Multi Sensor Fusion For Autonomous Driving
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Multi Sensor Fusion For Autonomous Driving
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Author : Xinyu Zhang
language : en
Publisher: Springer Nature
Release Date : 2023-08-28
Multi Sensor Fusion For Autonomous Driving written by Xinyu Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-28 with Technology & Engineering categories.
Although sensor fusion is an essential prerequisite for autonomous driving, it entails a number of challenges and potential risks. For example, the commonly used deep fusion networks are lacking in interpretability and robustness. To address these fundamental issues, this book introduces the mechanism of deep fusion models from the perspective of uncertainty and models the initial risks in order to create a robust fusion architecture. This book reviews the multi-sensor data fusion methods applied in autonomous driving, and the main body is divided into three parts: Basic, Method, and Advance. Starting from the mechanism of data fusion, it comprehensively reviews the development of automatic perception technology and data fusion technology, and gives a comprehensive overview of various perception tasks based on multimodal data fusion. The book then proposes a series of innovative algorithms for various autonomous driving perception tasks, to effectively improve the accuracy and robustness of autonomous driving-related tasks, and provide ideas for solving the challenges in multi-sensor fusion methods. Furthermore, to transition from technical research to intelligent connected collaboration applications, it proposes a series of exploratory contents such as practical fusion datasets, vehicle-road collaboration, and fusion mechanisms. In contrast to the existing literature on data fusion and autonomous driving, this book focuses more on the deep fusion method for perception-related tasks, emphasizes the theoretical explanation of the fusion method, and fully considers the relevant scenarios in engineering practice. Helping readers acquire an in-depth understanding of fusion methods and theories in autonomous driving, it can be used as a textbook for graduate students and scholars in related fields or as a reference guide for engineers who wish to apply deep fusion methods.
Sensor Fusion For 3d Object Detection For Autonomous Vehicles
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Author : Yahya Massoud
language : en
Publisher:
Release Date : 2021
Sensor Fusion For 3d Object Detection For Autonomous Vehicles written by Yahya Massoud 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.
Thanks to the major advancements in hardware and computational power, sensor technology, and artificial intelligence, the race for fully autonomous driving systems is heating up. With a countless number of challenging conditions and driving scenarios, researchers are tackling the most challenging problems in driverless cars. One of the most critical components is the perception module, which enables an autonomous vehicle to "see" and "understand" its surrounding environment. Given that modern vehicles can have large number of sensors and available data streams, this thesis presents a deep learning-based framework that leverages multimodal data - i.e. sensor fusion, to perform the task of 3D object detection and localization. We provide an extensive review of the advancements of deep learning-based methods in computer vision, specifically in 2D and 3D object detection tasks. We also study the progress of the literature in both single-sensor and multi-sensor data fusion techniques. Furthermore, we present an in-depth explanation of our proposed approach that performs sensor fusion using input streams from LiDAR and Camera sensors, aiming to simultaneously perform 2D, 3D, and Bird's Eye View detection. Our experiments highlight the importance of learnable data fusion mechanisms and multi-task learning, the impact of different CNN design decisions, speed-accuracy tradeoffs, and ways to deal with overfitting in multi-sensor data fusion frameworks.
Automated Driving
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Author : Daniel Watzenig
language : en
Publisher: Springer
Release Date : 2016-09-23
Automated Driving written by Daniel Watzenig and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-23 with Technology & Engineering categories.
The main topics of this book include advanced control, cognitive data processing, high performance computing, functional safety, and comprehensive validation. These topics are seen as technological bricks to drive forward automated driving. The current state of the art of automated vehicle research, development and innovation is given. The book also addresses industry-driven roadmaps for major new technology advances as well as collaborative European initiatives supporting the evolvement of automated driving. Various examples highlight the state of development of automated driving as well as the way forward. The book will be of interest to academics and researchers within engineering, graduate students, automotive engineers at OEMs and suppliers, ICT and software engineers, managers, and other decision-makers.
Digital Signal Processing For In Vehicle Systems And Safety
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Author : John H.L. Hansen
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-02-02
Digital Signal Processing For In Vehicle Systems And Safety written by John H.L. Hansen 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 2012-02-02 with Technology & Engineering categories.
Compiled from papers of the 4th Biennial Workshop on DSP (Digital Signal Processing) for In-Vehicle Systems and Safety this edited collection features world-class experts from diverse fields focusing on integrating smart in-vehicle systems with human factors to enhance safety in automobiles. Digital Signal Processing for In-Vehicle Systems and Safety presents new approaches on how to reduce driver inattention and prevent road accidents. The material addresses DSP technologies in adaptive automobiles, in-vehicle dialogue systems, human machine interfaces, video and audio processing, and in-vehicle speech systems. The volume also features recent advances in Smart-Car technology, coverage of autonomous vehicles that drive themselves, and information on multi-sensor fusion for driver ID and robust driver monitoring. Digital Signal Processing for In-Vehicle Systems and Safety is useful for engineering researchers, students, automotive manufacturers, government foundations and engineers working in the areas of control engineering, signal processing, audio-video processing, bio-mechanics, human factors and transportation engineering.
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.
Application Of Multi Sensor Fusion For Cascade Landmark Recognition And Vehicle Localization For Autonomous Driving
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Author : 王昱翔
language : en
Publisher:
Release Date : 2020
Application Of Multi Sensor Fusion For Cascade Landmark Recognition And Vehicle Localization For Autonomous Driving written by 王昱翔 and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Autonomous And Connected Heavy Vehicle Technology
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Author : Rajalakshmi Krishnamurthi
language : en
Publisher: Elsevier
Release Date : 2022-01-24
Autonomous And Connected Heavy Vehicle Technology written by Rajalakshmi Krishnamurthi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-24 with Technology & Engineering categories.
Autonomous and Connected Heavy Vehicle Technology presents the fundamentals, definitions, technologies, standards and future developments of autonomous and connected heavy vehicles. This book provides insights into various issues pertaining to heavy vehicle technology and helps users develop solutions towards autonomous, connected, cognitive solutions through the convergence of Big Data, IoT, cloud computing and cognition analysis. Various physical, cyber-physical and computational key points related to connected vehicles are covered, along with concepts such as edge computing, dynamic resource optimization, engineering process, methodology and future directions. The book also contains a wide range of case studies that help to identify research problems and an analysis of the issues and synthesis solutions. This essential resource for graduate-level students from different engineering disciplines such as automotive and mechanical engineering, computer science, data science and business analytics combines both basic concepts and advanced level content from technical experts. Covers state-of-the-art developments and research in vehicle sensor technology, vehicle communication technology, convergence with emerging technologies, and vehicle software and hardware integration Addresses challenges such as optimization, real-time control systems for distance and steering mechanism, and cognitive and predictive analysis Provides complete product development, commercial deployment, technological and performing costs and scaling needs
Theories And Practices Of Self Driving Vehicles
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Author : Qingguo Zhou
language : en
Publisher: Elsevier
Release Date : 2022-07-03
Theories And Practices Of Self Driving Vehicles written by Qingguo Zhou and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-03 with Technology & Engineering categories.
Self-driving vehicles are a rapidly growing area of research and expertise. Theories and Practice of Self-Driving Vehicles presents a comprehensive introduction to the technology of self driving vehicles across the three domains of perception, planning and control. The title systematically introduces vehicle systems from principles to practice, including basic knowledge of ROS programming, machine and deep learning, as well as basic modules such as environmental perception and sensor fusion. The book introduces advanced control algorithms as well as important areas of new research. This title offers engineers, technicians and students an accessible handbook to the entire stack of technology in a self-driving vehicle. Theories and Practice of Self-Driving Vehicles presents an introduction to self-driving vehicle technology from principles to practice. Ten chapters cover the full stack of driverless technology for a self-driving vehicle. Written by two authors experienced in both industry and research, this book offers an accessible and systematic introduction to self-driving vehicle technology. - Provides a comprehensive introduction to the technology stack of a self-driving vehicle - Covers the three domains of perception, planning and control - Offers foundational theory and best practices - Introduces advanced control algorithms and high-potential areas of new research - Gives engineers, technicians and students an accessible handbook to self-driving vehicle technology and applications
The Proceedings Of The International Conference On Electrical Systems Automation
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Author : Mohamed Bendaoud
language : en
Publisher: Springer Nature
Release Date : 2022-03-30
The Proceedings Of The International Conference On Electrical Systems Automation written by Mohamed Bendaoud and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-30 with Technology & Engineering categories.
This book which is the second part of two volumes on ''Control of Electrical and Electronic Systems” presents a compilation of selected contributions to the 1st International Conference on Electrical Systems & Automation. The book provides rigorous discussions, the state of the art, and recent developments in the modelling, simulation and control of power electronics, industrial systems, and embedded systems. The book will be a valuable reference for beginners, researchers, and professionals interested in control of electrical and electronic systems.
Autonomous Vehicles And Systems
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Author : Ishwar K. Sethi
language : en
Publisher: CRC Press
Release Date : 2024-02-06
Autonomous Vehicles And Systems written by Ishwar K. Sethi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-06 with Technology & Engineering categories.
This book captures multidisciplinary research encompassing various facets of autonomous vehicle systems (AVS) research and developments. The AVS field is rapidly moving towards realization with numerous advances continually reported. The contributions to this field come from widely varying branches of knowledge, making it a truly multidisciplinary area of research and development. The topics covered in the book include: AI and deep learning for AVS Autonomous steering through deep neural networks Adversarial attacks and defenses on autonomous vehicles Gesture recognition for vehicle control Multi-sensor fusion in autonomous vehicles Teleoperation technologies for AVS Simulation and game theoretic decision making for AVS Path following control system design for AVS Hybrid cloud and edge solutions for AVS Ethics of AVS