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Radar Signal Processing For Autonomous Driving

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Radar Signal Processing For Autonomous Driving

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Author : Jonah Gamba
language : en
Publisher:
Release Date : 2020

Radar Signal Processing For Autonomous Driving written by Jonah Gamba and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Automated vehicles categories.

The subject of this book is theory, principles and methods used in radar algorithm development with a special focus on automotive radar signal processing. In the automotive industry, autonomous driving is currently a hot topic that leads to numerous applications for both safety and driving comfort. It is estimated that full autonomous driving will be realized in the next twenty to thirty years and one of the enabling technologies is radar sensing. This book presents both detection and tracking topics specifically for automotive radar processing. It provides illustrations, figures and tables for the reader to quickly grasp the concepts and start working on practical solutions. The complete and comprehensive coverage of the topic provides both professionals and newcomers with all the essential methods and tools required to successfully implement and evaluate automotive radar processing algorithms.

Radar Signal Processing For Autonomous Driving

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Author : Jonah Gamba
language : en
Publisher: Springer
Release Date : 2019-08-02

Radar Signal Processing For Autonomous Driving written by Jonah Gamba and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-02 with Technology & Engineering categories.

Deep Learning Methods For Automotive Radar Signal Processing

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Author : Rodrigo Pérez González
language : en
Publisher: Cuvillier Verlag
Release Date : 2021-06-28

Deep Learning Methods For Automotive Radar Signal Processing written by Rodrigo Pérez González and has been published by Cuvillier Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-28 with Computers categories.

Um autonomes Fahren zu ermöglichen, müssen zukünftige Sensorsysteme nicht nur in der Lage sein, das Fahrumfeld zu erfassen, sondern auch semantische Informationen zu liefern. In dieser Arbeit werden Deep Learning Methoden, die die klassische Radarsignalverarbeitungskette verbessern oder sogar ersetzen sollen, entwickelt und im Hinblick auf das Automobilumfeld evaluiert. Für diesen Zweck werden hochmoderne Bilderkennungsalgorithmen auf die Domäne der Radarsignale angepasst und zur Klassifizierung und Detektion verschiedener Verkehrsteilnehmer angewendet. For autonomous driving to become a reality, future sensor systems must be able to not only capture the vehicle’s environment, but also to provide semantic information. In this work, deep learning methods, meant to enhance—or even replace—the classical radar signal processing chain, are developed and evaluated in the context of automotive applications. For this purpose, state of the art computer vision approaches are adapted and applied to radar signals in order to detect and classify different road users.

Automated Driving

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Author : Daniel Watzenig
language : en
Publisher: Springer
Release Date : 2016-09-23

Automated Driving written by Daniel Watzenig and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-23 with Technology & Engineering categories.

The main topics of this book include advanced control, cognitive data processing, high performance computing, functional safety, and comprehensive validation. These topics are seen as technological bricks to drive forward automated driving. The current state of the art of automated vehicle research, development and innovation is given. The book also addresses industry-driven roadmaps for major new technology advances as well as collaborative European initiatives supporting the evolvement of automated driving. Various examples highlight the state of development of automated driving as well as the way forward. The book will be of interest to academics and researchers within engineering, graduate students, automotive engineers at OEMs and suppliers, ICT and software engineers, managers, and other decision-makers.

Radar For Fully Autonomous Driving

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Author : Matt Markel
language : en
Publisher: Artech House
Release Date : 2022-04-30

Radar For Fully Autonomous Driving written by Matt Markel and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-04-30 with Technology & Engineering categories.

This is the first book to bring together the increasingly complex radar automotive technologies and tools being explored and utilized in the development of fully autonomous vehicles – technologies and tools now understood to be an essential need for the field to fully mature. The book presents state-of-the-art knowledge as shared by the best and brightest experts working in the automotive radar industry today -- leaders who have “been there and done that.” Each chapter is written as a standalone "master class" with the authors, seeing the topic through their eyes and experiences. Where beneficial, the chapters reference one another but can otherwise be read in any order desired, making the book an excellent go-to reference for a particular topic or review you need to understand. You’ll get a big-picture tour of the key radar needs for fully autonomous vehicles, and how achieving these needs is complicated by the automotive environment’s dense scenes, number of possible targets of interest, and mix of very large and very small returns. You’ll then be shown the challenges from – and mitigations to – radio frequency interference (RFI), an ever-increasing challenge as the number of vehicles with radars – and radars per vehicle grow. The book also dives into the impacts of weather on radar performance, providing you with insights gained from extensive real-world testing. You are then taken through the integration and systems considerations, especially regarding safety, computing needs, and testing. Each of these areas is influenced heavily by the needs of fully autonomous vehicles and are open areas of research and development. With this authoritative volume you will understand: * How to engage with radar designers (from a system integrator / OEM standpoint); * How to structure and set requirements for automotive radars; * How to address system safety needs for radars in fully autonomous vehicles; * How to assess weather impact on the radar and its ability to support autonomy; * How to include weather effects into specifications for radars. This is an essential reference for engineers currently in the autonomous vehicle arena and/or working in automotive radar development, as well as engineers and leaders in adjacent radar fields needing to stay abreast of the rapid developments in this exciting and dynamic field of research and development.

Digital Signal Processing 101

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Author : Michael Parker
language : en
Publisher: Newnes
Release Date : 2010-05-26

Digital Signal Processing 101 written by Michael Parker and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-05-26 with Technology & Engineering categories.

Digital Signal Processing 101: Everything You Need to Know to Get Started provides a basic tutorial on digital signal processing (DSP). Beginning with discussions of numerical representation and complex numbers and exponentials, it goes on to explain difficult concepts such as sampling, aliasing, imaginary numbers, and frequency response. It does so using easy-to-understand examples and a minimum of mathematics. In addition, there is an overview of the DSP functions and implementation used in several DSP-intensive fields or applications, from error correction to CDMA mobile communication to airborne radar systems. This book is intended for those who have absolutely no previous experience with DSP, but are comfortable with high-school-level math skills. It is also for those who work in or provide components for industries that are made possible by DSP. Sample industries include wireless mobile phone and infrastructure equipment, broadcast and cable video, DSL modems, satellite communications, medical imaging, audio, radar, sonar, surveillance, and electrical motor control. - Dismayed when presented with a mass of equations as an explanation of DSP? This is the book for you! - Clear examples and a non-mathematical approach gets you up to speed with DSP - Includes an overview of the DSP functions and implementation used in typical DSP-intensive applications, including error correction, CDMA mobile communication, and radar systems

Fundamentals Of Radar Signal Processing

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Author : Mark A. Richards
language : en
Publisher: McGraw Hill Professional
Release Date : 2005-07-15

Fundamentals Of Radar Signal Processing written by Mark A. Richards and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-07-15 with Technology & Engineering categories.

Advances in DSP (digital signal processing) have radically altered the design and usage of radar systems -- making it essential for both working engineers as well as students to master DSP techniques. This text, which evolved from the author's own teaching, offers a rigorous, in-depth introduction to today's complex radar DSP technologies. Contents: Introduction to Radar Systems * Signal Models * Sampling and Quantization of Pulsed Radar Signals * Radar Waveforms * Pulse Compression Waveforms * Doppler Processing * Detection Fundamentals * Constant False Alarm Rate (CFAR) Detection * Introduction to Synthetic Aperture Imaging

Autonomous Vehicle Technology

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Author : James M. Anderson
language : en
Publisher: Rand Corporation
Release Date : 2014-01-10

Autonomous Vehicle Technology written by James M. Anderson and has been published by Rand Corporation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-01-10 with Transportation categories.

The automotive industry appears close to substantial change engendered by “self-driving” technologies. This technology offers the possibility of significant benefits to social welfare—saving lives; reducing crashes, congestion, fuel consumption, and pollution; increasing mobility for the disabled; and ultimately improving land use. This report is intended as a guide for state and federal policymakers on the many issues that this technology raises.

Soft Computing And Signal Processing

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Author : Jiacun Wang
language : en
Publisher: Springer
Release Date : 2019-01-16

Soft Computing And Signal Processing written by Jiacun Wang and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-16 with Computers categories.

The book presents selected research papers on current developments in the field of soft computing and signal processing from the International Conference on Soft Computing and Signal Processing (ICSCSP 2018). It includes papers on current topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning, discussing various aspects of these topics, like technological, product implementation, contemporary research as well as application issues.

Advanced Radar Systems

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Author : Eamon Fitzroy
language : en
Publisher: Publifye AS
Release Date : 2025-03-12

Advanced Radar Systems written by Eamon Fitzroy and has been published by Publifye AS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-12 with Technology & Engineering categories.

Advanced Radar Systems explores how cutting-edge radar technology is shaping safer environments across aviation and automotive sectors. The book meticulously details radar systems' crucial role in enhancing collision avoidance, navigation, and overall situational awareness. A key focus is on advanced signal processing, enabling radar to extract meaningful data from noise, thereby boosting detection accuracy. Modern radar architectures are also examined, revealing designs that optimize performance characteristics like range and resolution. This book uniquely bridges academic research and industry application, providing readers with skills to design, analyze, and deploy advanced radar systems. It progresses from fundamental principles, including waveform design and antenna theory, to advanced techniques like adaptive filtering and MIMO radar. Practical examples, case studies, and simulations reinforce understanding, demonstrating real-world applications in autonomous driving, drone navigation, and weather forecasting.

Radar Signal Processing For Autonomous Driving

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