Algorithms For Automatic Guided Vehicle Navigation And Guidance Based On Linear Image Array Sensor Data PDF Download

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Robotics and Manufacturing

Robotics and Manufacturing
Author:
Publisher:
Total Pages: 1146
Release: 1988
Genre: Manufacturing processes
ISBN:

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Lane-Precise Localization with Production Vehicle Sensors and Application to Augmented Reality Navigation

Lane-Precise Localization with Production Vehicle Sensors and Application to Augmented Reality Navigation
Author: Rabe, Johannes
Publisher: KIT Scientific Publishing
Total Pages: 196
Release: 2019-01-10
Genre: Augmented reality
ISBN: 3731508540

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This works describes an approach to lane-precise localization on current digital maps. A particle filter fuses data from production vehicle sensors, such as GPS, radar, and camera. Performance evaluations on more than 200 km of data show that the proposed algorithm can reliably determine the current lane. Furthermore, a possible architecture for an intuitive route guidance system based on Augmented Reality is proposed together with a lane-change recommendation for unclear situations.


Hall-Effect Sensors

Hall-Effect Sensors
Author: Edward Ramsden
Publisher: Elsevier
Total Pages: 265
Release: 2011-04-01
Genre: Computers
ISBN: 0080523749

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Without sensors most electronic applications would not exist—sensors perform a vital function, namely providing an interface to the real world. Hall effect sensors, based on a magnetic phenomena, are one of the most commonly used sensing technologies today. In the 1970s it became possible to build Hall effect sensors on integrated circuits with onboard signal processing circuitry, vastly reducing the cost and enabling widespread practical use. One of the first major applications was in computer keyboards, replacing mechanical contacts. Hundreds of millions of these devices are now manufactured each year for use in a great variety of applications, including automobiles, computers, industrial control systems, cell phones, and many others. The importance of these sensors, however, contrasts with the limited information available. Many recent advances in miniaturization, smart sensor configurations, and networkable sensor technology have led to design changes and a need for reliable information. Most of the technical information on Hall effect sensors is supplied by sensor manufacturers and is slanted toward a particular product line. System design and control engineers need an independent, readable source of practical design information and technical details that is not product- or manufacturer-specific and that shows how Hall effect sensors work, how to interface to them, and how to apply them in a variety of uses. This book covers:• the physics behind Hall effect sensors• Hall effect transducers• transducer interfacing• integrated Hall effect sensors and how to interface to them• sensing techniques using Hall effect sensors• application-specific sensor ICs• relevant development and design toolsThis second edition is expanded and updated to reflect the latest advances in Hall effect devices and applications! Information about various sensor technologies is scarce, scattered and hard to locate. Most of it is either too theoretical for working engineers, or is manufacturer literature that can’t be entirely trusted. Engineers and engineering managers need a comprehensive, up-to-date, and accurate reference to use when scoping out their designs incorporating Hall effect sensors. * A comprehensive, up-to-date reference to use when crafting all kinds of designs with Hall effect sensors*Replaces other information about sensors that is too theoretical, too biased toward one particular manufacturer, or too difficult to locate*Highly respected and influential author in the burgeoning sensors community


Creating Autonomous Vehicle Systems

Creating Autonomous Vehicle Systems
Author: Shaoshan Liu
Publisher: Morgan & Claypool Publishers
Total Pages: 285
Release: 2017-10-25
Genre: Computers
ISBN: 1681731673

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This book is the first technical overview of autonomous vehicles written for a general computing and engineering audience. The authors share their practical experiences of creating autonomous vehicle systems. These systems are complex, consisting of three major subsystems: (1) algorithms for localization, perception, and planning and control; (2) client systems, such as the robotics operating system and hardware platform; and (3) the cloud platform, which includes data storage, simulation, high-definition (HD) mapping, and deep learning model training. The algorithm subsystem extracts meaningful information from sensor raw data to understand its environment and make decisions about its actions. The client subsystem integrates these algorithms to meet real-time and reliability requirements. The cloud platform provides offline computing and storage capabilities for autonomous vehicles. Using the cloud platform, we are able to test new algorithms and update the HD map—plus, train better recognition, tracking, and decision models. This book consists of nine chapters. Chapter 1 provides an overview of autonomous vehicle systems; Chapter 2 focuses on localization technologies; Chapter 3 discusses traditional techniques used for perception; Chapter 4 discusses deep learning based techniques for perception; Chapter 5 introduces the planning and control sub-system, especially prediction and routing technologies; Chapter 6 focuses on motion planning and feedback control of the planning and control subsystem; Chapter 7 introduces reinforcement learning-based planning and control; Chapter 8 delves into the details of client systems design; and Chapter 9 provides the details of cloud platforms for autonomous driving. This book should be useful to students, researchers, and practitioners alike. Whether you are an undergraduate or a graduate student interested in autonomous driving, you will find herein a comprehensive overview of the whole autonomous vehicle technology stack. If you are an autonomous driving practitioner, the many practical techniques introduced in this book will be of interest to you. Researchers will also find plenty of references for an effective, deeper exploration of the various technologies.