suspension, chassis control, powertrain, electrified vehicles, stability enhancement systems, driver-vehicle systems, advanced driver assistance systems and automated driving systems, driving simulator dynamics and control. The contributions, which were selected by means of a rigorous international peer-review process, present a wealth of exciting ideas that will open novel research directions and foster multidisciplinary collaboration among different specialists.
Machine Learning Applications
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Author : Kai Turing
language : en
Publisher: Publifye AS
Release Date : 2025-02-18
Machine Learning Applications written by Kai Turing and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-18 with Computers categories.
Machine Learning Applications explores the transformative impact of machine learning across healthcare, finance, and transportation. Moving beyond theory, it highlights real-world applications of algorithms in these vital sectors. For instance, machine learning powers diagnostics in healthcare, enabling image recognition for disease detection, and enhances algorithmic trading in finance, automating investment strategies. The book examines how machine learning, a subset of artificial intelligence, automates complex tasks and derives insights from vast datasets. It begins with fundamental principles, progresses through case studies in each sector, and concludes with ethical considerations and future trends. One intriguing insight is its role in predictive maintenance within transportation, anticipating equipment failures. This book stands out by bridging the gap between theoretical knowledge and practical uses, making it valuable for professionals and students alike. By focusing on tangible implementations and real-world examples, Machine Learning Applications empowers readers to apply these techniques effectively.
Advanced Microsystems For Automotive Applications 2018
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Author : Jörg Dubbert
language : en
Publisher: Springer
Release Date : 2018-08-17
Advanced Microsystems For Automotive Applications 2018 written by Jörg Dubbert and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-17 with Technology & Engineering categories.
This volume of the Lecture Notes in Mobility series contains papers written by speakers at the 22nd International Forum on Advanced Microsystems for Automotive Applications (AMAA 2018) "Smart Systems for Clean, Safe and Shared Road Vehicles" that was held in Berlin, Germany in September 2018. The authors report about recent breakthroughs in electric and electronic components and systems, driver assistance, vehicle automation and electrification as well as data, clouds and machine learning. Furthermore, innovation aspects and impacts of connected and automated driving are covered. The target audience primarily comprises research experts and practitioners in industry and academia, but the book may also be beneficial for graduate students alike.
Explainable Artificial Intelligence For Autonomous Vehicles
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Author : Kamal Malik
language : en
Publisher: CRC Press
Release Date : 2024-08-14
Explainable Artificial Intelligence For Autonomous Vehicles written by Kamal Malik and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-14 with Computers categories.
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 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.
Real Time Applications Of Machine Learning In Cyber Physical Systems
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Author : Easwaran, Balamurugan
language : en
Publisher: IGI Global
Release Date : 2022-03-11
Real Time Applications Of Machine Learning In Cyber Physical Systems written by Easwaran, Balamurugan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-11 with Computers categories.
Technological advancements of recent decades have reshaped the way people socialize, work, learn, and ultimately live. The use of cyber-physical systems (CPS) specifically have helped people lead their lives with greater control and freedom. CPS domains have great societal significance, providing crucial assistance in industries ranging from security to healthcare. At the same time, machine learning (ML) algorithms are known for being substantially efficient, high performing, and have become a real standard due to greater accessibility, and now more than ever, multidisciplinary applications of ML for CPS have become a necessity to help uncover constructive solutions for real-world problems. Real-Time Applications of Machine Learning in Cyber-Physical Systems provides a relevant theoretical framework and the most recent empirical findings on various real-time applications of machine learning in cyber-physical systems. Covering topics like intrusion detection systems, predictive maintenance, and seizure prediction, this book is an essential resource for researchers, machine learning professionals, independent researchers, scholars, scientists, libraries, and academicians.
Applications Of Machine Learning And Deep Learning For Privacy And Cybersecurity
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Author : Lobo, Victor
language : en
Publisher: IGI Global
Release Date : 2022-06-24
Applications Of Machine Learning And Deep Learning For Privacy And Cybersecurity written by Lobo, Victor and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-24 with Computers categories.
The growth of innovative cyber threats, many based on metamorphosing techniques, has led to security breaches and the exposure of critical information in sites that were thought to be impenetrable. The consequences of these hacking actions were, inevitably, privacy violation, data corruption, or information leaking. Machine learning and data mining techniques have significant applications in the domains of privacy protection and cybersecurity, including intrusion detection, authentication, and website defacement detection, that can help to combat these breaches. Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity provides machine and deep learning methods for analysis and characterization of events regarding privacy and anomaly detection as well as for establishing predictive models for cyber attacks or privacy violations. It provides case studies of the use of these techniques and discusses the expected future developments on privacy and cybersecurity applications. Covering topics such as behavior-based authentication, machine learning attacks, and privacy preservation, this book is a crucial resource for IT specialists, computer engineers, industry professionals, privacy specialists, security professionals, consultants, researchers, academicians, and students and educators of higher education.