Creating Autonomous Vehicle Systems

Shaoshan Liu · Liyun Li · Jie Tang · Shuang Wu · Jean-Luc Gaudiot

नोव्हें २०२२ · Springer Nature

ई-पुस्तक

186

पेज

रेटिंग आणि परीक्षणे यांची पडताळणी केलेली नाही अधिक जाणून घ्या

या ई-पुस्तकाविषयी

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 technologystack. 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.

लेखकाविषयी

Y.C. Tay received his BSc from the University of Singapore and PhD from Harvard University. He is a professor in the Department of Mathematics and Department of Computer Science at the National University of Singapore. He has spent sabbaticals at Princeton, MIT, Cambridge, UCLA, Microsoft, Intel and VMware. He has served on program committees for SIGMET-RICS, SIGMOD, PERFORMANCE, VLDB, ICDE, MASCOTS, IWQoS and ICS. His main research interest is performance modeling (database transactions, wireless protocols, trafficequilibrium, cache misses). Other interests include database systems and distributed protocols. He has won several teaching awards.

या ई-पुस्तकला रेटिंग द्या

तुम्हाला काय वाटते ते आम्हाला सांगा.

वाचन माहिती

स्मार्टफोन आणि टॅबलेट

Android आणि iPad/iPhone साठी Google Play बुक अ‍ॅप इंस्‍टॉल करा. हे तुमच्‍या खात्‍याने आपोआप सिंक होते आणि तुम्‍ही जेथे कुठे असाल तेथून तुम्‍हाला ऑनलाइन किंवा ऑफलाइन वाचण्‍याची अनुमती देते.

लॅपटॉप आणि कॉंप्युटर

तुम्ही तुमच्या काँप्युटरचा वेब ब्राउझर वापरून Google Play वर खरेदी केलेली ऑडिओबुक ऐकू शकता.

ईवाचक आणि इतर डिव्हाइसेस

Kobo eReaders सारख्या ई-इंक डिव्‍हाइसवर वाचण्‍यासाठी, तुम्ही एखादी फाइल डाउनलोड करून ती तुमच्‍या डिव्‍हाइसवर ट्रान्सफर करणे आवश्यक आहे. सपोर्ट असलेल्या eReaders वर फाइल ट्रान्सफर करण्यासाठी, मदत केंद्र मधील तपशीलवार सूचना फॉलो करा.

बेकायदेशीर आशयाची तक्रार करा