This book starts with the introduction of the radar working system from a mathematical point of view. It shows the composition of transmitted signal and echo signal, and describes the principle of speed measurement and distance measurement for different radar systems. The book focuses on millimeter-wave radar technologies related to echo signal denoising, target identification, clustering, and target tracking and develops a workable plan for the information fusion idea between millimeter-wave radar and machine vision. This book breaks down the systematic processing flow of millimeter-wave radar echo signals one by one from the standpoint of intelligent transportation, concentrating on the introduction of principles and reinforced by a plethora of experimental instances. So that readers from all relevant professions may comprehend millimeter-wave radar's involvement throughout the complete system process.

This book text provides an overview of the radar target recognition process and covers the key techniques being developed for operational systems. It is based on the fundamental scientific principles of high resolution radar, and explains how the underlying techniques can be used in real systems, taking into account the characteristics of practical radar system designs and component limitations. It also addresses operational aspects, such as how high resolution modes would fit in with other functions such as detection and tracking.

With the increase in urban population, it became necessary to keep track of the object of interest. In favor of SDGs for sustainable smart city, with the advancement in technology visual tracking extends to track multi-target present in the scene rather estimating location for single target only. In contrast to single object tracking, multi-target introduces one extra step of detection. Tracking multi-target includes detecting and categorizing the target into multiple classes in the first frame and provides each individual target an ID to keep its track in the subsequent frames of a video stream. One category of multi-target algorithms exploits global information to track the target of the detected target. On the other hand, some algorithms consider present and past information of the target to provide efficient tracking solutions. Apart from these, deep leaning-based algorithms provide reliable and accurate solutions. But, these algorithms are computationally slow when applied in real-time. This book presents and summarizes the various visual tracking algorithms and challenges in the domain. The various feature that can be extracted from the target and target saliency prediction is also covered. It explores a comprehensive analysis of the evolution from traditional methods to deep learning methods, from single object tracking to multi-target tracking. In addition, the application of visual tracking and the future of visual tracking can also be introduced to provide the future aspects in the domain to the reader. This book also discusses the advancement in the area with critical performance analysis of each proposed algorithm. This book will be formulated with intent to uncover the challenges and possibilities of efficient and effective tracking of single or multi-object, addressing the various environmental and hardware challenges. The intended audience includes academicians, engineers, postgraduate students, developers, professionals, military personals, scientists, data analysts, practitioners, and people who are interested in exploring more about tracking.· Another projected audience are the researchers and academicians who identify and develop methodologies, frameworks, tools, and applications through reference citations, literature reviews, quantitative/qualitative results, and discussions.

Millimeter wave radar fire control for ground-to-ground tactical weapons provides a compromise between the resolution offered by electrooptical and infrared systems and the adverse environment (fog, battlefield smokes) penetrability which is characteristic of microwave systems. The effectiveness of millimeter sensors would be greatly enhanced if they could also be used to classify radar returns resulting from clutter, tanks, personnel carriers, etc., and particularly from stationary targets. (Author).

The emergence of driverless vehicles has generated greater demands and complexities for the automotive radar industry. In the past half-decade, millimeter wave radar technology has made significant strides in large-scale virtual array technology, enabling the acquisition of highly accurate range, velocity, azimuth, and elevation information. This reprint is a comprehensive compilation of the latest cutting-edge methods in radar remote sensing, and their practical applications in intelligent transportation. The articles featured in this reprint delve into a broad spectrum of topics, ranging from fundamental theoretical analyses to pragmatic experiments aimed at solving real-world issues such as interference reduction, communication, and radar sensing specifically tailored for intelligent transportation systems.

Featuring critical material never before available in Western resources, this invaluable millimeter-wave radar book delivers in-depth coverage of both theory and experimental data on targets and clutter from land, sea, and precipitation. For the first time, you are provided with measured data from Russian sources on radar characteristics of explosions, turbine exhausts, and sonic perturbations in target wakes.