商品描述
This book offers an accessible introduction to the fast-moving world of autonomous driving. Aimed at students, researchers, and professionals, it provides both a comprehensive overview and a hands-on guide to the core concepts and practical tools used to build self-driving cars. Autonomous driving stands at the intersection of artificial intelligence, robotics, embedded systems, and transportation engineering. Over the past two decades, the field has advanced from speculative prototypes to road-tested systems with significant industrial and societal impact. This textbook reflects that evolution, offering readers a structured yet flexible entry point into the autonomous vehicle (AV) ecosystem. Key topics include how autonomous vehicles perceive their surroundings, determine their location, plan routes, and make driving decisions. Each chapter bridges foundational concepts with real-world applications using open-source platforms such as ROS2, CARLA, BlueICE, and Autoware.Universe. Readers will gain hands-on experience through simulation environments, real-world datasets, and modular development tools. A unique emphasis on experiential learning encourages active engagement with the complexities of AV development. From simulating sensor fusion to implementing planning strategies and security protocols, learners interact directly with the technical and design challenges inherent in the field. Reflection exercises throughout the book emphasize ethical considerations and the societal implications of AV technology--underscoring the importance of responsible innovation alongside technical fluency. While some background in programming and mathematics is helpful, the content is designed to be approachable and engaging for a broad audience interested in the future of mobility. The organization of the text--from foundational chapters on perception and localization to advanced discussions of full-stack systems and industry trends--mirrors the layered architecture of an actual autonomous vehicle. Introduction to Autonomous Driving equips readers not only with the skills needed to contribute to AV projects today, but also with the conceptual clarity and critical perspective required for leadership in this transformative domain.
商品描述(中文翻譯)
本書提供了一個易於理解的自駕車快速發展世界的入門介紹。針對學生、研究人員和專業人士，它不僅提供了全面的概述，還提供了關於構建自駕車的核心概念和實用工具的實作指南。
自駕車位於人工智慧、機器人技術、嵌入式系統和交通工程的交匯點。在過去的二十年中，這個領域從推測性的原型發展到經過道路測試的系統，對工業和社會產生了重大影響。本教科書反映了這一演變，為讀者提供了一個結構化但靈活的進入自駕車（AV）生態系統的切入點。
主要主題包括自駕車如何感知周圍環境、確定其位置、規劃路徑和做出駕駛決策。每一章都將基礎概念與實際應用相結合，使用開源平台如 ROS2、CARLA、BlueICE 和 Autoware.Universe。讀者將通過模擬環境、實際數據集和模組化開發工具獲得實作經驗。
本書獨特地強調體驗式學習，鼓勵讀者積極參與自駕車開發的複雜性。從模擬感測器融合到實施規劃策略和安全協議，學習者直接與該領域固有的技術和設計挑戰互動。書中的反思練習強調倫理考量和自駕車技術的社會影響，突顯了在技術流利度的同時，負責任創新的重要性。
雖然具備一些程式設計和數學背景會有所幫助，但內容旨在讓對未來移動性感興趣的廣泛讀者群易於接觸和參與。文本的組織從感知和定位的基礎章節到全棧系統和行業趨勢的進階討論，反映了實際自駕車的分層架構。
《自駕車入門》不僅使讀者具備當前參與自駕車項目所需的技能，還提供了在這一變革性領域中所需的概念清晰度和批判性視角，以便於未來的領導。
作者簡介
Dr. Weisong Shi is the Alumni Distinguished Professor and Chair of the Department of Computer and Information Sciences at the University of Delaware. He directs the Connected and Autonomous Research (CAR) Laboratory, which actively collaborates with leading companies in the automotive industry. A globally recognized leader in edge computing and autonomous driving, Dr. Shi currently serves as the Honorary Director of the NSF eCAT Industry University Cooperative Research Center (IUCRC). His landmark paper, "Edge Computing: Vision and Challenges," has garnered over 8,800 citations. He is the Editor-in-Chief of IEEE Internet Computing and the founding chair of the steering committees for the ACM/IEEE Symposium on Edge Computing (SEC) and the IEEE International Conference on Mobility (MOST). Dr. Shi is a Fellow of the IEEE. Yuankai He is a Ph.D. candidate in Computer and Information Sciences at the University of Delaware and a researcher at the Connected and Autonomous Research Laboratory (CAR Lab). His work focuses on simulation frameworks, digital twin technologies, vehicle-to- everything (V2X) communication, and infrastructure-integrated computing systems for autonomous vehicles. He has developed modular tools for high-fidelity testing environments and contributed to systems that connect vehicles and infrastructure for collaborative driving.
作者簡介(中文翻譯)
施維松博士是德拉瓦大學計算機與信息科學系的校友傑出教授及系主任。他負責連接與自動化研究（CAR）實驗室，該實驗室與汽車行業的領先公司積極合作。施博士在邊緣計算和自動駕駛領域是全球公認的領導者，目前擔任美國國家科學基金會（NSF）eCAT產業大學合作研究中心（IUCRC）的名譽主任。他的里程碑論文《邊緣計算：願景與挑戰》已獲得超過8,800次引用。他是《IEEE Internet Computing》的主編，以及ACM/IEEE邊緣計算研討會（SEC）和IEEE國際移動會議（MOST）指導委員會的創始主席。施博士是IEEE的會士。
何元凱是德拉瓦大學計算機與信息科學的博士候選人，也是連接與自動化研究實驗室（CAR Lab）的研究員。他的研究專注於模擬框架、數位雙胞胎技術、車輛與一切（V2X）通信，以及自動駕駛車輛的基礎設施整合計算系統。他開發了高保真測試環境的模組化工具，並為連接車輛與基礎設施以實現協作駕駛的系統做出了貢獻。
