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Human Like Decision Making And Control For Autonomous Driving


Human Like Decision Making And Control For Autonomous Driving
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Human Like Decision Making And Control For Autonomous Driving


Human Like Decision Making And Control For Autonomous Driving
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Author : Peng Hang
language : en
Publisher: CRC Press
Release Date : 2022-07-25

Human Like Decision Making And Control For Autonomous Driving written by Peng Hang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-25 with Mathematics categories.


This book details cutting-edge research into human-like driving technology, utilising game theory to better suit a human and machine hybrid driving environment. Covering feature identification and modelling of human driving behaviours, the book explains how to design an algorithm for decision making and control of autonomous vehicles in complex scenarios. Beginning with a review of current research in the field, the book uses this as a springboard from which to present a new theory of human-like driving framework for autonomous vehicles. Chapters cover system models of decision making and control, driving safety, riding comfort and travel efficiency. Throughout the book, game theory is applied to human-like decision making, enabling the autonomous vehicle and the human driver interaction to be modelled using noncooperative game theory approach. It also uses game theory to model collaborative decision making between connected autonomous vehicles. This framework enables human-like decision making and control of autonomous vehicles, which leads to safer and more efficient driving in complicated traffic scenarios. The book will be of interest to students and professionals alike, in the field of automotive engineering, computer engineering and control engineering.



Human Like Decision Making And Control For Automated Driving


Human Like Decision Making And Control For Automated Driving
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Author : Chen Lv
language : en
Publisher: SAE International
Release Date : 2022-03-11

Human Like Decision Making And Control For Automated Driving written by Chen Lv and has been published by SAE International this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-11 with Technology & Engineering categories.


The on-vehicle automation system is primarily designed to replace the human driver during driving to enhance the performance and avoid possible fatalities. However, current implementations in automated vehicles (AVs) generally neglect that human imperfection and preference do not always lead to negative consequences, which prevents achieving optimized vehicle performance and maximized road safety. Human-like Decision-making and Control for Automated Driving takes a step forward to address breaking through the limitation of future automation applications, investigating in depth: Human driving feature modeling and analysis Personalized motion control for AVs Human-like decision making for AVs Click here to access the full SAE EDGETM Research Report portfolio. https://doi.org/10.4271/EPR2022005



Inventive Systems And Control


Inventive Systems And Control
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Author : V. Suma
language : en
Publisher: Springer Nature
Release Date : 2021-06-07

Inventive Systems And Control written by V. Suma and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-07 with Technology & Engineering categories.


This book presents selected papers from the 5th International Conference on Inventive Systems and Control (ICISC 2021), held on 7–8 January 2021 at JCT College of Engineering and Technology, Coimbatore, India. The book includes an analysis of the class of intelligent systems and control techniques that utilises various artificial intelligence technologies, where there are no mathematical models and systems available to make them remain controlled. Inspired by various existing intelligent techniques, the primary goal is to present the emerging innovative models to tackle the challenges faced by the existing computing and communication technologies. The proceedings of ICISC 2021 aim at presenting the state-of-the-art research developments, trends, and solutions for the challenges faced by the intelligent systems and control community with the real-world applications. The included research articles feature the novel and unpublished research works on intelligent system representation and control.



Introduction To Self Driving Vehicle Technology


Introduction To Self Driving Vehicle Technology
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Author : Hanky Sjafrie
language : en
Publisher: CRC Press
Release Date : 2019-11-21

Introduction To Self Driving Vehicle Technology written by Hanky Sjafrie and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-21 with Computers categories.


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.



Advanced Driver Intention Inference


Advanced Driver Intention Inference
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Author : Yang Xing
language : en
Publisher: Elsevier
Release Date : 2020-03-15

Advanced Driver Intention Inference written by Yang Xing and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-15 with Technology & Engineering categories.


Advanced Driver Intention Inference: Theory and Design describes one of the most important function for future ADAS, namely, the driver intention inference. The book contains the state-of-art knowledge on the construction of driver intention inference system, providing a better understanding on how the human driver intention mechanism will contribute to a more naturalistic on-board decision system for automated vehicles. - Features examples of using machine learning/deep learning to build industry products - Depicts future trends for driver behavior detection and driver intention inference - Discuss traffic context perception techniques that predict driver intentions such as Lidar and GPS



Autonomous Vehicles


Autonomous Vehicles
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Author : George Dimitrakopoulos
language : en
Publisher: Elsevier
Release Date : 2021-04-15

Autonomous Vehicles written by George Dimitrakopoulos and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-15 with Transportation categories.


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



The Ethics Of Ai Decision Making When Algorithms Take Control


The Ethics Of Ai Decision Making When Algorithms Take Control
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Author : Ahmed Musa
language : en
Publisher: Recorded Books
Release Date : 2024-12-29

The Ethics Of Ai Decision Making When Algorithms Take Control written by Ahmed Musa and has been published by Recorded Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-29 with Computers categories.


The Ethics of AI Decision-Making: When Algorithms Take Control is a thought-provoking dive into the complex and often contentious world of artificial intelligence, exploring the profound ethical dilemmas that arise when machines are tasked with making decisions that affect human lives. As AI becomes increasingly integrated into systems governing everything from healthcare and justice to finance and transportation, this book raises critical questions about accountability, fairness, and the very nature of autonomy. At its heart, this book is an inquiry into trust—trust in the data that feeds algorithms, the processes that guide their decisions, and the outcomes that shape our reality. Through real-world examples and riveting case studies, it examines instances where AI has succeeded, failed, and sparked controversy. Whether it’s autonomous vehicles navigating moral trade-offs, AI judges assessing criminal sentencing, or algorithms determining creditworthiness, the implications are far-reaching and often unsettling. The narrative weaves together perspectives from technology, philosophy, law, and sociology to paint a comprehensive picture of the challenges and opportunities posed by AI decision-making. It delves into topics such as bias in machine learning, the transparency of black-box algorithms, and the risks of over-reliance on systems that may lack human empathy or ethical reasoning. But The Ethics of AI Decision-Making isn’t just about identifying problems—it’s about exploring solutions. It highlights the pioneering efforts of researchers, ethicists, and policymakers working to establish guidelines for responsible AI. From designing explainable AI systems to creating frameworks for ethical oversight, the book offers insights into how we can navigate this uncharted territory while preserving human dignity and fairness. Written for a broad audience—including technologists, policymakers, business leaders, and everyday users—this book provides a balanced perspective that avoids sensationalism and focuses on constructive dialogue. It challenges readers to grapple with the moral questions of our time: How do we ensure AI systems are fair and accountable? Who is responsible when things go wrong? And how can we strike a balance between innovation and ethical integrity? The Ethics of AI Decision-Making: When Algorithms Take Control is both a cautionary tale and a roadmap for creating a future where AI enhances, rather than undermines, our shared humanity. It’s an essential read for anyone who cares about the intersection of technology, ethics, and the human experience.



Computational Intelligence Techniques For 5g Enabled Iot Networks


Computational Intelligence Techniques For 5g Enabled Iot Networks
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Author : Mohit Kumar
language : en
Publisher: Springer Nature
Release Date : 2025-07-26

Computational Intelligence Techniques For 5g Enabled Iot Networks written by Mohit Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-26 with Computers categories.


This book explores emerging interdisciplinary themes and applications reflecting advancements in Computational Intelligence (CI) for IoT and 5G networks. It is divided into four sections: Section 1 introduces Computational Intelligence and Sustainability Solutions for Next-Gen IoT Networks. Section 2 covers Optimization and Resilience Strategies for 5G-Enabled IoT Networks. Section 3 delves Intelligent Resource Allocation and Service Optimization in 5G IoT Networks. Section 4 presents Case studies on Applied Computational Intelligence and 5G IoT Innovations for Industry 4.0. This comprehensive work is essential for researchers and professionals interested in leveraging CI, IoT, and 5G technologies across diverse applications.



Hci In Mobility Transport And Automotive Systems


Hci In Mobility Transport And Automotive Systems
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Author : Heidi Krömker
language : en
Publisher: Springer Nature
Release Date : 2022-06-16

Hci In Mobility Transport And Automotive Systems written by Heidi Krömker and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-16 with Computers categories.


This book constitutes the refereed proceedings of the 4th International Conference on HCI in Mobility, Transport, and Automotive Systems, MobiTAS 2022, held as part of the 23rd International Conference, HCI International 2022, which was held virtually in June/July 2022. The total of 1271 papers and 275 posters included in the HCII 2022 proceedings was carefully reviewed and selected from 5487 submissions. The MobiTAS 2022 proceedings were organized in the following topical sections: Designing Interactions in the Mobility, Transport, and Automotive Context; Human-Centered Design of Automotive Systems; Driver Information and Assistance Systems; Studies on Automated Driving; and Micro-mobility and Urban Mobility.



Intelligent Transportation Related Complex Systems And Sensors


Intelligent Transportation Related Complex Systems And Sensors
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Author : Kyandoghere Kyamakya
language : en
Publisher: MDPI
Release Date : 2021-09-01

Intelligent Transportation Related Complex Systems And Sensors written by Kyandoghere Kyamakya and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Technology & Engineering categories.


Building around innovative services related to different modes of transport and traffic management, intelligent transport systems (ITS) are being widely adopted worldwide to improve the efficiency and safety of the transportation system. They enable users to be better informed and make safer, more coordinated, and smarter decisions on the use of transport networks. Current ITSs are complex systems, made up of several components/sub-systems characterized by time-dependent interactions among themselves. Some examples of these transportation-related complex systems include: road traffic sensors, autonomous/automated cars, smart cities, smart sensors, virtual sensors, traffic control systems, smart roads, logistics systems, smart mobility systems, and many others that are emerging from niche areas. The efficient operation of these complex systems requires: i) efficient solutions to the issues of sensors/actuators used to capture and control the physical parameters of these systems, as well as the quality of data collected from these systems; ii) tackling complexities using simulations and analytical modelling techniques; and iii) applying optimization techniques to improve the performance of these systems.