Artificial Intelligence for Autonomous Vehicles: The Future of Driverless Technology
暫譯: 自動駕駛車輛的人工智慧：無人駕駛技術的未來
Rajendran, Sathiyaraj, Sabharwal, Munish, Hu, Yu-Chen
- 出版商: Wiley-Scrivener
- 出版日期: 2024-03-19
- 售價: $6,330
- 貴賓價: 9.5 折 $6,014
- 語言: 英文
- 頁數: 272
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 111984746X
- ISBN-13: 9781119847465
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相關分類:
自駕車
無法訂購
相關主題
商品描述
With the advent of advanced technologies in AI, driverless vehicles have elevated curiosity among various sectors of society. The automotive industry is in a technological boom with autonomous vehicle concepts. Autonomous driving is one of the crucial application areas of Artificial Intelligence (AI). Autonomous vehicles are armed with sensors, radars, and cameras. This made driverless technology possible in many parts of the world. In short, our traditional vehicle driving may swing to driverless technology. Many researchers are trying to come out with novel AI algorithms that are capable of handling driverless technology. The current existing algorithms are not able to support and elevate the concept of autonomous vehicles. This addresses the necessity of novel methods and tools focused to design and develop frameworks for autonomous vehicles.
There is a great demand for energy-efficient solutions for managing the data collected with the help of sensors. These operations are exclusively focused on non-traditional programming approaches and depend on machine learning techniques, which are part of AI. There are multiple issues that AI needs to resolve for us to achieve a reliable and safe driverless technology.
The purpose of this book is to find effective solutions to make autonomous vehicles a reality, presenting their challenges and endeavors. The major contribution of this book is to provide a bundle of AI solutions for driverless technology that can offer a safe, clean, and more convenient riskless mode of transportation.
商品描述(中文翻譯)
隨著人工智慧（AI）先進技術的出現，自駕車在社會各界引起了極大的好奇。汽車產業正處於自動駕駛概念的技術繁榮期。自動駕駛是人工智慧（AI）的一個關鍵應用領域。自駕車配備了感測器、雷達和攝影機，這使得無人駕駛技術在世界許多地方成為可能。簡而言之，我們傳統的駕駛方式可能會轉向無人駕駛技術。許多研究人員正在努力提出新穎的AI演算法，以應對無人駕駛技術的挑戰。目前現有的演算法無法支持和提升自動駕駛車輛的概念。因此，設計和開發自動駕駛車輛框架的新方法和工具的必要性變得尤為重要。
對於利用感測器收集的數據進行管理，市場對於能源效率解決方案的需求非常迫切。這些操作專注於非傳統的編程方法，並依賴於機器學習技術，這是AI的一部分。AI需要解決多個問題，以便我們能夠實現可靠且安全的無人駕駛技術。
本書的目的是尋找有效的解決方案，使自動駕駛車輛成為現實，並呈現其挑戰和努力。本書的主要貢獻是提供一系列針對無人駕駛技術的AI解決方案，這些方案能夠提供安全、清潔且更方便的無風險交通模式。
作者簡介
Sathiyaraj Rajendran, PhD, is an assistant professor in the School of Engineering & Technology at the Chikka Muniyappa Reddy University, Bangalore. He completed his PhD at Anna University, Chennai. He has more than nine years of experience and has collaborated actively with researchers in several other disciplines of computer science, particularly traffic prediction systems and intelligent systems. Additionally, he has authored more than 25 publications and filed five patents.
Munish Sabharwal, PhD, is a professor and dean in the School of Computing Science & Engineering, Galgotias University, Greater Noida, India, as well as an adjunct professor in the department of Applied Mathematics and IT at Samarkand State University, Samarkand, Uzbekistan. He has contributed over 21 years in teaching, education management, research, and software development. Additionally, he has published more than 55 research papers in conferences and journals and three books.
Yu-Chen Hu, PhD, is a professor in the Department of Computer Science and Information Management, Providence University, Sha-Lu, Taiwan. He is a senior member of Institute of Electrical and Electronics Engineers. He is also a member of Computer Vision, Graphics, and Image Processing (CVGIP), the Chinese Cryptology and Information Security Association (CCISA), Computer Science and Information Management (CSIM), and the Phi Tau Phi Society of the Republic of China. His research interests include digital forensics, information hiding, image and signal processing, data compression, information security, and data engineering.
Rajesh Kumar Dhanaraj, PhD, is an associate professor in the School of Computing Science and Engineering at Galgotias University, Greater Noida, Uttar Pradesh, India. He has published over 35 articles in various journals and conference proceedings and contributed chapters to many books. In addition to his teaching role, he is also an Expert Advisory Panel Member of Texas Instruments Inc., USA.
Balamurugan Balusamy is a professor at Galgotias University, Greater Noida, Uttar Pradesh, India with over 14 years of experience. He has published close to 30 books on various technologies, as well as over 150 quality journal, conference, and book chapters combined, visiting over 15 countries for his technical discourse. He serves on the advisory committee for several startups and forums and does consultancy work for the industry on Industrial Internet of Things.
作者簡介(中文翻譯)
Sathiyaraj Rajendran, PhD, 是班加羅爾 Chikka Muniyappa Reddy 大學工程與技術學院的助理教授。他在印度清奈的安娜大學完成了博士學位，擁有超過九年的經驗，並與計算機科學的其他多個學科的研究人員積極合作，特別是在交通預測系統和智能系統方面。此外，他已發表超過 25 篇論文並申請了五項專利。
Munish Sabharwal, PhD, 是印度大諾伊達 Galgotias 大學計算科學與工程學院的教授及院長，同時也是烏茲別克斯坦撒馬爾罕國立大學應用數學與資訊技術系的兼任教授。他在教學、教育管理、研究和軟體開發方面貢獻了超過 21 年的經驗。此外，他在會議和期刊上發表了超過 55 篇研究論文，並出版了三本書籍。
Yu-Chen Hu, PhD, 是台灣沙鹿的靜宜大學計算機科學與資訊管理系的教授。他是電機電子工程師學會的資深會員，並且是計算機視覺、圖形與影像處理 (CVGIP)、中華民國密碼學與資訊安全協會 (CCISA)、計算機科學與資訊管理 (CSIM) 以及中華民國 Phi Tau Phi 學會的成員。他的研究興趣包括數位取證、資訊隱藏、影像與信號處理、數據壓縮、資訊安全和數據工程。
Rajesh Kumar Dhanaraj, PhD, 是印度大諾伊達 Galgotias 大學計算科學與工程學院的副教授。他在各種期刊和會議論文集中發表了超過 35 篇文章，並為多本書籍貢獻了章節。除了教學角色外，他還是美國德州儀器公司的專家諮詢小組成員。
Balamurugan Balusamy 是印度大諾伊達 Galgotias 大學的教授，擁有超過 14 年的經驗。他已出版近 30 本有關各種技術的書籍，並在質量期刊、會議和書籍章節中發表了超過 150 篇文章，並因技術演講訪問了超過 15 個國家。他在多個初創企業和論壇的諮詢委員會中任職，並為工業界提供有關工業物聯網的顧問服務。
