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Radar For Fully Autonomous Driving
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Book Synopsis Radar for Fully Autonomous Driving by : Matt Markel
Download or read book Radar for Fully Autonomous Driving written by Matt Markel and published by Artech House. This book was released on 2022-04-30 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Radar Signal Processing for Autonomous Driving by : Jonah Gamba
Download or read book Radar Signal Processing for Autonomous Driving written by Jonah Gamba and published by Springer. This book was released on 2019-08-02 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Radar Signal Processing for Autonomous Driving by : Jonah Gamba
Download or read book Radar Signal Processing for Autonomous Driving written by Jonah Gamba and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Millimeter Wave Radar by : Stephen L. Johnston
Download or read book Millimeter Wave Radar written by Stephen L. Johnston and published by . This book was released on 1980 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Polarimetric Radar for Automotive Applications by : Visentin, Tristan
Download or read book Polarimetric Radar for Automotive Applications written by Visentin, Tristan and published by KIT Scientific Publishing. This book was released on 2019-04-10 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Autonomous Vehicle Technology by : James M. Anderson
Download or read book Autonomous Vehicle Technology written by James M. Anderson and published by Rand Corporation. This book was released on 2014-01-10 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Large Aperture Array Radar Systems for Automotive Applications by : Fabian Schwartau
Download or read book Large Aperture Array Radar Systems for Automotive Applications written by Fabian Schwartau and published by Cuvillier. This book was released on 2021-10-18 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: The automotive industry is pushing towards highly assisted and even autonomous driving cars. To gather a more precise and reliable representation of the car's surroundings, the sensors and the signal processing are improving over time and are a subject to continuous research. One essential sensor is the radar, which is robust and reliable even in harsh environmental conditions. The primary downside of a radar is its low resolution compared to lidar or camera-based systems. To mitigate these drawbacks the resolution of radar systems has to be improved. The bandwidth has to be increased to improve the range resolution, and the aperture has to be increased to improve the angular resolution. Primarily caused by the automotive industry, fully integrated radar on chip solutions are now available and allow the construction of more complex radar systems. These radar on chip devices lay the foundation for radars that fulfill the requirements of increased resolution for future systems. Although this work is focused automotive applications, most ideas, concepts, and calculations are also applicable to other fields. Similar systems may be used in the security sector, quality control in industrial processes, or gesture detection, to name a few examples. This thesis shows the development of a conceptual future radar system for automotive applications. The focus is on providing a large antenna aperture to achieve the required high angular resolution. Two genetic algorithms are developed to optimize the antenna array for a good side lobe level while providing high angular resolution. Two demonstrators are built to implement certain aspects of the proposed radar system and prove the general concept viable. The first demonstrator features a large aperture with a limited side lobe level and is using a modular approach. The modules are synchronized with a radio over fiber system. The second demonstrator uses the previously proposed antenna array, which is implemented with a synthetic a
Book Synopsis Autonomous Vehicles by : Fouad Sabry
Download or read book Autonomous Vehicles written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2021-02-03 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Elon Musk thought that his company Tesla will have fully autonomous cars ready by the end of 2020. "There are no fundamental challenges left," he said recently. "There are a number of minor issues. And then there's a struggle to solve all these little problems and bring the whole thing together." Although the technology to allow a car to complete a journey without human interference (what the industry calls "level 5 autonomy") can move quickly, the development of a vehicle that can do so safely and legally is another matter. The novelty of autonomous technology is intended to turn our legal and social ties into daily transport. Importantly, without a driver behind the wheel, autonomous vehicles raise concerns about the liability and responsibility for the conduct of the lane. Therefore, this book is structured to answer many questions about autonomous vehicles and make you not only understand all the aspects of this emerging technology, but master the discussions and debates about the following topics: Chapter One: The rise of autonomous vehicles Autonomous vehicles become reality History of Autonomous vehicles Road Items Weights Society of Automotive Engineers (SAE International) Chapter Two: Tesla Autopilot AutoPilot AI Advanced Sensor Coverage Wide, Main and Narrow Forward Cameras Wide Main Narrow Forward Looking Side Cameras Rearward Looking Side Cameras Rear View Camera Radar Ultrasonic Sensors Processing Power Increased 40x Tesla Vision Autopilot Navigate on Autopilot Autosteer+ Smart Summon Full Self-Driving Capability From Home To your Destination Chapter Three: A level-by-level explainer of autonomous vehicles Classification System For The Development Of Innovations The J3016 Guidelines Six SAE level Criticism of SAE classification Level 0: No automation Level 1: Driver assistance Level 2: Partial automation Level 3: Conditional automation Level 4: High automation Level 5: Full automation Chapter Four: Main Connectivity Specifications Of Autonomous Vehicles Vehicle-To-Everything Architectures must be both redundant and real-time. The demand for high-speed data would increase only Security and other applications Include external connectivity Autonomous driving efficiency and reliability are non-negotiable More and more electrified cars would need a new approach to safety Next generation Car Design Would Need Miniaturized Solutions Co-creation of the future of mobility Chapter Five: Building Passenger Trust Is Key Technology for self-driving cars is accelerating fast, but our driverless future isn't going anywhere if people don't trust it. rules of the road implicit laws are more challenging The math-based AV safety model What is Sensitive Protection Responsibility? RSS is compatible with other AV systems How are AVs safely sharing the road with human drivers? 01 Safe distance: Don't hit the car in front of you 02 Cutting in: Don't cut it in recklessly 03 Right of Way: Right of way is given, not taken 04 Limited Visibility: Be cautious in areas with limited visibility 05 Avoid Crashes: If you can avoid a crash without causing another one, you must Moving past the miles-driven Improving road safety with RSS today RSS to gain support Baidu Valeo China ITS Alliance RAND Corp. The Arizona Institute for Automated Mobility Joint Research Institutes Chapter Six: The reasons Autonomous vehicles still aren’t on our roads The Gap Between the Invention and The Application Sensors Machine Learning The Open Road Regulations Social Acceptability Chapter Seven: Legal frameworks and other national initiatives The United States European Union Membership United Arab Emirates Japan Australia Chapter Eight: Liability, ethics and human rights implications The novelty of autonomous vehicles The critical debate Autonomy Threats Chapter Nine: Leading opinions on an ethical rollout for autonomous vehicles The Three Laws of Robotics The Ethical Dilemmas of Autonomy The Worst-Case Scenario The Trolley Issue Chapter Ten: Social and economic implications Roads Safety Vehicles Ownership and Vehicles Insurance Jobs Chapter Eleven: Ongoing research and impediments to autonomous vehicle development Research and Development The Social Acceptance of Autonomous Vehicles Chapter Twelve: The Sensor Types Drive Autonomous Vehicles Multiple Redundant Sensor Systems Overview of the study SAE Levels Short DESCRIPTIONS No car manufacturer has reached level 3 or higher Which sensors are needed? Camera and LIDAR Systems Cameras Back and 360° cameras Front-Facing Camera Systems RADAR Sensor LiDAR Summary and insight
Book Synopsis Automotive Radar Sensors in Silicon Technologies by : Vipul Jain
Download or read book Automotive Radar Sensors in Silicon Technologies written by Vipul Jain and published by Springer Science & Business Media. This book was released on 2012-09-27 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the leading causes of automobile accidents is the slow reaction of the driver while responding to a hazardous situation. State-of-the-art wireless electronics can automate several driving functions, leading to significant reduction in human error and improvement in vehicle safety. With continuous transistor scaling, silicon fabrication technology now has the potential to substantially reduce the cost of automotive radar sensors. This book bridges an existing gap between information available on dependable system/architecture design and circuit design. It provides the background of the field and detailed description of recent research and development of silicon-based radar sensors. System-level requirements and circuit topologies for radar transceivers are described in detail. Holistic approaches towards designing radar sensors are validated with several examples of highly-integrated radar ICs in silicon technologies. Circuit techniques to design millimeter-wave circuits in silicon technologies are discussed in depth.
Book Synopsis Millimeter-Wave Circuits for 5G and Radar by : Gernot Hueber
Download or read book Millimeter-Wave Circuits for 5G and Radar written by Gernot Hueber and published by Cambridge University Press. This book was released on 2019-06-20 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the concepts, architectures, components, tools, and techniques needed to design millimeter-wave circuits for current and emerging wireless system applications. Focusing on applications in 5G, connectivity, radar, and more, leading experts in radio frequency integrated circuit (RFIC) design provide a comprehensive treatment of cutting-edge physical-layer technologies for radio frequency (RF) transceivers - specifically RF, analog, mixed-signal, and digital circuits and architectures. The full design chain is covered, from system design requirements through to building blocks, transceivers, and process technology. Gain insight into the key novelties of 5G through authoritative chapters on massive MIMO and phased arrays, and learn about the very latest technology developments, such as FinFET logic process technology for RF and millimeter-wave applications. This is an essential reading and an excellent reference for high-frequency circuit designers in both academia and industry.
Book Synopsis Deep Learning Methods for Automotive Radar Signal Processing by : Rodrigo Pérez González
Download or read book Deep Learning Methods for Automotive Radar Signal Processing written by Rodrigo Pérez González and published by Cuvillier. This book was released on 2021-06-28 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Polarimetric Radar for Automotive Applications by : Tristan Visentin
Download or read book Polarimetric Radar for Automotive Applications written by Tristan Visentin and published by Saint Philip Street Press. This book was released on 2020-10-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.
Book Synopsis Deep Neural Network Design for Radar Applications by : Sevgi Zubeyde Gurbuz
Download or read book Deep Neural Network Design for Radar Applications written by Sevgi Zubeyde Gurbuz and published by SciTech Publishing. This book was released on 2020-12-31 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Novel deep learning approaches are achieving state-of-the-art accuracy in the area of radar target recognition, enabling applications beyond the scope of human-level performance. This book provides an introduction to the unique aspects of machine learning for radar signal processing that any scientist or engineer seeking to apply these technologies ought to be aware of.
Book Synopsis Intelligent Multi-Modal Data Processing by : Soham Sarkar
Download or read book Intelligent Multi-Modal Data Processing written by Soham Sarkar and published by John Wiley & Sons. This book was released on 2021-04-05 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive review of the most recent applications of intelligent multi-modal data processing Intelligent Multi-Modal Data Processing contains a review of the most recent applications of data processing. The Editors and contributors – noted experts on the topic – offer a review of the new and challenging areas of multimedia data processing as well as state-of-the-art algorithms to solve the problems in an intelligent manner. The text provides a clear understanding of the real-life implementation of different statistical theories and explains how to implement various statistical theories. Intelligent Multi-Modal Data Processing is an authoritative guide for developing innovative research ideas for interdisciplinary research practices. Designed as a practical resource, the book contains tables to compare statistical analysis results of a novel technique to that of the state-of-the-art techniques and illustrations in the form of algorithms to establish a pre-processing and/or post-processing technique for model building. The book also contains images that show the efficiency of the algorithm on standard data set. This important book: Includes an in-depth analysis of the state-of-the-art applications of signal and data processing Contains contributions from noted experts in the field Offers information on hybrid differential evolution for optimal multilevel image thresholding Presents a fuzzy decision based multi-objective evolutionary method for video summarisation Written for students of technology and management, computer scientists and professionals in information technology, Intelligent Multi-Modal Data Processing brings together in one volume the range of multi-modal data processing.
Book Synopsis Autonomous Driving Perception by : Rui Fan
Download or read book Autonomous Driving Perception written by Rui Fan and published by Springer Nature. This book was released on 2023-10-06 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the captivating world of computer vision and deep learning for autonomous driving with our comprehensive and in-depth guide. Immerse yourself in an in-depth exploration of cutting-edge topics, carefully crafted to engage tertiary students and ignite the curiosity of researchers and professionals in the field. From fundamental principles to practical applications, this comprehensive guide offers a gentle introduction, expert evaluations of state-of-the-art methods, and inspiring research directions. With a broad range of topics covered, it is also an invaluable resource for university programs offering computer vision and deep learning courses. This book provides clear and simplified algorithm descriptions, making it easy for beginners to understand the complex concepts. We also include carefully selected problems and examples to help reinforce your learning. Don't miss out on this essential guide to computer vision and deep learning for autonomous driving.
Book Synopsis Robots, Drones, UAVs and UGVs for Operation and Maintenance by : Diego Galar
Download or read book Robots, Drones, UAVs and UGVs for Operation and Maintenance written by Diego Galar and published by CRC Press. This book was released on 2020-05-07 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: Industrial assets (such as railway lines, roads, pipelines) are usually huge, span long distances, and can be divided into clusters or segments that provide different levels of functionality subject to different loads, degradations and environmental conditions, and their efficient management is necessary. The aim of the book is to give comprehensive understanding about the use of autonomous vehicles (context of robotics) for the utilization of inspection and maintenance activities in industrial asset management in different accessibility and hazard levels. The usability of deploying inspection vehicles in an autonomous manner is explained with the emphasis on integrating the total process. Key Features Aims for solutions for maintenance and inspection problems provided by robotics, drones, unmanned air vehicles and unmanned ground vehicles Discusses integration of autonomous vehicles for inspection and maintenance of industrial assets Covers the industrial approach to inspection needs and presents what is needed from the infrastructure end Presents the requirements for robot designers to design an autonomous inspection and maintenance system Includes practical case studies from industries
Book Synopsis Autonomous Driving by : Markus Maurer
Download or read book Autonomous Driving written by Markus Maurer and published by Springer. This book was released on 2016-05-21 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book takes a look at fully automated, autonomous vehicles and discusses many open questions: How can autonomous vehicles be integrated into the current transportation system with diverse users and human drivers? Where do automated vehicles fall under current legal frameworks? What risks are associated with automation and how will society respond to these risks? How will the marketplace react to automated vehicles and what changes may be necessary for companies? Experts from Germany and the United States define key societal, engineering, and mobility issues related to the automation of vehicles. They discuss the decisions programmers of automated vehicles must make to enable vehicles to perceive their environment, interact with other road users, and choose actions that may have ethical consequences. The authors further identify expectations and concerns that will form the basis for individual and societal acceptance of autonomous driving. While the safety benefits of such vehicles are tremendous, the authors demonstrate that these benefits will only be achieved if vehicles have an appropriate safety concept at the heart of their design. Realizing the potential of automated vehicles to reorganize traffic and transform mobility of people and goods requires similar care in the design of vehicles and networks. By covering all of these topics, the book aims to provide a current, comprehensive, and scientifically sound treatment of the emerging field of “autonomous driving".
