Autonomous Driving Perception: Fundamentals and Applications
暫譯: 自駕車感知：基礎與應用

探索自動駕駛的電腦視覺與深度學習迷人世界，透過我們全面且深入的指南。深入探討尖端主題，精心設計以吸引大學學生，並激發研究人員和專業人士的好奇心。從基本原則到實際應用，這本綜合指南提供了溫和的入門介紹、對最先進方法的專家評估，以及啟發性的研究方向。涵蓋廣泛的主題，它也是提供電腦視覺和深度學習課程的大學項目的寶貴資源。本書提供清晰且簡化的演算法描述，使初學者能夠輕鬆理解複雜概念。我們還精心挑選了問題和範例，以幫助鞏固您的學習。不要錯過這本自動駕駛電腦視覺與深度學習的必備指南。

Prof. Rui (Ranger) Fan received the B.Eng. degree in Automation from the Harbin Institute of Technology in 2015 and the Ph.D. degree in Electrical and Electronic Engineering from the University of Bristol in 2018. He worked as a Research Associate at the Hong Kong University of Science and Technology from 2018 to 2020 and a Postdoc Scholar-Empolyee at the University of California San Diego between 2020 and 2021. He is currently a (full) Professor at Tongji University and Shanghai Research Institute for Intelligent Autonomous Systems. Rui was named in Stanford University List of Top 2% Scientists Worldwide in 2022. His research interests include computer vision, deep learning, and robotics.

Miss Sicen Guo is currently pursuing her Ph.D. degree, supervised by Prof. Rui Fan, with the Machine Intelligence and Autonomous Systems (MIAS) Group at Tongji University. She won 2 championships in the VEX Robotics competitions: the Silk Road Robot Innovation Competition and the AsianYouth Robotics Competition. She also won the national first prize and the Zigbee Innovation Award of the HUAWEI CUP National Undergraduate IoT design contest. She participated in the 2020 Undergraduate Electronic design contest and was honored with the national second prize. Her research interests include stereo matching and semantic segmentation.

Dr. Mohammud Junaid Bocus is an exceptional researcher in the field of electronic and communication engineering. With an illustrious academic background, including a B.Eng. degree (first-class honors) in Electronic and Communication Engineering from the University of Mauritius and an M.Sc. degree (distinction) in Wireless Communications and Signal Processing from the esteemed University of Bristol, he solidified his expertise by earning a Ph.D. degree in Electrical and Electronic Engineering from the same institution. Driven by a passion for innovation, Dr. Bocus explores diverse domains such as terrestrial and underwater wireless communication, signal processing, video coding, computer vision, and machine/deep learning. His research endeavors focus on practical applications, notably road surface reconstruction, lane detection, and road crack/pothole detection, leveraging state-of-the-art techniques in computer vision and machine learning. With prior experience as a research associate on the OPERA project, he also made significant contributions in passive human activity recognition and localization using radio-frequency systems. Currently, as a postdoctoral researcher at the University of Bristol, Dr. Bocus plays a pivotal role in the NGCDI project, delving into the fascinating realm of Goal Oriented Communications, joint communications and sensing, and deep learning with emergent communications.

教授范瑞（Ranger Fan）於2015年獲得哈爾濱工業大學自動化工程學士學位，並於2018年獲得布里斯托大學電氣與電子工程博士學位。他於2018年至2020年在香港科技大學擔任研究助理，並於2020年至2021年在加州大學聖地牙哥分校擔任博士後研究學者。現在，他是同濟大學及上海智能自主系統研究院的（正）教授。范教授於2022年入選史丹佛大學全球前2%科學家名單。他的研究興趣包括計算機視覺、深度學習和機器人技術。

郭思辰小姐目前在同濟大學的機器智能與自主系統（MIAS）小組攻讀博士學位，指導教授為范瑞教授。她在VEX機器人競賽中獲得兩項冠軍：絲綢之路機器人創新競賽和亞洲青年機器人競賽。她還在HUAWEI CUP全國大學生物聯網設計大賽中獲得全國一等獎和Zigbee創新獎。她參加了2020年全國大學生電子設計大賽，並榮獲全國二等獎。她的研究興趣包括立體匹配和語義分割。

穆罕默德·朱奈德·博庫斯博士是一位在電子與通信工程領域的卓越研究者。他擁有卓越的學術背景，包括在毛里求斯大學獲得電子與通信工程一級榮譽學士學位，以及在著名的布里斯托大學獲得無線通信與信號處理的優異碩士學位，並在同一所學校獲得電氣與電子工程博士學位，鞏固了他的專業知識。博庫斯博士對創新充滿熱情，探索多個領域，如地面和水下無線通信、信號處理、視頻編碼、計算機視覺以及機器/深度學習。他的研究工作專注於實際應用，特別是道路表面重建、車道檢測和道路裂縫/坑洞檢測，利用計算機視覺和機器學習的先進技術。作為OPERA項目的研究助理，他在被動人類活動識別和定位方面也做出了重要貢獻。目前，博庫斯博士作為布里斯托大學的博士後研究員，在NGCDI項目中扮演關鍵角色，深入研究以目標為導向的通信、聯合通信與感知以及與新興通信相關的深度學習。