Ada's Algorithm

Ada's Algorithm PDF Author: James Essinger
Publisher: Melville House
ISBN: 1612194095
Category : Biography & Autobiography
Languages : en
Pages : 243

Book Description
“[Ada Lovelace], like Steve Jobs, stands at the intersection of arts and technology."—Walter Isaacson, author of The Innovators Over 150 years after her death, a widely-used scientific computer program was named “Ada,” after Ada Lovelace, the only legitimate daughter of the eighteenth century’s version of a rock star, Lord Byron. Why? Because, after computer pioneers such as Alan Turing began to rediscover her, it slowly became apparent that she had been a key but overlooked figure in the invention of the computer. In Ada Lovelace, James Essinger makes the case that the computer age could have started two centuries ago if Lovelace’s contemporaries had recognized her research and fully grasped its implications. It’s a remarkable tale, starting with the outrageous behavior of her father, which made Ada instantly famous upon birth. Ada would go on to overcome numerous obstacles to obtain a level of education typically forbidden to women of her day. She would eventually join forces with Charles Babbage, generally credited with inventing the computer, although as Essinger makes clear, Babbage couldn’t have done it without Lovelace. Indeed, Lovelace wrote what is today considered the world’s first computer program—despite opposition that the principles of science were “beyond the strength of a woman’s physical power of application.” Based on ten years of research and filled with fascinating characters and observations of the period, not to mention numerous illustrations, Essinger tells Ada’s fascinating story in unprecedented detail to absorbing and inspiring effect.

Algorithm & SoC Design for Automotive Vision Systems

Algorithm & SoC Design for Automotive Vision Systems PDF Author: Jaeseok Kim
Publisher: Springer
ISBN: 9401790752
Category : Technology & Engineering
Languages : en
Pages : 296

Book Description
An emerging trend in the automobile industry is its convergence with information technology (IT). Indeed, it has been estimated that almost 90% of new automobile technologies involve IT in some form. Smart driving technologies that improve safety as well as green fuel technologies are quite representative of the convergence between IT and automobiles. The smart driving technologies include three key elements: sensing of driving environments, detection of objects and potential hazards and the generation of driving control signals including warning signals. Although radar-based systems are primarily used for sensing the driving environments, the camera has gained importance in advanced driver assistance systems (ADAS). This book covers system-on-a-chip (SoC) designs—including both algorithms and hardware—related with image sensing and object detection by using the camera for smart driving systems. It introduces a variety of algorithms such as lens correction, super resolution, image enhancement and object detections from the images captured by low-cost vehicle camera. This is followed by implementation issues such as SoC architecture, hardware accelerator, software development environment and reliability techniques for automobile vision systems. This book is aimed for the new and practicing engineers in automotive and chip-design industries to provide some overall guidelines for the development of automotive vision systems. It will also help graduate students understand and get started for the research work in this field.

Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions

Control Strategies for Advanced Driver Assistance Systems and Autonomous Driving Functions PDF Author: Harald Waschl
Publisher: Springer
ISBN: 331991569X
Category : Technology & Engineering
Languages : en
Pages : 235

Book Description
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.

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

Machine Learning and Embedded Computing in Advanced Driver Assistance Systems (ADAS) PDF Author: John Ball
Publisher: MDPI
ISBN: 303921375X
Category : Technology & Engineering
Languages : en
Pages : 342

Book Description
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.

Algorithms and Architectures for Parallel Processing

Algorithms and Architectures for Parallel Processing PDF Author: Shadi Ibrahim
Publisher: Springer
ISBN: 3319654829
Category : Computers
Languages : en
Pages : 836

Book Description
This book constitutes the proceedings of the 17th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2017, held in Helsinki, Finland, in August 2017. The 25 full papers presented were carefully reviewed and selected from 117 submissions. They cover topics such as parallel and distributed architectures; software systems and programming models; distributed and network-based computing; big data and its applications; parallel and distributed algorithms; applications of parallel and distributed computing; service dependability and security in distributed and parallel systems; service dependability and security in distributed and parallel systems; performance modeling and evaluation.This volume also includes 41 papers of four workshops, namely: the 4th International Workshop on Data, Text, Web, and Social Network Mining (DTWSM 2017), the 5th International Workshop on Parallelism in Bioinformatics (PBio 2017), the First International Workshop on Distributed Autonomous Computing in Smart City (DACSC 2017), and the Second International Workshop on Ultrascale Computing for Early Researchers (UCER 2017).

Autonomous driving algorithms and Its IC Design

Autonomous driving algorithms and Its IC Design PDF Author: Jianfeng Ren
Publisher: Springer Nature
ISBN: 9819928974
Category : Technology & Engineering
Languages : en
Pages : 306

Book Description
With the rapid development of artificial intelligence and the emergence of various new sensors, autonomous driving has grown in popularity in recent years. The implementation of autonomous driving requires new sources of sensory data, such as cameras, radars, and lidars, and the algorithm processing requires a high degree of parallel computing. In this regard, traditional CPUs have insufficient computing power, while DSPs are good at image processing but lack sufficient performance for deep learning. Although GPUs are good at training, they are too “power-hungry,” which can affect vehicle performance. Therefore, this book looks to the future, arguing that custom ASICs are bound to become mainstream. With the goal of ICs design for autonomous driving, this book discusses the theory and engineering practice of designing future-oriented autonomous driving SoC chips. The content is divided into thirteen chapters, the first chapter mainly introduces readers to the current challenges and research directions in autonomous driving. Chapters 2–6 focus on algorithm design for perception and planning control. Chapters 7–10 address the optimization of deep learning models and the design of deep learning chips, while Chapters 11-12 cover automatic driving software architecture design. Chapter 13 discusses the 5G application on autonomous drving. This book is suitable for all undergraduates, graduate students, and engineering technicians who are interested in autonomous driving.

Advanced Driver Assistance Systems and Autonomous Vehicles

Advanced Driver Assistance Systems and Autonomous Vehicles PDF Author: Yan Li
Publisher: Springer Nature
ISBN: 9811950539
Category : Technology & Engineering
Languages : en
Pages : 628

Book Description
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

Development of Frameworks for Environment Dependent Traffic Simulation and ADAS Algorithm Testing

Development of Frameworks for Environment Dependent Traffic Simulation and ADAS Algorithm Testing PDF Author: Shanthan Kumar Padisala
Publisher:
ISBN:
Category : Automated vehicles
Languages : en
Pages : 0

Book Description
With the integration of Advanced Driver Assistance Systems (ADAS) and Intelligent Transportation Systems into vehicles, the need to measure the performance of these systems from a large scale traffic system level to vehicle component level is necessary in order to ensure the safety of the driver and all the traffic elements like pedestrians, other vehicles and infrastructure. Due to the practical constraints, software-in-loop (SiL) is the widely adopted methodology over on-road testing for verification and validation of these systems. However, these SiL solutions can be expensive and limited in their capabilities due to their proprietary nature. The unavailability of an open-sourced toolset for simulating microscopic vehicles at a macroscopic level has motivated the creation of a novel Simulation of Urban MObility based framework which can be used as a platform for system integration and co-simulations with other tools. Another problem addressed in this thesis is in the rapidly developing area of Perception System Algorithms. Due to the increased availability of data, these algorithms are being trained on huge datasets. However, due to the unavailability of proper evaluation methods or limited traditional metrics, it is challenging to evaluate the variation in the performance of these algorithms on images subjected to environmental variations. In order to evaluate the variation of the performance of an algorithm in different lighting conditions, a novel sensitivity based approach is proposed in this thesis.

Autonomous Driving and Advanced Driver-Assistance Systems (ADAS)

Autonomous Driving and Advanced Driver-Assistance Systems (ADAS) PDF Author: Lentin Joseph
Publisher: CRC Press
ISBN: 1000483770
Category : Computers
Languages : en
Pages : 540

Book Description
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.
Proudly powered by WordPress | Theme: Rits Blog by Crimson Themes.