作品简介

　　本书参照产业界自动驾驶技术研发的基本流程，充分借鉴了产业界在自动驾驶技术领域中的实际研发经验，以高性能的智能小车和高度仿真的车道沙盘为实验教具和运行环境，深入浅出地讲解自动驾驶技术的原理与实际应用，为初学者打开一扇通往人工智能世界的大门。本书以帮助初学者如何从无到有地打造出具备自动驾驶功能的智能小车为主线，内容分为看车（了解自动驾驶）、造车（设计智能小车）、开车（收集训练数据）、写车（编写自动驾驶模型）、算车（训练和优化自动驾驶模型）、玩车（部署并验证自动驾驶模型）6章。初学者可以通过边学习理论知识边动手实践的方式，系统学习人工智能的算法理论和应用实例。本书没有堆砌艰深晦涩的公式推导，力求将枯燥难解的算法原理及模型进行直观的讲解，希望读者在学习的过程中，了解现实中自动驾驶技术的发展并获得运用人工智能解决自动驾驶难题的乐趣。

　　本书适合作为高等院校智能科学与技术、人工智能相关专业的教材，也适合作为人工智能研究人员、开发人员的参考书。

　　胡波，复旦大学教授、博士生导师。担任工业与信息化部IMT-2030（6G）推进组专家组成员、教育部电子信息类专业教学指导委员会委员、华为无线通信接入技术国家重点实验室学术委员会委员、上海市电子学会副理事长等学术职务。先后主持教育部新工科研究与实践项目、产教协同育人项目及上海市教改项目多项。主要从事智能信息处理与传输、未来无线通信技术、智能传感网的参数估计与跟踪、智能图像与视频处理、基于视频的目标检测与跟踪、智能信息处理（图像、视频）系统设计与实现等方面的研究。

Introduction of works

This book refers to the basic process of automatic driving technology research and development in the industry, fully draws on the actual research and development experience of the industry in the field of automatic driving technology, uses high-performance intelligent cars and highly simulated driveway sand table as experimental teaching AIDS and operating environment, and explains the principle and practical application of automatic driving technology in a simple way, opening a door to the world of artificial intelligence for beginners. The main line of this book is to help beginners how to create an intelligent car with autonomous driving functions from scratch, and the content is divided into 6 chapters: car watching (understanding autonomous driving), car building (designing intelligent cars), driving (collecting training data), writing cars (writing autonomous driving models), calculating cars (training and optimizing autonomous driving models), and playing cars (deploying and verifying autonomous driving models). Beginners can systematically learn the algorithm theory and application examples of artificial intelligence through the way of hands-on practice while learning theoretical knowledge. This book does not pile up difficult and obscure formula derivation, and strives to intuitively explain the boring and difficult algorithm principles and models, hoping that readers can understand the development of automatic driving technology in reality and get the fun of using artificial intelligence to solve automatic driving problems in the process of learning.

This book is suitable for teaching materials for intelligent science and technology and artificial intelligence-related majors in colleges and universities, as well as for reference books for artificial intelligence researchers and developers.

Hu Bo, professor and doctoral supervisor of Fudan University. He served as a member of the expert group of IMT-2030 (6G) promotion Group of the Ministry of Industry and Information Technology, a member of the Electronic Information Teaching Steering Committee of the Ministry of Education, a member of the academic committee of Huawei State Key Laboratory of Wireless Communication Access Technology, and vice president of Shanghai Electronics Society. He has presided over a number of new engineering research and practice projects of the Ministry of Education, production-education collaborative education projects and Shanghai Education reform projects. He is mainly engaged in the research of intelligent information processing and transmission, future wireless communication technology, intelligent sensor network parameter estimation and tracking, intelligent image and video processing, video-based target detection and tracking, intelligent information processing (image, video) system design and implementation.