Creating Autonomous Vehicle Systems (Synthesis Lectures on Computer Science)
暫譯: 創建自動駕駛車輛系統(計算機科學綜合講座)
Shaoshan Liu, Liyun Li, Jie Tang
- 出版商: Morgan & Claypool
- 出版日期: 2017-10-25
- 售價: $3,180
- 貴賓價: 9.5 折 $3,021
- 語言: 英文
- 頁數: 198
- 裝訂: Hardcover
- ISBN: 1681732432
- ISBN-13: 9781681732435
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相關分類:
Computer-Science
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商品描述
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.
商品描述(中文翻譯)
這本書是針對一般計算和工程讀者所撰寫的第一本自動駕駛車輛的技術概述。作者分享了他們在創建自動駕駛車輛系統方面的實踐經驗。這些系統非常複雜,由三個主要子系統組成:(1) 用於定位、感知以及規劃和控制的演算法;(2) 客戶端系統,例如機器人操作系統和硬體平台;以及 (3) 雲平台,包括數據存儲、模擬、高解析度 (HD) 地圖和深度學習模型訓練。演算法子系統從傳感器的原始數據中提取有意義的信息,以理解其環境並對其行動做出決策。客戶端子系統整合這些演算法,以滿足實時性和可靠性要求。雲平台為自動駕駛車輛提供離線計算和存儲能力。利用雲平台,我們能夠測試新的演算法並更新 HD 地圖,此外,還能訓練更好的識別、追蹤和決策模型。
這本書由九個章節組成。第一章提供自動駕駛車輛系統的概述;第二章專注於定位技術;第三章討論用於感知的傳統技術;第四章討論基於深度學習的感知技術;第五章介紹規劃和控制子系統,特別是預測和路徑規劃技術;第六章專注於規劃和控制子系統的運動規劃和反饋控制;第七章介紹基於強化學習的規劃和控制;第八章深入探討客戶端系統設計的細節;第九章提供自動駕駛雲平台的詳細資訊。
這本書對學生、研究人員和實務工作者都應該有幫助。無論你是對自動駕駛感興趣的本科生還是研究生,你都會在這裡找到整個自動駕駛車輛技術堆疊的全面概述。如果你是自動駕駛的實務工作者,本書中介紹的許多實用技術將會引起你的興趣。研究人員也會發現許多參考資料,以便對各種技術進行有效且深入的探索。