Machine Learning And Embedded Computing In Advanced Driver Assistance Systems Adas

Author : John Ball
Publisher : MDPI
ISBN 13 : 303921375X
Total Pages : 342 pages
Book Rating : 4.57/5 ( download)

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Download or read book Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS) written by John Ball and published by MDPI. This book was released on 2019-10-01 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : John Ball
Publisher :
ISBN 13 : 9783039213764
Total Pages : 1 pages
Book Rating : 4.68/5 ( download)

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Download or read book Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS) written by John Ball and published by . This book was released on 2019 with total page 1 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Abdelaziz Bensrhair
Publisher : John Wiley & Sons
ISBN 13 : 1786307278
Total Pages : 290 pages
Book Rating : 4.79/5 ( download)

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Download or read book From AI to Autonomous and Connected Vehicles written by Abdelaziz Bensrhair and published by John Wiley & Sons. This book was released on 2021-09-22 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main topic of this book is the recent development of on-board advanced driver-assistance systems (ADAS), which we can already tell will eventually contribute to the autonomous and connected vehicles of tomorrow. With the development of automated mobility, it becomes necessary to design a series of modules which, from the data produced by on-board or remote information sources, will enable the construction of a completely automated driving system. These modules are perception, decision and action. State-of-the-art AI techniques and their potential applications in the field of autonomous vehicles are described. Perception systems, focusing on visual sensors, the decision module and the prototyping, testing and evaluation of ADAS systems are all presented for effective implementation on autonomous and connected vehicles. This book also addresses cooperative systems, such as pedestrian detection, as well as the legal issues in the use of autonomous vehicles in open environments.

Author : Holger Blume
Publisher : River Publishers
ISBN 13 : 8793519141
Total Pages : 312 pages
Book Rating : 4.45/5 ( download)

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Download or read book Towards a Common Software/Hardware Methodology for Future Advanced Driver Assistance Systems written by Holger Blume and published by River Publishers. This book was released on 2017-04-28 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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;DRIVER MODELLING;Video-based and Radar-based ADAS functions;HMI for ADAS;Vehicle-hardware-in-the-loop validation systems

Author : Lentin Joseph
Publisher : CRC Press
ISBN 13 : 1000483770
Total Pages : 540 pages
Book Rating : 4.72/5 ( download)

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Download or read book Autonomous Driving and Advanced Driver-Assistance Systems (ADAS) written by Lentin Joseph and published by CRC Press. This book was released on 2021-12-16 with total page 540 pages. Available in PDF, EPUB and Kindle. Book excerpt: Autonomous Driving and Advanced Driver-Assistance Systems (ADAS): Applications, Development, Legal Issues, and Testing outlines the latest research related to autonomous cars and advanced driver-assistance systems, including the development, testing, and verification for real-time situations of sensor fusion, sensor placement, control algorithms, and computer vision. Features: Co-edited by an experienced roboticist and author and an experienced academic Addresses the legal aspect of autonomous driving and ADAS Presents the application of ADAS in autonomous vehicle parking systems With an infinite number of real-time possibilities that need to be addressed, the methods and the examples included in this book are a valuable source of information for academic and industrial researchers, automotive companies, and suppliers.

Author : Farzin Ghorban
Publisher :
ISBN 13 : 9783832548742
Total Pages : 0 pages
Book Rating : 4.42/5 ( download)

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Download or read book Machine Learning in Advanced Driver-assistance Systems written by Farzin Ghorban and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the context of advanced driver-assistance systems (ADAS), vehicles are equipped with multiple sensors to record the vehicle's environment and use intelligent algorithms to understand the data. This study contributes to the research in modern ADAS on different aspects. Methods deployed in ADAS must be accurate and computationally efficient in order to run fast on embedded platforms. We introduce a novel approach for pedestrian detection that economizes on the computational cost of cascades. We demonstrate that (a) our two-stage cascade achieves a high accuracy while running in real time, and (b) our three-stage cascade ranks as the fourth best-performing method on one of the most challenging pedestrian datasets. The other challenge faced with ADAS is the scarcity of positive training data. We introduce a novel approach that enables AdaBoost detectors to benefit from a high number of negative samples. We demonstrate that our approach ranks as the second-best among its competitors on two challenging pedestrian datasets while being multiple times faster. Acquiring labeled training data is costly and time-consuming, particularly for traffic sign recognition. We investigate the use of synthetic data with the aspiration to reduce the human efforts behind the data preparation. We (a) algorithmically and architecturally adapt the adversarial modeling framework to the image data provided in ADAS, and (b) conduct various evaluations and discuss promising future research directions.

Author : Yan Li
Publisher : Springer Nature
ISBN 13 : 9811950539
Total Pages : 628 pages
Book Rating : 4.37/5 ( download)

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Download or read book Advanced Driver Assistance Systems and Autonomous Vehicles written by Yan Li and published by Springer Nature. This book was released on 2022-10-28 with total page 628 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Harald Waschl
Publisher : Springer
ISBN 13 : 331991569X
Total Pages : 235 pages
Book Rating : 4.92/5 ( download)

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Download or read book Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions written by Harald Waschl and published by Springer. This book was released on 2018-06-28 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes different methods that are relevant to the development and testing of control algorithms for advanced driver assistance systems (ADAS) and automated driving functions (ADF). These control algorithms need to respond safely, reliably and optimally in varying operating conditions. Also, vehicles have to comply with safety and emission legislation. The text describes how such control algorithms can be developed, tested and verified for use in real-world driving situations. Owing to the complex interaction of vehicles with the environment and different traffic participants, an almost infinite number of possible scenarios and situations that need to be considered may exist. The book explains new methods to address this complexity, with reference to human interaction modelling, various theoretical approaches to the definition of real-world scenarios, and with practically-oriented examples and contributions, to ensure efficient development and testing of ADAS and ADF. Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions is a collection of articles by international experts in the field representing theoretical and application-based points of view. As such, the methods and examples demonstrated in the book will be a valuable source of information for academic and industrial researchers, as well as for automotive companies and suppliers.

Author : Naercio Magaia
Publisher : Springer Nature
ISBN 13 : 3030764931
Total Pages : 511 pages
Book Rating : 4.37/5 ( download)

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Download or read book Intelligent Technologies for Internet of Vehicles written by Naercio Magaia and published by Springer Nature. This book was released on 2021-06-09 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers recent research works in emerging Artificial Intelligence (AI) methods for the convergence of communication, caching, control, and computing resources in cloud-based Internet of Vehicles (IoV) infrastructures. In this context, the book's major subjects cover the analysis and the development of AI-powered mechanisms in future IoV applications and architectures. It addresses the major new technological developments in the field and reflects current research trends and industry needs. It comprises a good balance between theoretical and practical issues, covering case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoV networks. It also provides technical/scientific information about various aspects of AI technologies, ranging from basic concepts to research-grade material, including future directions. This book is intended for researchers, practitioners, engineers, and scientists involved in designing and developing protocols and AI applications and services for IoV-related devices.

Author : Michael Huelsen
Publisher : Springer
ISBN 13 : 3658057505
Total Pages : 187 pages
Book Rating : 4.03/5 ( download)

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Download or read book Knowledge-Based Driver Assistance Systems written by Michael Huelsen and published by Springer. This book was released on 2014-04-23 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: The comprehension of a traffic situation plays a major role in driving a vehicle. Interpretable information forms a basis for future projection, decision making and action performing, such as navigating, maneuvering and driving control. Michael Huelsen provides an ontology-based generic traffic situation description capable of supplying various advanced driver assistance systems with relevant information about the current traffic situation of a vehicle and its environment. These systems are enabled to perform reasonable actions and approach visionary goals such as injury and accident free driving, substantial assistance in arbitrary situations up to even autonomous driving.