Application Of Multi Sensor Fusion In Autonomous Vehicle Localization Under Sensor Anomalies
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Application Of Multi Sensor Fusion In Autonomous Vehicle Localization Under Sensor Anomalies
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Author :
language : en
Publisher:
Release Date : 2021
Application Of Multi Sensor Fusion In Autonomous Vehicle Localization Under Sensor Anomalies written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
Multi Sensor Fusion Based Vehicle Localization
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Author : Ge Guo
language : en
Publisher: SAE International
Release Date : 2024-10-21
Multi Sensor Fusion Based Vehicle Localization written by Ge Guo and has been published by SAE International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-21 with Technology & Engineering categories.
Multi-sensor fusion (MSF) is believed to be a promising tool for vehicular localization in urban environments. Due to the differences in principles and performance of various onboard vehicle sensors, MSF inevitably suffers from heterogeneous sources and vulnerability to cyber-attacks. Therefore, an essential requirement of MSF is the capability of providing a consumer-grade solution that operates in real-time, is accurate, and immune to abnormal conditions with guaranteed performance and quality of service for location-based applications. In other words, an MSF algorithm depends heavily on data synchronization, cost, an accurate process model, a prior knowledge of covariance matrices, integrity assessments, and security against cyber-attacks. Multi-sensor Fusion-based Vehicle Localization addresses trending technologies in MSF-based vehicle localization and outlines some insights into the unsettled issues and their potential solutions. The discussions and outlook are presented as a collection of key topics, including multi-sensor measurement data processing, sensory selection, filtering, integrity assessment, and cybersecurity. Click here to access the full SAE EDGETM Research Report portfolio. 9781468608854 9781468608861 https://doi.org/10.4271/EPR2024023
Ai Embedded Assurance For Cyber Systems
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Author : Cliff Wang
language : en
Publisher: Springer Nature
Release Date : 2023-12-12
Ai Embedded Assurance For Cyber Systems written by Cliff Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-12 with Computers categories.
The rapid growth and reliance on cyber systems have permeated our society, government, and military which is demonstrated in this book. The authors discuss how AI-powered cyber systems are designed to protect against cyber threats and ensure the security and reliability of digital systems using artificial intelligence (AI) technologies. As AI becomes more integrated into various aspects of our lives, the need for reliable and trustworthy AI systems becomes increasingly important. This book is an introduction to all of the above-mentioned areas in the context of AI Embedded Assurance for Cyber Systems. This book has three themes. First, the AI/ML for digital forensics theme focuses on developing AI and ML powered forensic tools, techniques, software, and hardware. Second, the AI/ML for cyber physical system theme describes that AI/ML plays an enabling role to boost the development of cyber physical systems (CPS), especially in strengthening the security and privacy ofCPS. Third, the AI/ML for cyber analysis theme focuses on using AI/ML to analyze tons of data in a timely manner and identify many complex threat patterns. This book is designed for undergraduates, graduate students in computer science and researchers in an interdisciplinary area of cyber forensics and AI embedded security applications. It is also useful for practitioners who would like to adopt AIs to solve cyber security problems.
Deep Learning And Its Applications For Vehicle Networks
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Author : Fei Hu
language : en
Publisher: CRC Press
Release Date : 2023-05-12
Deep Learning And Its Applications For Vehicle Networks written by Fei Hu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-12 with Computers categories.
Deep Learning (DL) is an effective approach for AI-based vehicular networks and can deliver a powerful set of tools for such vehicular network dynamics. In various domains of vehicular networks, DL can be used for learning-based channel estimation, traffic flow prediction, vehicle trajectory prediction, location-prediction-based scheduling and routing, intelligent network congestion control mechanism, smart load balancing and vertical handoff control, intelligent network security strategies, virtual smart and efficient resource allocation and intelligent distributed resource allocation methods. This book is based on the work from world-famous experts on the application of DL for vehicle networks. It consists of the following five parts: (I) DL for vehicle safety and security: This part covers the use of DL algorithms for vehicle safety or security. (II) DL for effective vehicle communications: Vehicle networks consist of vehicle-to-vehicle and vehicle-to-roadside communications. This part covers how Intelligent vehicle networks require a flexible selection of the best path across all vehicles, adaptive sending rate control based on bandwidth availability and timely data downloads from a roadside base-station. (III) DL for vehicle control: The myriad operations that require intelligent control for each individual vehicle are discussed in this part. This also includes emission control, which is based on the road traffic situation, the charging pile load is predicted through DL andvehicle speed adjustments based on the camera-captured image analysis. (IV) DL for information management: This part covers some intelligent information collection and understanding. We can use DL for energy-saving vehicle trajectory control based on the road traffic situation and given destination information; we can also natural language processing based on DL algorithm for automatic internet of things (IoT) search during driving. (V) Other applications. This part introduces the use of DL models for other vehicle controls. Autonomous vehicles are becoming more and more popular in society. The DL and its variants will play greater roles in cognitive vehicle communications and control. Other machine learning models such as deep reinforcement learning will also facilitate intelligent vehicle behavior understanding and adjustment. This book will become a valuable reference to your understanding of this critical field.
Advances In Multi Sensor Information Fusion Theory And Applications 2017
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Author : Xue-Bo Jin
language : en
Publisher: MDPI
Release Date : 2018-06-26
Advances In Multi Sensor Information Fusion Theory And Applications 2017 written by Xue-Bo Jin and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-26 with Technology & Engineering categories.
This book is a printed edition of the Special Issue "Advances in Multi-Sensor Information Fusion: Theory and Applications 2017" that was published in Sensors
Detection Of Intrusions And Malware And Vulnerability Assessment
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Author : Daniel Gruss
language : en
Publisher: Springer Nature
Release Date : 2023-06-09
Detection Of Intrusions And Malware And Vulnerability Assessment written by Daniel Gruss and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-09 with Computers categories.
This book constitutes the proceedings of the 20th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2023, held in Hamburg, Germany, in July 2023. The 12 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 43 submissions. The papers are organized in thematical sections named: Side Channels Attacks; Security and Machine Learning; Cyber Physical System Security; Security Issues when Dealing with Users; Analysis of Vulnerable Code; Flow Integrity and Security.
Information Security And Privacy
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Author : Tianqing Zhu
language : en
Publisher: Springer Nature
Release Date : 2024-07-14
Information Security And Privacy written by Tianqing Zhu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-14 with Computers categories.
This volume constitutes the refereed proceedings of the 29th Australasian Conference, ACISP 2024, held in Sydney, NSW, Australia, during July 15–17, 2024. The 70 full papers were carefully reviewed and selected from 232 submission. They are categorized in the following sections: Blockchain Technology, Privacy Enhancing Technologies, System Security, Network Security, AI Security.
Advances In Guidance Navigation And Control
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Author : Liang Yan
language : en
Publisher: Springer Nature
Release Date : 2025-03-07
Advances In Guidance Navigation And Control written by Liang Yan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-07 with Technology & Engineering categories.
This book features the latest theoretical results and techniques in the field of guidance, navigation, and control (GNC) of vehicles and aircrafts. It covers a wide range of topics, including but not limited to, intelligent computing communication and control; new methods of navigation, estimation, and tracking; control of multiple moving objects; manned and autonomous unmanned systems; guidance, navigation, and control of miniature aircraft; and sensor systems for guidance, navigation and control, etc. Presenting recent advances in the form of illustrations, tables, and text, it also provides detailed information of a number of the studies, to offer readers insights for their own research. In addition, the book addresses fundamental concepts and studies in the development of GNC, making it a valuable resource for both beginners and researchers wanting to further their understanding of guidance, navigation, and control.
Integrating Ai Techniques Into The Design And Development Of Smart Cyber Physical Systems
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Author : D. Jeya Mala
language : en
Publisher: CRC Press
Release Date : 2025-06-30
Integrating Ai Techniques Into The Design And Development Of Smart Cyber Physical Systems written by D. Jeya Mala and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 with Computers categories.
Building on the knowledge of risks, vulnerabilities, and safety measures associated with cyber-physical systems, this book focuses on adapting artificial intelligence (AI) techniques to smart cyber-physical systems application development. The future is going to see cyber-physical systems in almost every aspect of life, so a book that focuses on shedding light on the design, development, and security aspects of cyber-physical systems in more crucial domains such as defense, healthcare, biomedical, smart city applications, is needed. Integrating AI Techniques into the Design and Development of Smart Cyber-Physical Systems: Defense, Biomedical, Infrastructure, and Transportation offers an introductory exploration of the fundamental theories and concepts of AI and machine learning (ML) that are utilized in the building of dependable cyber-physical systems. It brings the ideas of advanced design and development and empowered security measures to cyber-physical systems. By focusing on the application of AI in cyber-physical systems design as well as security aspects, an improvement in reliability and advancements can be explored. Also included are the latest findings and advancements as well as case studies and illustrative examples on the design and development of smart cyber-physical systems. This resource is highly valuable for those employed in educational institutions, research laboratories, enterprises, and government agencies, as well as for students seeking novel ideas in the realm of smart cyber-physical systems design.
Fault Detection And Isolation
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Author : Nader Meskin
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-01-27
Fault Detection And Isolation written by Nader Meskin 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 2011-01-27 with Technology & Engineering categories.
“Fault Detection and Isolation: Multi-Vehicle Unmanned System” deals with the design and development of fault detection and isolation algorithms for unmanned vehicles such as spacecraft, aerial drones and other related vehicles. Addressing fault detection and isolation is a key step towards designing autonomous, fault-tolerant cooperative control of networks of unmanned systems. This book proposes a solution based on a geometric approach, and presents new theoretical findings for fault detection and isolation in Markovian jump systems. Also discussed are the effects of large environmental disturbances, as well as communication channels, on unmanned systems. The book proposes novel solutions to difficulties like robustness issues, as well as communication channel anomalies. “Fault Detection and Isolation: Multi-Vehicle Unmanned System” is an ideal book for researchers and engineers working in the fields of fault detection, as well as networks of unmanned vehicles.