Overview
- Presents all the key principles and techniques to quickly learn about automotive radar algorithms
- Provides the essential methods and tools to successfully implement and evaluate them
- Includes a special chapter on automotive autonomous driving applications
Part of the book series: Signals and Communication Technology (SCT)
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Table of contents (9 chapters)
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Front Matter
Keywords
About this book
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.
Authors and Affiliations
About the author
He has been actively involved in research and development activities after obtaining his PhD. He conducted research in automotive applications of millimeter-wave radar for advanced vehicle safety and comfort systems. At Tsukuba University’s Tsukuba Advanced Research Alliance he conducted research in video and image processing algorithms as a JST CREST Project postdoctoral researcher. CREST is the highest level of research in Japan. His research activities involved development of the next generation high resolution algorithms for both high definition TVs and portable mobile devices such as smartphones. In application area, he was key part model based development activities in signal processing, communications and physical modeling as an Application Engineer. His main task was to implementing signal processing and control algorithms for the automotive and electronics industry clients. This area targeted both hardware and software development especially DSPs and FPGA/ASIC. Additionally, he was a software R&D engineer and manager for multicore/many-core microprocessors deployed in automotive vision, video mining and mobile applications. His task is to manage and develop software for multicore processors with the aim of increasing performance while minimizing energy consumption. He was also a leading developer of the millimeter wave radar sensor for autonomous driving applications with Fujitsu Ten.
Dr. Gamba has authored and co-authored several publications in signal processing and related fields. As an inventor, he has registeredmultiple patents in signal processing applications. His current interests are signal processing for automotive applications, functional safety management and remote sensing. He has been a visiting researcher of Seikei University and Tokyo University. He is a member of IEEE Signal Processing Society.
Bibliographic Information
Book Title: Radar Signal Processing for Autonomous Driving
Authors: Jonah Gamba
Series Title: Signals and Communication Technology
DOI: https://doi.org/10.1007/978-981-13-9193-4
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-13-9192-7Published: 19 August 2019
Softcover ISBN: 978-981-13-9195-8Published: 19 August 2020
eBook ISBN: 978-981-13-9193-4Published: 02 August 2019
Series ISSN: 1860-4862
Series E-ISSN: 1860-4870
Edition Number: 1
Number of Pages: XV, 142
Topics: Signal, Image and Speech Processing, Machine Learning, Robotics and Automation