Deep Learning Methods For Automotive Radar Signal Processing
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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.
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.
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.
Methods And Techniques In Deep Learning
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Author : Avik Santra
language : en
Publisher: John Wiley & Sons
Release Date : 2022-12-08
Methods And Techniques In Deep Learning written by Avik Santra and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-08 with Technology & Engineering categories.
Methods and Techniques in Deep Learning Introduces multiple state-of-the-art deep learning architectures for mmWave radar in a variety of advanced applications Methods and Techniques in Deep Learning: Advancements in mmWave Radar Solutions provides a timely and authoritative overview of the use of artificial intelligence (AI)-based processing for various mmWave radar applications. Focusing on practical deep learning techniques, this comprehensive volume explains the fundamentals of deep learning, reviews cutting-edge deep metric learning techniques, describes different typologies of reinforcement learning (RL) algorithms, highlights how domain adaptation (DA) can be used for improving the performance of machine learning (ML) algorithms, and more. Throughout the book, readers are exposed to product-ready deep learning solutions while learning skills that are relevant for building any industrial-grade, sensor-based deep learning solution. A team of authors with more than 70 filed patents and 100 published papers on AI and sensor processing illustrates how deep learning is enabling a range of advanced industrial, consumer, and automotive applications of mmWave radars. In-depth chapters cover topics including multi-modal deep learning approaches, the elemental blocks required to formulate Bayesian deep learning, how domain adaptation (DA) can be used for improving the performance of machine learning algorithms, and geometric deep learning are used for processing point clouds. In addition, the book: Discusses various advanced applications and how their respective challenges have been addressed using different deep learning architectures and algorithms Describes deep learning in the context of computer vision, natural language processing, sensor processing, and mmWave radar sensors Demonstrates how deep parametric learning reduces the number of trainable parameters and improves the data flow Presents several human-machine interface (HMI) applications such as gesture recognition, human activity classification, human localization and tracking, in-cabin automotive occupancy sensing Methods and Techniques in Deep Learning: Advancements in mmWave Radar Solutions is an invaluable resource for industry professionals, researchers, and graduate students working in systems engineering, signal processing, sensors, data science, and AI.
Signal Processing For Joint Radar Communications
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Author : Kumar Vijay Mishra
language : en
Publisher: John Wiley & Sons
Release Date : 2024-04-23
Signal Processing For Joint Radar Communications written by Kumar Vijay Mishra and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-23 with Technology & Engineering categories.
Signal Processing for Joint Radar Communications A one-stop, comprehensive source for the latest research in joint radar communications In Signal Processing for Joint Radar Communications, four eminent electrical engineers deliver a practical and informative contribution to the diffusion of newly developed joint radar communications (JRC) tools into the sensing and communications communities. This book illustrates recent successes in applying modern signal processing theories to core problems in JRC. The book offers new results on algorithms and applications of JRC from diverse perspectives, including waveform design, physical layer processing, privacy, security, hardware prototyping, resource allocation, and sampling theory. The distinguished editors bring together contributions from more than 40 leading JRC researchers working on remote sensing, electromagnetics, optimization, signal processing, and beyond 5G wireless networks. The included resources provide an in-depth mathematical treatment of relevant signal processing tools and computational methods allowing readers to take full advantage of JRC systems. Readers will also find: Thorough introductions to fundamental limits and background on JRC theory and applications, including dual-function radar communications, cooperative JRC, distributed JRC, and passive JRC Comprehensive explorations of JRC processing via waveform analyses, interference mitigation, and modeling with jamming and clutter Practical discussions of information-theoretic, optimization, and networking aspects of JRC In-depth examinations of JRC applications in cutting-edge scenarios including automotive systems, intelligent reflecting surfaces, and secure parameter estimation Perfect for researchers and professionals in the fields of radar, signal processing, communications, information theory, networking, and electronic warfare, Signal Processing for Joint Radar Communications will also earn a place in the libraries of engineers working in the defense, aerospace, wireless communications, and automotive industries.
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
Information Theoretic Radar Signal Processing
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Author : Yujie Gu
language : en
Publisher: John Wiley & Sons
Release Date : 2024-12-17
Information Theoretic Radar Signal Processing written by Yujie Gu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-17 with Technology & Engineering categories.
A comprehensive introduction to the emerging research in information-theoretic radar signal processing Signal processing plays a pivotal role in radar systems to estimate, visualize, and leverage useful target information from noisy and distorted radar signals, harnessing their spatial characteristics, temporal features, and Doppler signatures. The burgeoning applications of information theory in radar signal processing provide a distinct perspective for tackling diverse challenges, including optimized waveform design, performance bound analysis, robust filtering, and target enumeration. Information-Theoretic Radar Signal Processing provides a comprehensive introduction to radar signal processing from an information theory perspective. Covering both fundamental principles and advanced techniques, the book facilitates the integration of information theory into radar signal processing, broadening the scope and improving the performance. Tailored to the needs of researchers and students alike, it serves as a valuable resource for comprehending the information-theoretic aspects of radar signal processing. Information-Theoretic Radar Signal Processing readers will also find: Presentation of alternative hypotheses in adaptive radar detection Detailed discussion of topics including resource management and power allocation Direction-of-arrival (DOA) estimation and integrated sensing and communications (ISAC) Information-Theoretic Radar Signal Processing is ideal for graduate students, scientists, researchers, and engineers, who work on the broad scope of radar and sonar applications, including target detection, estimation, imaging, tracking, and classification using radio frequency, ultrasonic, and acoustic methods.
Advanced Planning Control And Signal Processing Methods And Applications In Robotic Systems
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Author : Zhan Li
language : en
Publisher: Frontiers Media SA
Release Date : 2022-02-22
Advanced Planning Control And Signal Processing Methods And Applications In Robotic Systems written by Zhan Li and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-22 with Science categories.
An Introduction To Electronic Warfare From The First Jamming To Machine Learning Techniques
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Author : Chi-Hao Cheng
language : en
Publisher: CRC Press
Release Date : 2022-09-01
An Introduction To Electronic Warfare From The First Jamming To Machine Learning Techniques written by Chi-Hao Cheng and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-01 with Science categories.
Since its creation at the beginning of World II, radars have forever transformed the practice of modern warfare. The evolution of countermeasure conducted by electronic warfare systems against radars and radars’ corresponding counter countermeasures is an intriguing technical subject. This book provides a very accessible introduction to a broad range of radar and electronic warfare technologies. The subjects covered in this book range from early radar development to later technologies such as stealthy techniques, low probability of intercept radar, and machine learning. Historical events are used to illustrate the principles of electronic warfare and to help readers to apprehend contexts under which radars and corresponding electronic warfare techniques were developed.
Polarimetric Radar For Automotive Applications
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Author : Visentin, Tristan
language : en
Publisher: KIT Scientific Publishing
Release Date : 2019-04-10
Polarimetric Radar For Automotive Applications written by Visentin, Tristan and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-10 with Technology (General) categories.
Current automotive radar sensors prove to be a weather robust and low-cost solution, but are suffering from low resolution and are not capable of classifying detected targets. However, for future applications like autonomous driving, such features are becoming ever increasingly important. On the basis of successful state-of-the-art applications, this work presents the first in-depth analysis and ground-breaking, novel results of polarimetric millimeter wave radars for automotive applications.
Handbook Of Driver Assistance Systems
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Author : Hermann Winner
language : en
Publisher: Springer
Release Date : 2015-10-15
Handbook Of Driver Assistance Systems written by Hermann Winner and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-15 with Technology & Engineering categories.
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.