Machine Learning In Advanced Driver Assistance Systems

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Autonomous Driving and Advanced Driver-Assistance Systems (ADAS)

Author : Lentin Joseph
Publisher : CRC Press
ISBN 13 : 1000483770
Total Pages : 540 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Autonomous Driving and Advanced Driver-Assistance Systems (ADAS) by : Lentin Joseph

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 2021-12-15 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.

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 : 4.0/5 (392 download)

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Book Synopsis Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS) by : John Ball

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.

Computer Vision for Driver Assistance

Author : Mahdi Rezaei
Publisher : Springer
ISBN 13 : 3319505513
Total Pages : 236 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Computer Vision for Driver Assistance by : Mahdi Rezaei

Download or read book Computer Vision for Driver Assistance written by Mahdi Rezaei and published by Springer. This book was released on 2017-02-06 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book summarises the state of the art in computer vision-based driver and road monitoring, focussing on monocular vision technology in particular, with the aim to address challenges of driver assistance and autonomous driving systems. While the systems designed for the assistance of drivers of on-road vehicles are currently converging to the design of autonomous vehicles, the research presented here focuses on scenarios where a driver is still assumed to pay attention to the traffic while operating a partially automated vehicle. Proposing various computer vision algorithms, techniques and methodologies, the authors also provide a general review of computer vision technologies that are relevant for driver assistance and fully autonomous vehicles. Computer Vision for Driver Assistance is the first book of its kind and will appeal to undergraduate and graduate students, researchers, engineers and those generally interested in computer vision-related topics in modern vehicle design.

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

Author : Guillermo Payá-Vayá
Publisher : CRC Press
ISBN 13 : 1000793672
Total Pages : 310 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Towards a Common Software/Hardware Methodology for Future Advanced Driver Assistance Systems by : Guillermo Payá-Vayá

Download or read book Towards a Common Software/Hardware Methodology for Future Advanced Driver Assistance Systems written by Guillermo Payá-Vayá and published by CRC Press. This book was released on 2022-09-01 with total page 310 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;Driving modelling;Video-based and Radar-based ADAS functions;HMI for ADAS;Vehicle-hardware-in-the-loop validation systems

Proceedings of Fifth International Congress on Information and Communication Technology

Author : Xin-She Yang
Publisher : Springer Nature
ISBN 13 : 9811558566
Total Pages : 666 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Proceedings of Fifth International Congress on Information and Communication Technology by : Xin-She Yang

Download or read book Proceedings of Fifth International Congress on Information and Communication Technology written by Xin-She Yang and published by Springer Nature. This book was released on 2020-10-21 with total page 666 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected high-quality research papers presented at the Fifth International Congress on Information and Communication Technology, held at Brunel University, London, on February 20–21, 2020. It discusses emerging topics pertaining to information and communication technology (ICT) for managerial applications, e-governance, e-agriculture, e-education and computing technologies, the Internet of Things (IoT) and e-mining. Written by respected experts and researchers working on ICT, the book offers a valuable asset for young researchers involved in advanced studies.

Machine Learning in Advanced Driver-assistance Systems

Author : Farzin Ghorban
Publisher :
ISBN 13 : 9783832548742
Total Pages : 0 pages
Book Rating : 4.5/5 (487 download)

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Book Synopsis Machine Learning in Advanced Driver-assistance Systems by : Farzin Ghorban

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.

Advanced Driver Assistance Systems and Autonomous Vehicles

Author : Yan Li
Publisher : Springer Nature
ISBN 13 : 9811950539
Total Pages : 628 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Advanced Driver Assistance Systems and Autonomous Vehicles by : Yan Li

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

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

Author : John Ball
Publisher :
ISBN 13 : 9783039213764
Total Pages : 1 pages
Book Rating : 4.2/5 (137 download)

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Book Synopsis Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS) by : John Ball

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.

Handbook of Driver Assistance Systems

Author : Hermann Winner
Publisher : Springer
ISBN 13 : 9783319123516
Total Pages : 0 pages
Book Rating : 4.1/5 (235 download)

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Book Synopsis Handbook of Driver Assistance Systems by : Hermann Winner

Download or read book Handbook of Driver Assistance Systems written by Hermann Winner and published by Springer. This book was released on 2015-10-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This fundamental work explains in detail systems for active safety and driver assistance, considering both their structure and their function. These include the well-known standard systems such as Anti-lock braking system (ABS), Electronic Stability Control (ESC) or Adaptive Cruise Control (ACC). But it includes also new systems for protecting collisions protection, for changing the lane, or for convenient parking. The book aims at giving a complete picture focusing on the entire system. First, it describes the components which are necessary for assistance systems, such as sensors, actuators, mechatronic subsystems, and control elements. Then, it explains key features for the user-friendly design of human-machine interfaces between driver and assistance system. Finally, important characteristic features of driver assistance systems for particular vehicles are presented: Systems for commercial vehicles and motorcycles.

2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR)

Author : IEEE Staff
Publisher :
ISBN 13 : 9781728173818
Total Pages : pages
Book Rating : 4.1/5 (738 download)

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Book Synopsis 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR) by : IEEE Staff

Download or read book 2021 25th International Conference on Methods and Models in Automation and Robotics (MMAR) written by IEEE Staff and published by . This book was released on 2021-08-23 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: New theoretical and technological developments in predictive control, robust and adaptive control, networked control systems, fuzzy logic, neural networks and intelligent control, modelling and identification, discrete events and hybrid systems, fault detection, diagnosis, fault tolerant control, computer aided control systems design, mathematical foundations of robotics, motion planning and algorithms, human robot interaction

AI for Cars

Author : Josep Aulinas
Publisher : CRC Press
ISBN 13 : 1000417166
Total Pages : 129 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis AI for Cars by : Josep Aulinas

Download or read book AI for Cars written by Josep Aulinas and published by CRC Press. This book was released on 2021-07-28 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) is undoubtedly playing an increasingly significant role in automobile technology. In fact, cars inhabit one of just a few domains where you will find many AI innovations packed into a single product. AI for Cars provides a brief guided tour through many different AI landscapes including robotics, image and speech processing, recommender systems and onto deep learning, all within the automobile world. From pedestrian detection to driver monitoring to recommendation engines, the book discusses the background, research and progress thousands of talented engineers and researchers have achieved thus far, and their plans to deploy this life-saving technology all over the world.

Innovative Data Communication Technologies and Application

Author : Jennifer S. Raj
Publisher : Springer Nature
ISBN 13 : 3030380408
Total Pages : 852 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Innovative Data Communication Technologies and Application by : Jennifer S. Raj

Download or read book Innovative Data Communication Technologies and Application written by Jennifer S. Raj and published by Springer Nature. This book was released on 2020-01-30 with total page 852 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents emerging concepts in data mining, big data analysis, communication, and networking technologies, and discusses the state-of-the-art in data engineering practices to tackle massive data distributions in smart networked environments. It also provides insights into potential data distribution challenges in ubiquitous data-driven networks, highlighting research on the theoretical and systematic framework for analyzing, testing and designing intelligent data analysis models for evolving communication frameworks. Further, the book showcases the latest developments in wireless sensor networks, cloud computing, mobile network, autonomous systems, cryptography, automation, and other communication and networking technologies. In addition, it addresses data security, privacy and trust, wireless networks, data classification, data prediction, performance analysis, data validation and verification models, machine learning, sentiment analysis, and various data analysis techniques.

Introduction to Self-Driving Vehicle Technology

Author : Hanky Sjafrie
Publisher : CRC Press
ISBN 13 : 1000711773
Total Pages : 255 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Introduction to Self-Driving Vehicle Technology by : Hanky Sjafrie

Download or read book Introduction to Self-Driving Vehicle Technology written by Hanky Sjafrie and published by CRC Press. This book was released on 2019-11-27 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

2021 XI Brazilian Symposium on Computing Systems Engineering (SBESC)

Author : IEEE Staff
Publisher :
ISBN 13 : 9781665443128
Total Pages : pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis 2021 XI Brazilian Symposium on Computing Systems Engineering (SBESC) by : IEEE Staff

Download or read book 2021 XI Brazilian Symposium on Computing Systems Engineering (SBESC) written by IEEE Staff and published by . This book was released on 2021-11-22 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern computing systems are becoming increasingly diversified Nowadays we hear about Systems of Systems, Cyber Physical Systems, Ubiquitous Systems and so on Many of these systems are embedded, many are subject to real time constraints, and most of them run an operating system In this context, the term Computing Systems Engineering involves techniques related to a safe, correct and deadline compliant development methodology for these systems The Brazilian Symposium on Computing Systems Engineering (SBESC) was created with the understanding that the design of computing systems is an increasingly multidisciplinary task, therefore should put together researchers within those mentioned research areas

Guide to Automotive Connectivity and Cybersecurity

Author : Dietmar P.F. Möller
Publisher : Springer
ISBN 13 : 3319735128
Total Pages : 665 pages
Book Rating : 4.3/5 (197 download)

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Book Synopsis Guide to Automotive Connectivity and Cybersecurity by : Dietmar P.F. Möller

Download or read book Guide to Automotive Connectivity and Cybersecurity written by Dietmar P.F. Möller and published by Springer. This book was released on 2019-04-03 with total page 665 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive text/reference presents an in-depth review of the state of the art of automotive connectivity and cybersecurity with regard to trends, technologies, innovations, and applications. The text describes the challenges of the global automotive market, clearly showing where the multitude of innovative activities fit within the overall effort of cutting-edge automotive innovations, and provides an ideal framework for understanding the complexity of automotive connectivity and cybersecurity. Topics and features: discusses the automotive market, automotive research and development, and automotive electrical/electronic and software technology; examines connected cars and autonomous vehicles, and methodological approaches to cybersecurity to avoid cyber-attacks against vehicles; provides an overview on the automotive industry that introduces the trends driving the automotive industry towards smart mobility and autonomous driving; reviews automotive research and development, offering background on the complexity involved in developing new vehicle models; describes the technologies essential for the evolution of connected cars, such as cyber-physical systems and the Internet of Things; presents case studies on Car2Go and car sharing, car hailing and ridesharing, connected parking, and advanced driver assistance systems; includes review questions and exercises at the end of each chapter. The insights offered by this practical guide will be of great value to graduate students, academic researchers and professionals in industry seeking to learn about the advanced methodologies in automotive connectivity and cybersecurity.

Computational Vision and Bio-Inspired Computing

Author : S. Smys
Publisher : Springer Nature
ISBN 13 : 9811695733
Total Pages : 877 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Computational Vision and Bio-Inspired Computing by : S. Smys

Download or read book Computational Vision and Bio-Inspired Computing written by S. Smys and published by Springer Nature. This book was released on 2022-03-30 with total page 877 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers from the 5th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2021), held in Coimbatore, India, during November 25–26, 2021. This book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. It also contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.

Machine Learning for Cyber Physical System

Author : Janmenjoy Nayak
Publisher : Springer Nature
ISBN 13 : 3031540387
Total Pages : 412 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Machine Learning for Cyber Physical System by : Janmenjoy Nayak

Download or read book Machine Learning for Cyber Physical System written by Janmenjoy Nayak and published by Springer Nature. This book was released on 2024 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive platform for learning the state-of-the-art machine learning algorithms for solving several cybersecurity issues. It is helpful in guiding for the implementation of smart machine learning solutions to detect various cybersecurity problems and make the users to understand in combating malware, detect spam, and fight financial fraud to mitigate cybercrimes. With an effective analysis of cyber-physical data, it consists of the solution for many real-life problems such as anomaly detection, IoT-based framework for security and control, manufacturing control system, fault detection, smart cities, risk assessment of cyber-physical systems, medical diagnosis, smart grid systems, biometric-based physical and cybersecurity systems using advance machine learning approach. Filling an important gap between machine learning and cybersecurity communities, it discusses topics covering a wide range of modern and practical advance machine learning techniques, frameworks, and development tools to enable readers to engage with the cutting-edge research across various aspects of cybersecurity.