Towards a Common Software/Hardware Methodology for Future Advanced Driver Assistance Systems
Towards a Common Software/Hardware Methodology for Future Advanced Driver Assistance Systems

Author: Guillermo Payá-Vayá

Publisher: CRC Press

Published: 2022-09-01

Total Pages: 310

ISBN-13: 1000793672

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The European research project DESERVE (DEvelopment platform for Safe and Efficient dRiVE, 2012-2015) had the aim of designing and developing a platform tool to cope with the continuously increasing complexity and the simultaneous need to reduce cost for future embedded Advanced Driver Assistance Systems (ADAS). For this purpose, the DESERVE platform profits from cross-domain software reuse, standardization of automotive software component interfaces, and easy but safety-compliant integration of heterogeneous modules. This enables the development of a new generation of ADAS applications, which challengingly combine different functions, sensors, actuators, hardware platforms, and Human Machine Interfaces (HMI). This book presents the different results of the DESERVE project concerning the ADAS development platform, test case functions, and validation and evaluation of different approaches. The reader is invited to substantiate the content of this book with the deliverables published during the DESERVE project. Technical topics discussed in this book include:Modern ADAS development platforms;Design space exploration;Driving modelling;Video-based and Radar-based ADAS functions;HMI for ADAS;Vehicle-hardware-in-the-loop validation systems

Big Data Analytics for Cyber-Physical Systems
Big Data Analytics for Cyber-Physical Systems

Author: Guido Dartmann

Publisher: Elsevier

Published: 2019-07-15

Total Pages: 396

ISBN-13: 0128166371

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Cyber-physical systems (CPS) and the Internet of Things (IoT) are rapidly developing technologies that are transforming our society. The disruptive transformation of the economy and society is expected due to the data collected by these systems, rather than the technological aspects of such as networks, embedded systems, and cloud technology. However, to create value out of the data, it must be transformed into information and therefore, expertise in data analytics and machine learning is the key component of future smart systems in cities and other applications. Big Data Analytics in Cyber-Physical Systems examines sensor signal processing, IoT gateways, optimization and decision making, intelligent mobility, and implementation of machine learning algorithms in embedded systems. This book focuses on the interaction between IoT technology and the mathematical tools to evaluate the extracted data of those systems. Each chapter provides different tools and applications in order to present a broad list of data analytics and machine learning tools in multiple IoT applications. Additionally, this volume addresses the education transfer needed to incorporate these technologies into our society by examining new platforms for IoT in schools, new courses and concepts for universities and adult education on IoT and data science. Fills the gap between IoT, CPS, and mathematical modeling Numerous use cases that discuss how concepts are applied in different domains and applications Provides "best practices," "real developments", and "winning stories" to complement technical information Uniquely covers contents within the context of mathematical foundations of signal processing and machine learning in CPS and IoT

15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020)
15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020)

Author: Álvaro Herrero

Publisher: Springer Nature

Published: 2020-08-28

Total Pages: 880

ISBN-13: 303057802X

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This book contains accepted papers presented at SOCO 2020 conference held in the beautiful and historic city of Burgos (Spain), in September 2020. Soft computing represents a collection or set of computational techniques in machine learning, computer science and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. After a through peer-review process, the SOCO 2020 International Program Committee selected 83 papers which are published in these conference proceedings and represents an acceptance rate of 35%. Due to the COVID-19 outbreak, the SOCO 2020 edition was blended, combining on-site and on-line participation. In this relevant edition a special emphasis was put on the organization of special sessions. Eleven special session were organized related to relevant topics such as: Soft Computing Applications in Precision Agriculture, Manufacturing and Management Systems, Management of Industrial and Environmental Enterprises, Logistics and Transportation Systems, Robotics and Autonomous Vehicles, Computer Vision, Laser-Based Sensing and Measurement and other topics such as Forecasting Industrial Time Series, IoT, Big Data and Cyber Physical Systems, Non-linear Dynamical Systems and Fluid Dynamics, Modeling and Control systems The selection of papers was extremely rigorous in order to maintain the high quality of SOCO conference editions and we would like to thank the members of the Program Committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference and the SOCO conference would not exist without their help.

Advanced Driver Assistance Systems and Autonomous Vehicles
Advanced Driver Assistance Systems and Autonomous Vehicles

Author: Yan Li

Publisher: Springer Nature

Published: 2022-10-28

Total Pages: 628

ISBN-13: 9811950539

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This book provides a comprehensive reference for both academia and industry on the fundamentals, technology details, and applications of Advanced Driver-Assistance Systems (ADAS) and autonomous driving, an emerging and rapidly growing area. The book written by experts covers the most recent research results and industry progress in the following areas: ADAS system design and test methodologies, advanced materials, modern automotive technologies, artificial intelligence, reliability concerns, and failure analysis in ADAS. Numerous images, tables, and didactic schematics are included throughout. This essential book equips readers with an in-depth understanding of all aspects of ADAS, providing insights into key areas for future research and development. • Provides comprehensive coverage of the state-of-the-art in ADAS • Covers advanced materials, deep learning, quality and reliability concerns, and fault isolation and failure analysis • Discusses ADAS system design and test methodologies, novel automotive technologies • Features contributions from both academic and industry authors, for a complete view of this important technology

Software-Hardware Integration in Automotive Product Development
Software-Hardware Integration in Automotive Product Development

Author: John Blyler

Publisher: SAE International

Published: 2013-11-07

Total Pages: 121

ISBN-13: 0768080789

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Software-Hardware Integration in Automotive Product Development brings together a must-read set of technical papers on one the most talked-about subjects among industry experts The carefully selected content of this book demonstrates how leading companies, universities, and organizations have developed methodologies, tools, and technologies to integrate, verify, and validate hardware and software systems. The automotive industry is no different, with the future of its product development lying in the timely integration of these chiefly electronic and mechanical systems. The integration activities cross both product type and engineering discipline boundaries to include chip-, embedded board-, and network/vehicle-level systems. Integration, verification, and validation of each of these three domains are examined in depth, attesting to the difficulties of this phase of the automotive hardware and software system life cycle. The current state of the art is to integrate, verify, validate, and test automotive hardware and software with a complement of physical hardware and virtual software prototyping tools. The growth of sophisticated software tools, sometimes combined with hardware-in-the-loop devices, has allowed the automotive industry to meet shrinking time-to-market, decreasing costs, and increasing safety demands. It is also why most of the papers in this book focus on virtual systems, prototypes, and models to emulate and simulate both hardware and software. Further, such tools and techniques are the way that hardware and software systems can be “co-verified” and tested in a concurrent fashion. The goal of this compilation of expert articles is to reveal the similarities and differences between the integration, verification, and validation (IVV) of hardware and software at the chip, board, and network levels. This comparative study will reveal the common IVV thread among the different, but ultimately related, implementations of hardware and software systems. In so doing, it supports the larger systems engineering approach for the vertically integrated automobile—namely, that of model-driven development.

Automotive Systems and Software Engineering
Automotive Systems and Software Engineering

Author: Yanja Dajsuren

Publisher: Springer

Published: 2019-07-17

Total Pages: 367

ISBN-13: 3030121577

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This book presents the state of the art, challenges and future trends in automotive software engineering. The amount of automotive software has grown from just a few lines of code in the 1970s to millions of lines in today’s cars. And this trend seems destined to continue in the years to come, considering all the innovations in electric/hybrid, autonomous, and connected cars. Yet there are also concerns related to onboard software, such as security, robustness, and trust. This book covers all essential aspects of the field. After a general introduction to the topic, it addresses automotive software development, automotive software reuse, E/E architectures and safety, C-ITS and security, and future trends. The specific topics discussed include requirements engineering for embedded software systems, tools and methods used in the automotive industry, software product lines, architectural frameworks, various related ISO standards, functional safety and safety cases, cooperative intelligent transportation systems, autonomous vehicles, and security and privacy issues. The intended audience includes researchers from academia who want to learn what the fundamental challenges are and how they are being tackled in the industry, and practitioners looking for cutting-edge academic findings. Although the book is not written as lecture notes, it can also be used in advanced master’s-level courses on software and system engineering. The book also includes a number of case studies that can be used for student projects.

Methodology for Advanced Driver Assistance Systems Evaluation
Methodology for Advanced Driver Assistance Systems Evaluation

Author: Corentin Mossoux

Publisher:

Published: 2017

Total Pages:

ISBN-13:

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This paper gives an insight to the state-of-the-art validation methods for Advanced Driver Assistance Systems and towards Autonomous Driving. Firstly, the current ADAS development cycle is analyzed and blocking points and challenges are identified. Secondly, a new innovative method for validation, i.e. model based validation, is examined and compared to the traditional testing method. Finally, a cruise controller is developed according to the ADAS development cycle, from specification to implementation, and tested on a real-time hardware.

Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)
Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS)

Author: John Ball

Publisher: MDPI

Published: 2019-10-01

Total Pages: 342

ISBN-13: 303921375X

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This book contains the latest research on machine learning and embedded computing in advanced driver assistance systems (ADAS). It encompasses research in detection, tracking, LiDAR and camera processing, ethics, and communications. Several new datasets are also provided for future research work. Researchers and others interested in these topics will find important advances contained in this book.

Hardware In-the-Loop
Hardware In-the-Loop

Author: Joan Labraña Sánchez

Publisher:

Published: 2019

Total Pages:

ISBN-13:

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The project is mainly aimed to fulfill two objectives. The first, gather and explain all the information related on the Advanced Driver-Assistance System (ADAS), its design and its validation. And the second one, is to develop a measurement data post-processing tool, which data is obtained due the performing of tests that are designed to validate the own ADAS mentioned before. In order to do this, a study of the ADASs' state of the art and their different validation methodologies is realized, detailing in depth the Autonomous Emergency Braking (AEB) ADAS' case, besides of a study of the future of these technologies. Once known what ADASs are, is possible to explain which are the necessary steps needed to verify and validate an ADAS system, from their requirements to their analysis, using an AEB system as example. This means the analysis and definition of the system's requirements and its subsequent tests matrix's definition, necessary to verify them. Then, is explained how the simulation results will be related to the requirements accomplishment, due the established traceability procedure. After the simulations, which will not be explained in detail here due to delays in the project, can be found the second main objective of this project, the post processing and analysis tasks. For the first one, a tool is developed in order to process the track test measurements data. This process consists on filter application, cuts, tolerance accomplishment checks, determination of events, calculus of metrics, and all the necessary actions aimed to enhance the posterior analysis. In the second task, the analysis, some postprocessed tests will be evaluated according to the specified assessment protocol, scenario and/or requirements that have to be accomplished. Finally a budget of the post processing tool will be elaborated, and will be determined which are the environmental costs related to the development of this project.

ADAS and Automated Driving
ADAS and Automated Driving

Author: Plato Pathrose

Publisher: SAE International

Published: 2024-03-01

Total Pages: 381

ISBN-13: 1468607456

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"Immerse yourself in the evolving world of automotive technology with ADAS and Automated Driving - Systems Engineering. Explore advanced driver assistance systems (ADAS) and automated driving, revealing the automotive industry’s technological revolution. As technology becomes a driving force, this book serves as a guide to understanding cutting-edge technologies deployed by leading vehicle manufacturers. Discover how multiple systems synergize to provide ADAS and automated driving functions. Authored by an industry expert, this book explores systems engineering’s crucial role in designing, safety-critical cyber-physical systems. Gain practical insights into the processes and methods adapted for the current technological era of software-defined vehicles, influenced by AI, digitalization, and rapid technological advances. Whether you're a seasoned engineer navigating the shift to software-defined vehicles or a student eager to grasp systems engineering methods, this book is your key to unlocking the skills demanded in the exciting era of digitalization. Immerse yourself in real-world examples drawn from industry experiences, bridging the gap between theory and practical application. Gain the knowledge and expertise needed to embark on projects involving the intricate world of cyber-physical systems with ADAS and Automated Driving - Systems Engineering. “As this book demonstrates, systems engineering is needed more than ever to navigate the complexities of the type of projects where alternative delivery models are applied and to help ensure effective delivery even within the constraints of aggressive and adaptable schedules.” Dr David Ward Global Head of Vehicle Resilience—Functional Safety HORIBA MIRA Limited “This book holistically explains the lifecycle and the processes for ADAS and autonomous systems and their influence on the overall vehicle over its complete lifecycle.” Matthias Schulze Vice President, ADAS Product, ecarx" (ISBN 9781468607444, ISBN 9781468607451, ISBN 9781468607468, DOI 10.4271/9781468607451)